Disambiguation

In this episode of the Disambiguation podcast, host Michael Fauscette sits down with Chris Morancie, Fractional CTO and Founder of Digital Operations Factory, for a deeply technical and practical conversation about why AI governance has to be engineered into your architecture, not bolted on after the fact.Chris brings a unique combination of computer information systems, an MBA in business strategy, and a master's in data science to the problem of getting AI into production safely. His core argument: if your governance cannot stop your model from doing something wrong in real time, then it is not governance, it is just documentation.The conversation covers his three-part scalability test (design for scale, make sure it doesn't break at scale, don't go broke at scale), the Goldilocks zone for model selection, why agents should be treated through a microservices security lens with least-privilege access and short-term tokens, the firewall pattern for policy enforcement, real-time semantic interceptors for customer-facing AI, operational sovereignty and vendor SLA inheritance, IP leakage through model training, and a practical trust-vs-reasoning quadrant for managing hybrid human-agent teams.Timestamps:00:00 - Introduction00:44 - Chris's background: Caribbean upbringing, CIS + MBA + Data Science03:48 - The AI production framework: design for scale, don't break at scale, don't go broke at scale07:17 - The Goldilocks zone: model selection and cost benchmarking09:28 - Assertion testing vs. evaluation testing for model quality10:25 - "If your governance can't stop your model in real time, it's just documentation"13:26 - The firewall pattern: policy agents with least-privilege, short-term tokens16:09 - AI governance as good old-fashioned software hygiene17:49 - Real-time semantic interceptors for customer-facing agents21:15 - Competing goals: why prompts alone cannot prevent policy violations24:02 - Agent security: every ingress and egress point is a vector27:55 - RAG poisoning and downstream injection attacks29:00 - Operational sovereignty: SLA inheritance and vendor risk34:56 - IP leakage: when your feedback trains a competitor's model36:16 - Trust vs. reasoning: a quadrant for managing hybrid teams41:37 - Advice by company size: economics for SMEs, security for enterprise45:25 - Recommendation: DALI Research Labs (YouTube)Guest: Chris Morancie, Fractional CTO and Founder, Digital Operations FactoryHost: Michael Fauscette, CEO & Chief Analyst, Arion ResearchSubscribe and turn on notifications so you never miss an episode.

In this episode of the Disambiguation podcast, host Michael Fauscette talks with Clayton Bryan, Head of Enterprise at Quill, about why data sovereignty is becoming the defining issue for enterprise AI adoption and why most companies are on the wrong side of the trend.Clayton spent a decade as an early-stage investor at 500 Global before joining Quill, where he leads enterprise strategy. Quill's architecture is built local-first: audio transcription never leaves your device, and enterprise clients can bring their own LLM stack so that all data stays under their control. Clayton explains why this matters for regulated industries from defense to healthcare to financial services, how CISOs are becoming advocates once they understand the architecture, and why bolt-on governance will always leave gaps.The conversation covers why ChatGPT has a "professional trust deficit," why the line between enterprise and personal AI is dissolving, how Quill's agent (Quilliam) automates post-meeting workflows like CRM updates and project management tickets, and why data sovereignty is on the same trajectory as HTTPS -- optional today for some, table stakes tomorrow for all.Timestamps:00:00 - Introduction00:44 - Clayton's journey from 500 Global investor to joining Quill03:48 - "AI without compromise" -- what that actually means04:22 - Local-first architecture: audio never leaves your device06:45 - Air-gapped deployments and who needs them08:17 - GDPR demand and the EU enterprise tour09:28 - Convenience vs. compliance: the real tradeoff10:38 - Bottom-up adoption: when CISOs investigate and become advocates12:34 - Why bolt-on governance is broken14:28 - Governance by design at machine speed14:57 - Investor-founders who understand what enterprise buyers actually need17:11 - ChatGPT's "professional trust deficit"19:31 - The dissolving line between enterprise and personal AI20:48 - Beyond transcription: automating post-meeting workflows with Quilliam24:27 - AI and the future of work: new skills, new opportunities27:18 - Vibe coding: prototypes vs. production30:13 - The future: local-first as minimum standard, not premium option31:57 - Data sovereignty is the next HTTPS33:12 - Recommendation: Matthew BermanGuest: Clayton Bryan, Head of Enterprise, QuillHost: Michael Fauscette, CEO & Chief Analyst, Arion ResearchSubscribe and turn on notifications so you never miss an episode.

In this episode of the Disambiguation podcast, host Michael Fauscette sits down with Dr. Deepak Bhootra, Founder of RISEUP Career Studio, for a candid conversation about why AI is creating an illusion of progress in sales while the real, hard work remains deeply human.With 30 years in sales, a doctoral degree studying job satisfaction and organizational commitment, and an ICF coaching certification, Deepak brings a unique lens to the collision between AI hype and sales reality. He explains why salespeople use AI for the easy stuff like drafting emails but avoid using it for the hard stuff like self-reflection and honest deal analysis. He unpacks the "seductive" nature of AI output that makes activity feel like progress, the rise of individual shadow IT stacks where top reps spend $300 a month on personal tools they refuse to share, and why automating a broken process just scales the brokenness faster.Deepak also introduces RISEUP Career Studio, his platform designed to help early-career professionals (ages 21-35) build the judgment, self-reflection, and career navigation skills that no college degree teaches and no AI can replace.Timestamps:00:00 - Introduction00:45 - Deepak's 30-year sales journey and why he founded RISEUP04:08 - "AI is the biggest distraction" in sales06:37 - Why salespeople will never admit AI made them better07:58 - How sales leaders should reframe AI adoption10:16 - The cold email nightmare: 12,000 to 62,000 emails, same revenue12:05 - AI-written LinkedIn profiles are sending false signals14:35 - Shadow IT goes personal: reps building their own AI stacks18:35 - Why top reps refuse to share their prompts20:23 - The ethics of presenting AI output as your own work23:42 - 70% transformation failure and the vision-to-execution gap26:31 - "Scaling stupidity": when AI automates broken processes29:13 - The black box trust problem in sales AI31:31 - Using generative AI to demystify predictive AI36:01 - RISEUP Career Studio: structured guidance for early careers44:56 - The future of sales will be more human, not less48:20 - Generic sellers are the next geriatrics50:07 - Recommendations: Suresh Vasu, Mark Finnick, Ethan MollickGuest: Dr. Deepak Bhootra, Founder, RISEUP Career StudioHost: Michael Fauscette, CEO & Chief Analyst, Arion ResearchSubscribe and turn on notifications so you never miss an episode.

Most enterprises think they are ready for autonomous IT. Most are not. And frankly, they should not pretend they are.In this episode, Michael Fauscette sits down with Brian Amaro, Vice President of Customer Value and Partner Strategy at ScienceLogic, to map the real journey from reactive, siloed IT operations to autonomic IT. Brian shares the maturity progression his team built from hundreds of Fortune 500 engagements, the 15% adoption rate story that exposes the biggest misconception about AI in IT ops, and why the first win is never self-healing. It is better judgment under pressure.TIMESTAMPS:00:00 - Introduction01:03 - Brian's Background and What ScienceLogic Does02:51 - Why AI Can't Be Bolted On: ScienceLogic's Ground-Up Rebuild04:55 - Autonomic IT: Where Are We Really on the Journey?07:20 - Assisted Autonomy Is Real; Broad Autonomy Is Not a Day One Strategy09:23 - Human in the Loop to Human in the Lead: The Trust Progression10:05 - Trust Formation, Not Speed: Where Most AI Adoption Goes Wrong10:53 - The 15% Adoption Rate Story: Why Engineers Resisted AI12:19 - Human on the Loop: Supervising Outcomes, Not Approving Actions12:41 - Human in the Lead: Defining Intent, Not Controlling Tasks13:59 - Moving Past the Approval Trap: Policy-Based Control16:19 - Skylar Advisor: From "What Fired" to "What Matters"19:31 - Why Observability, AI, Automation and Compliance Must Be One Platform22:05 - What Analyst Recognition Tells Us About Where the Market Is Heading24:09 - AI Governance by Design: Guardrails, Auditability, and Transparency27:13 - Real-World Customer Journey: From Reactive Ops to Governed Automation30:17 - The First Win Is Not Self-Healing: It Is Better Judgment Under Pressure31:00 - The Hybrid Workforce in IT Ops: Better Leverage, Not Fewer Engineers33:56 - The 2-3 Year Outlook: AI as Operating Model, Not Feature Rollout36:13 - Don't Wait for Perfect Data: Start Where the Pain Is High37:15 - Brian's Recommendation: Ethan Mollick's Co-Intelligence38:30 - Wrap-UpABOUT THE GUEST:Brian Amaro is the Vice President of Customer Value and Partner Strategy at ScienceLogic, where he has spent years working across customer strategy, advisory, and operational transformation. A certified Project Management Professional (PMP) with 30 years of experience, Brian helped build ScienceLogic's maturity model drawn from over 300 Fortune 500 customer engagements.ABOUT DISAMBIGUATION:AI clarity for business leaders. New episodes every Wednesday.Host: Michael Fauscette, CEO & Chief Analyst at Arion ResearchAuthor of "Building the Digital Workforce"SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.Website: https://www.disambiguationpod.com/Arion Research: https://www.arionresearch.com/LinkedIn: https://www.linkedin.com/in/mfauscette/

Most companies jump straight to AI use cases. They pick the hottest tools, launch pilots, and wonder why nothing scales. The problem isn't the technology. It's that they don't have a map of how work and decisions actually move through their organization.In this episode, Michael Fauscette sits down with Minyang Jiang (MJ), Chief Strategy & Revenue Officer at Credibly, to unpack what she calls the Intelligence Model: a framework for understanding where AI excels, where humans still lead, and why the scarcity models that shaped how businesses operate for decades are now being fundamentally challenged by AI's abundance. MJ also shares hard-won lessons from leading AI transformation at a fintech lending company, including why friction is something leaders should protect, not eliminate.TIMESTAMPS:00:00 - Introduction01:16 - MJ's Path: From Ford Motor Company to Fintech AI Transformation03:17 - Why System-Level AI Change Is So Hard for Real Businesses06:52 - The Intelligence Model: Mapping Work Before You Automate It09:05 - The Scarcity Problem: Decisions Built Around Human Limits10:34 - Where Humans Still Beat AI: Prioritization, Decisioning, and Intuition13:17 - Why Human-AI Collaboration Still Produces the Best Results15:52 - The Awkward Teenage Phase of AI Agents18:32 - AI Has No Mental Model: The Adjacency of Expertise Problem22:23 - Credibly AI: Patented AI Underwriting and Industry Classification27:01 - The Explainability Tension: Complexity vs. Customer Trust29:39 - Change Management: The Crowd, the Lab, and the Leader33:35 - The Balloon Effect: Why AI Productivity Creates More Work, Not Less37:19 - Human in the Loop to Human in the Lead: The Trust Progression42:10 - Agent-to-Agent Commerce: Redesigning for Machine Buyers45:37 - What Leaders Should NOT Do: The Case for Intentional Friction48:48 - MJ's Recommendations: Stefano Bertoni and Lenny's Newsletter49:51 - Wrap-UpABOUT THE GUEST:Minyang Jiang (MJ) is the Chief Strategy & Revenue Officer at Credibly, a fintech lending company, where she leads the AI transformation and innovation team. Her career spans Ford Motor Company's marketing program, founding the Go Ride Health startup within Ford's mobility division, and building cross-functional AI adoption strategies in financial services.ABOUT DISAMBIGUATION:AI clarity for business leaders. New episodes every Wednesday.Host: Michael Fauscette, CEO & Chief Analyst at Arion ResearchAuthor of "Building the Digital Workforce"SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.Website: https://www.disambiguationpod.com/Arion Research: https://www.arionresearch.com/LinkedIn: https://www.linkedin.com/in/mfauscette/

Up to 30% of enterprise code is now AI-generated. Microsoft's CTO projects 90% by 2030. But here's the problem: AI coding tools are optimized for speed and functionality, not security. Research shows AI-assisted development introduces roughly 45% more bugs and 40% more security vulnerabilities. And only 13% of AI-generated code is attributed back to a developer.So who's accountable? And who guards the gates?In this episode, Michael Fauscette sits down with Nir Valtman, co-founder and CEO of Arnica, to unpack why the speed gains from agentic coding come with hidden security costs, how to move from "vibe coding" to viable coding, and what a mature, secure AI-assisted development workflow actually looks like.TIMESTAMPS:00:00 - Introduction00:43 - Nir Valtman's Journey: From Hacker to Security CEO03:08 - The SolarWinds Turning Point06:02 - The Hidden Risk of AI-Generated Code08:17 - 45% More Bugs, 40% More Vulnerabilities: The Research09:00 - The Attribution Problem: Only 13% Traced to Developers10:00 - The Hidden Cost of Faster Code Generation10:50 - Guiding Coding Agents to Write Secure Code12:55 - Why Security at the Model Level Is Cost-Prohibitive15:16 - Arnica's Agentic Rules Enforcer and AI SAST20:33 - Pipeline-Based vs. Event-Driven Security Scanning24:00 - From Vibe Coding to Viable Coding24:57 - The Vision: Autonomous Software Development Done Right27:40 - Where Humans in the Loop Still Matter29:55 - What Keeps a Security CEO Up at Night32:02 - The Cost Challenge of Enterprise-Scale AI Scanning35:15 - Agents as a Digital Workforce for Development35:57 - Where CISOs Should Start Right Now38:23 - Governance by Design Meets AppSec41:13 - Nir's Recommendation: The Acquired Podcast42:35 - Wrap-UpABOUT THE GUEST:Nir Valtman is the co-founder and CEO of Arnica, a software supply chain security company. He holds seven patents in software security and has held security leadership roles including CSO at Kabbage and VP of Security at Nostra. Nir brings a hacker's mindset to enterprise application security.ABOUT DISAMBIGUATION:AI clarity for business leaders. New episodes every Wednesday.Host: Michael Fauscette, CEO & Chief Analyst at Arion ResearchAuthor of "Building the Digital Workforce"SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.Website: https://www.disambiguationpod.com/Arion Research: https://www.arionresearch.com/LinkedIn: https://www.linkedin.com/in/mfauscette/

Your AI agents are running. But can you go to sleep at night knowing they won't send 3,000 emails to the same person, run up a $3,000 bill overnight, or give away refunds your business can't afford?In this episode, Michael Fauscette sits down with Logan Kelly, CEO of Waxell AI, to explore why governance for agentic systems is not observability, not guardrails, and not something you bolt on after deployment. It's a dedicated plane that has to be there from the start.TIMESTAMPS:00:00 - Introduction00:45 - Logan's journey from CallSine (autonomous sales agents) to Waxell AI03:55 - What a governance plane actually does and why the distinction matters07:06 - Why "we'll deal with governance later" is a dangerous bet09:34 - 26 governance categories and 200-300 policies per agent fleet10:20 - Deterministic observability vs. probabilistic agent governance13:14 - Failure modes don't have to be terminal: the manager-employee model14:05 - The Gong analogy: why agents need real-time coaching, not post-game review16:42 - Making governance accessible to non-engineers18:12 - Real-time semantic interception: filtering outputs before they reach the customer21:17 - The air traffic controller analogy: governing upstream, not at the gate23:11 - Business operations teams setting agent policies without writing code25:43 - Digital employees: why business leaders need to be in the governance loop28:00 - "Go to sleep at night" as the real value proposition of governance29:47 - MCP layer security vulnerabilities and the rug pull attack31:16 - Governance by design: building it into infrastructure from day one34:07 - How governance actually makes agents faster and more creative35:31 - Protecting customer experience and brand at machine speed39:29 - The next 12-18 months: autonomy at scale vs. co-work at scale43:02 - Thought leader recommendation: Dharmesh Shah (HubSpot)ABOUT THE GUEST:Logan Kelly is the CEO of Waxell AI, a governance plane for agentic systems. Previously, he founded CallSine, an AI-driven sales engagement platform that deployed fully autonomous agents, where he experienced firsthand the cost, quality, and security challenges that emerge when agents operate without a governance layer. That experience drove him to build the infrastructure that lets organizations run agents safely at scale.CONNECT WITH LOGAN:LinkedIn: https://www.linkedin.com/in/logankkelly/Company: https://www.waxell.ai/ABOUT DISAMBIGUATION:AI clarity for business leaders. New episodes every Wednesday.Host: Michael Fauscette, CEO & Chief Analyst at Arion ResearchAuthor of "Building the Digital Workforce"SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.Website: https://www.disambiguationpod.com/Arion Research: https://www.arionresearch.com/LinkedIn: https://www.linkedin.com/in/mfauscette/#AI #ArtificialIntelligence #AgenticAI #AIGovernance #EnterpriseAI #AIStrategy #AIAgents #Podcast

A US AI company designated a supply chain risk by its own government. An executive order to override state AI regulation. A paper that stunned the math world. March was one of the most consequential months in AI yet.In this episode, Michael Fauscette and co-host Tom Pringle break down the biggest AI stories of March 2026, from the Anthropic-DoD standoff and its fallout, to OpenAI's GPT-5.4, NVIDIA's Vera Rubin platform, Yann LeCun's world models startup, Gemini's Apple partnership, the state of AI regulation on both sides of the Atlantic, and why governance by design isn't optional anymore.TIMESTAMPS:00:00 - Introduction01:05 - Anthropic vs. the Department of Defense: Supply Chain Risk Designation06:15 - The #UninstallChatGPT Movement and Claude's Surge08:20 - Red Lines: Autonomous Weapons and Mass Surveillance14:45 - OpenAI GPT-5.4 and Autonomous Multi-Step Workflows17:50 - Governance by Design: Why After-the-Fact Doesn't Work at Machine Speed23:20 - Rethinking Corporate Structure for a Hybrid Workforce25:15 - NVIDIA Vera Rubin: 10x Performance Per Watt Over Blackwell28:10 - Yann LeCun Leaves Meta, Launches World Models Startup33:48 - Gemini 3.1 Pro, Apple Intelligence, and the Model Race43:25 - Donald Knuth's "Cloud Cycles" Paper: Claude Opus 4.6 Stuns Mathematicians45:55 - AI Regulation: Trump's Executive Order vs. EU AI Act Delays53:00 - Cool Tech: Lego's AI-Powered Smart Brick57:35 - Wrap-UpABOUT THE CO-HOST:Tom Pringle is Director of Pilot Research, bringing a sharp, skeptical perspective on AI hype and a deep background in enterprise technology.ABOUT DISAMBIGUATION:AI clarity for business leaders. New episodes every Wednesday.Host: Michael Fauscette, CEO & Chief Analyst at Arion ResearchAuthor of "Building the Digital Workforce"SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.Website: https://www.disambiguationpod.com/Arion Research: https://www.arionresearch.com/LinkedIn: https://www.linkedin.com/in/mfauscette/

We spend millions upgrading our technology infrastructure. We budget for servers, software, security. But what if the most critical infrastructure in your organization has no line item at all?In this episode, Michael Fauscette sits down with Barbara Wittmann, Founder of Digital Wisdom Collective, to explore why "human infrastructure" should be on every CIO's budget, why change management is an outdated concept, and what it actually takes to prepare people for AI at the speed the technology demands.TIMESTAMPS:00:00 - Introduction00:48 - Barbara's 25 years rescuing broken digital transformations02:46 - The moment she decided to flip the equation03:54 - Human infrastructure: what it includes and why it belongs on the IT budget05:23 - Why AI failures are almost always human failures06:10 - Change management is dead; continuous upgrade is what works07:15 - Lessons from SAP's Business Process Renovation team and Hasso Plattner10:03 - Why workers still keep Excel backups next to their enterprise systems11:39 - Survival of the wisest: wisdom vs. knowledge in the AI era14:58 - Wayfinding artifacts: shared maps that give organizations a compass17:52 - Adaptive agency: the skill nobody is training for20:58 - Human in the lead, not human in the loop22:26 - Values-based AI governance and the ego problem25:17 - The biggest breaking point is on the human side, not the tech side28:44 - What 5,000+ IT leaders say about their AI adoption struggles31:36 - Continuous upgrade: why one-and-done transformation is broken34:12 - Judgment as the fastest-eroding human capability37:09 - Thought leader recommendation: Unreasonable Hospitality by Will GuidaraABOUT THE GUEST:Barbara Wittmann is the Founder of Digital Wisdom Collective, where she helps organizations upgrade their human infrastructure for the AI era. With 25 years of experience rescuing broken digital transformation projects, including work on SAP's Business Process Renovation team alongside Hasso Plattner, Barbara brings a practitioner's perspective on why technology is rarely the problem and people always are.CONNECT WITH BARBARA:LinkedIn: https://www.linkedin.com/in/barbarawittmann/Company: Digital Wisdom CollectiveABOUT DISAMBIGUATION:AI clarity for business leaders. New episodes every Wednesday.Host: Michael Fauscette, CEO & Chief Analyst at Arion ResearchAuthor of "Building the Digital Workforce"SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.Website: https://www.disambiguationpod.com/Arion Research: https://www.arionresearch.com/LinkedIn: https://www.linkedin.com/in/mfauscette/#AI #ArtificialIntelligence #HumanInfrastructure #ChangeManagement #AIGovernance #DigitalTransformation #Leadership #EnterpriseAI #Podcast

Your website traffic is dropping, your click-through rates are falling, and your PDF lead magnets are dying in email inboxes. The way people search has changed, and if your content isn't structured for AI discovery, you're becoming invisible.In this episode, Michael Fauscette sits down with Jenna Nelson, Founder of Her Agency, to explore the shift from SEO to AEO and GEO, why static content strategies are failing, and how to structure your brand for the way people actually search in 2026.TIMESTAMPS: 00:00 - Introduction 00:46 - Jenna's background in digital marketing and AI implementation 01:58 - The AI adoption timeline: why two years from now is too late 04:01 - The leveling effect: small businesses can leapfrog right now 05:45 - Change management: why AI breaks bad processes faster 07:09 - The shift from keyword search to query-and-answer content 10:17 - Zero-click search and why the top three results are all that matter 11:39 - Writing for machines and humans: structured schemas and FAQs 13:36 - AEO vs GEO: answer engines vs generative engines explained 15:53 - The generational shift: LLM-first search is already here 17:21 - Tools for testing your AI visibility: Squarespace, Search Atlas 18:55 - Static lead magnets are dead: what replaces the PDF 22:38 - Michael's readiness assessment tool as a live example 24:30 - How AI-powered qualification tools transformed Jenna's sales process 26:29 - Speed to market: test offers in an hour, not six months 27:54 - Brand-trained AI vs out-of-the-box: the difference is night and day 30:29 - Reinforcement learning: feed your edits back into the system 32:40 - Hyper-personalized lead gen: segmentation at the individual level 35:43 - Advice for SMBs: start with visibility, then internal tools, then client-facing 38:23 - Leadership and AI adoption: it should come from the top 40:42 - Thought leader recommendation: vibe coding tools like Lovable and CursorABOUT THE GUEST: Jenna Nelson is the Founder of Her Agency, a digital marketing and AI implementation firm that helps businesses optimize their visibility for the AI-driven search landscape. With a background in brand strategy and digital marketing, Jenna specializes in AEO/GEO optimization, AI-powered lead generation tools, and helping companies train AI on their brand voice.CONNECT WITH JENNA: LinkedIn: https://www.linkedin.com/in/jennalnelson/ Company: Her AgencyABOUT DISAMBIGUATION: AI clarity for business leaders. New episodes every Wednesday. Host: Michael Fauscette, CEO & Chief Analyst at Arion Research Author of "Building the Digital Workforce"SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.Website: https://www.disambiguationpod.com/ Arion Research: https://www.arionresearch.com/ LinkedIn: https://www.linkedin.com/in/mfauscette/

What happens when a 25-year network engineer discovers that AI agents can talk directly to infrastructure? The answer is reshaping how we think about network operations, governance, and the future of IT.In this episode, Michael Fauscette sits down with John Capobianco, Head of AI and Developer Relations at Itential, to explore how Model Context Protocol (MCP) is becoming the connective tissue between AI agents and enterprise systems, why network infrastructure needs a governance layer before autonomy, and what happens when you let 500 engineers loose on an AI agent in Slack.TIMESTAMPS:00:00 - Introduction00:47 - John's journey from aluminum factory to network engineering03:08 - MCP explained: why it's as significant as SMTP or HTTP07:37 - Why business leaders should care about MCP10:06 - Michael's personal MCP use case: content retrieval bot12:40 - Democratizing access: you don't need a CS degree to start14:03 - Web MCP: the future of agent-driven web interaction16:12 - The Pyats MCP server: agents talking to Cisco devices19:44 - How natural language changes network troubleshooting22:01 - Itential's Flow AI and Flow MCP Gateway: the governance control layer25:52 - Human in the loop, on the loop, and in the lead26:34 - Governance by design: baking in guardrails, not bolting them on30:10 - The digital workforce paradigm for agent deployment33:28 - Open Claude bot: 1.5 million agents in six weeks35:04 - MCP security: shadow AI, vetting tools, and common sense39:02 - The Open Claude bot story: 30 social engineering attacks defeated43:42 - Advice for IT leaders who feel they're falling behind45:48 - The NOC in two years: Gartner's 70% augmentation prediction50:30 - Thought leader recommendation: Damon LightfootABOUT THE GUEST:John Capobianco is Head of AI and Developer Relations at Itential, with 25 years of network engineering experience spanning public and private sector roles, including senior network architect at the Parliament of Canada. He's authored two books on network automation, including a Cisco Press title on Pyats, and is a leading voice on blending AI agents with infrastructure management.CONNECT WITH JOHN:LinkedIn: https://www.linkedin.com/in/john-capobianco-644a1515/Company: https://www.itential.com/ABOUT DISAMBIGUATION:AI clarity for business leaders. New episodes every Wednesday.Host: Michael Fauscette, CEO & Chief Analyst at Arion ResearchAuthor of "Building the Digital Workforce"SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.Website: https://www.disambiguationpod.com/Arion Research: https://www.arionresearch.com/LinkedIn: https://www.linkedin.com/in/mfauscette/

Jimi Gibson, VP of Brand Communication at Thrive Internet Marketing Agency, joins the show to explain why executives and subject matter experts need to build personal brands in the age of AI-driven search, and how a professional magician's framework for capturing attention translates directly into business communication strategy.Jimi shares his Magic Script framework (connectivity, curiosity, conversion) with a live card trick demonstration that breaks down the neuroscience of engagement: oxytocin for trust, dopamine for curiosity, serotonin for satisfaction. He walks through his first 90 days of building personal visibility for Thrive and shares research showing that executives who post on LinkedIn just 10 times a year see 30% more referrals and larger deal sizes. The conversation dives into how the shift from SEO to generative engine optimization (GEO) and answer engine optimization (AEO) is changing how companies get found, with 37% of searches now originating in LLM platforms and AI-driven traffic converting at 3.5 to 4 times the rate of traditional search traffic.Guest: Jimi Gibson, VP of Brand Communication, Thrive Internet Marketing AgencyTimestamps: 00:00  Intro 00:32  Welcome Jimi Gibson 01:13  From professional magician to marketing strategist 03:57  How a performer mindset shapes brand visibility 08:18  The Magic Script: connectivity, curiosity, conversion 08:29  Live card trick demonstration 15:42  The neuroscience behind the Magic Script 21:49  Why storytelling beats data dumps 23:44  Becoming the face of Thrive: the first 90 days 30:44  How personal brand drives company growth 34:45  From SEO to GEO and AEO: how AI changed search 42:46 Finding answers vs. finding a way to find answers 44:39 Activating subject matter experts as thought leaders 47:41  Book recommendation: "Story Worthy" by Matthew DixDisambiguation is an Arion Research production. New episodes weekly.Website: https://arionresearch.com Host: Michael Fauscette

The biggest AI opportunity in enterprise isn't in your sales team or your chatbot. It's buried in the back office, where inefficiencies have been hiding for decades. What happens when seed-stage startups start solving those problems with 35 people instead of 35,000?In this episode, Michael Fauscette sits down with Matt Ober, Managing Partner at Social Leverage, to discuss where the real enterprise value is hiding in AI, why go-to-market matters more than ever, and what separates the founders who break through from those who stall.TIMESTAMPS:00:00 - Introduction00:52 - Matt's background and Social Leverage's 17-year investing journey01:53 - How AI changed what matters at the seed stage04:41 - What AI capabilities are actually delivering results vs. hype06:58 - Why outbound sales automation is working again08:52 - Slash Experts and the power of verified client references in B2B12:40 - Middle and back office AI: where the biggest inefficiencies live15:06 - Voice AI in recruiting and why Ribbon AI is changing hiring17:21 - Leah AI and document intelligence for wealth management21:01 - Data moats, data pipes, and the opportunity in information services24:34 - Common mistakes AI-native founders make28:09 - Social Leverage's $85M fund and where the big bets are going32:21 - Why vertical-first beats horizontal in AI33:24 - Advice for prospective founders building in the AI era36:04 - Matt's recommendation: Patrick O'Shaughnessy's Invest Like the BestABOUT THE GUEST:Matt Ober is Managing Partner at Social Leverage, a seed-stage venture capital firm focused on fintech and vertical AI. Founded 17 years ago by Howard Lindzon (creator of StockTwits) and Tom Peterson, Social Leverage has invested across six funds, most recently closing an $85 million seed fund. Matt spent most of his career in public markets on the hedge fund side before joining Social Leverage.CONNECT WITH MATT:LinkedIn: https://www.linkedin.com/in/obermattj/Company: https://www.socialleverage.com/ABOUT DISAMBIGUATION:AI clarity for business leaders. New episodes every Wednesday.Host: Michael Fauscette, CEO & Chief Analyst at Arion ResearchAuthor of "Building the Digital Workforce"SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.Website: https://www.disambiguationpod.com/Arion Research: https://www.arionresearch.com/LinkedIn: https://www.linkedin.com/in/mfauscette/#AI #ArtificialIntelligence #Fintech #VentureCapital #EnterpriseAI #VerticalAI #BackOffice #AIStrategy #Podcast

Most cybersecurity breaches aren't caused by bad technology. They're caused by humans doing what humans are biologically wired to do: trust. Robert Siciliano explains why your biggest security vulnerability isn't in your firewall, it's in your people's wetware.In this episode, Michael Fauscette sits down with Robert Siciliano, bestselling author and cybersecurity expert, to discuss why traditional security awareness training is failing and how organizations can close the "security appreciation gap" by making cybersecurity personal.TIMESTAMPS: 00:00 - Introduction 01:04 - Robert's origin story: getting hacked in 1995 03:19 - The wetware vulnerability: what leaders miss about human security 05:06 - The human blindspot: why we're biologically wired to trust 07:32 - Why distrust is harder than trust 08:56 - The home security question that changes everything 12:13 - Security awareness vs. security appreciation 14:40 - The shift from knowing to caring 16:28 - The kitchen table effect: when security goes home with the employee 18:07 - Arms crossed to hands up: how body language reveals the shift 20:27 - "The only way to change minds is to change hearts" 21:26 - Making the case to the C-suite that all security is personal 24:39 - How AI, deepfakes, and voice cloning are reshaping the threat landscape 28:29 - The strategic human firewall: from passive targets to active detection 33:12 - Parenting, empathy, and what security training can learn from raising kids 35:22 - The 97/3 rule: good versus evil by the numbers 37:34 - Why compliance training is failing and what to do instead 47:26 - First steps for building a culture of security appreciation 51:41 - Robert's recommendation and closing thoughtsABOUT THE GUEST: Robert Siciliano is a #1 bestselling Amazon author, CEO of Safr.Me, and Head of Cyber Security Employee Training at Protect Now. With 30+ years in security, he is the architect of the Strategic Human Firewall and the CSI Protection certification, and has appeared on Good Morning America, CNN, Today Show, and Howard Stern.CONNECT WITH ROBERT: LinkedIn: https://www.linkedin.com/in/robertsiciliano Website: https://safr.me Protect Now: https://protectnowllc.comABOUT DISAMBIGUATION: AI clarity for business leaders. New episodes every Wednesday. Host: Michael Fauscette, CEO & Chief Analyst at Arion Research Author of "Building the Digital Workforce"SUBSCRIBE & follow for weekly episodes on AI strategy, agentic AI, and enterprise technology.Website: https://www.disambiguationpod.com/ Arion Research: https://www.arionresearch.com/ LinkedIn: https://www.linkedin.com/in/mfauscette/

In this episode of Disambiguation, host Michael Fauscette sits down with John Kammer, founder of Guardian [AI]ngels, to explore how AI chatbots can serve as emotional support tools for people navigating grief and loss.After losing three of his closest friends, John struggled for over a decade with substance-fueled avoidance before accidentally discovering that building an AI persona based on his late best friend unlocked a breakthrough in his own healing. That personal experience became the foundation for Guardian [AI]ngels, a structured grief support tool built on Worden's Four Tasks of Mourning and developed with licensed therapists.In this conversation, we cover:🔹 Why interactive AI dialogue goes beyond traditional journaling for processing grief 🔹 How Guardian [AI]ngels complements therapy rather than replacing it 🔹 The ethical guardrails that prevent users from falling into delusion or unhealthy attachment 🔹 Why the AI never claims to be the lost loved one and how that distinction matters 🔹 The role of transparency and trust in building responsible AI companions 🔹 How AI can serve as a bridge to deeper human connection, not a substitute for it 🔹 Where we are on the journey of using AI for emotional wellness and what comes nextWhether you're curious about AI companions, interested in mental health technology, or exploring how AI can better the human condition beyond the workplace, this episode offers a thoughtful and personal look at what's possible.📌 Recommended by our guest: Look up Bill Thornberry on LinkedIn for insights on rethinking how we approach AI.📌 For more AI and software research, visit ArionResearch.com 📌 Want to be a guest? Email [email protected]

What happens when you stop bolting AI onto existing processes and rebuild your entire company as an AI-native stack? Spanish insurtech Tuio went from industry-average 5% profit margins to 15%, with a 40% improvement in marketing conversion.In this episode of Disambiguation, I sit down with Juan Garcia, Co-founder and CEO of Tuio, to explore how his team re-engineered insurance from the ground up. We dig into:-Why vertical AI approaches deliver better results than horizontal tools in regulated industries • The "Customer DNA" concept: collecting hundreds of non-traditional data points to personalize pricing • How behavioral signals (like Apple vs. Android users, or browsing patterns) predict claims costs and fraud • The three levers driving transformation: growing more efficiently, underwriting smarter, and managing claims more effectively • Building named AI agents (Atum for marketing, Watson for claims) that suggest "next best actions" with confidence levels • Why human adjusters still make final decisions on payouts and rejections, even when AI confidence is 100% • Using MCP integrations to create always-on marketing optimization loopsJuan shares the insight that shifted Tuio's strategy: customer service is only 10% of costs, but claims and marketing are 85%. Focusing AI on better decision-making in these areas delivers 10x the impact of pure efficiency plays.Recommendation from Juan: Richard Fowler's work on behavioral economics, which is more relevant than ever as we examine how cognitive biases transfer from humans to AI systems.🔗 Learn more about Arion Research: https://arionresearch.com 📧 Want to be a guest? Email: [email protected]: 0:00 - Introduction 1:24 - Juan's background and how Tuio started 5:14 - The underserved 25-55 demographic in insurance 8:07 - Digital-first approach and profit margin improvements 11:03 - From cost efficiency to better decision-making 14:56 - Re-engineering processes as an AI-native company stack 18:37 - Atum: The AI agent transforming marketing with MCP integrations 23:31 - Customer DNA and behavioral signals in underwriting 28:12 - Watson: Hybrid workflows in claims management 35:10 - Why vertical AI beats horizontal tools 37:25 - Scaling challenges: systems vs. expertise 39:33 - Juan's recommendation: Richard Fowler on behavioral economics

Welcome to the first AI Pulse of 2026! Michael Fauscette and Tom Pringle explore the technical advances solving agentic AI challenges, privacy implications of personalized AI assistants, and the latest AI gadgets entering the market.IN THIS EPISODE:🎯 Enterprise AI Control Layers (00:03:30) • ServiceNow's positioning as the control layer for enterprise AI • The familiar cycle: single source of truth, data warehouses, and now AI governance • Why starting small beats building comprehensive data infrastructure first🧠 Solving the Context and Memory Problem (00:09:28) • MIT research on recursive language models • How massive context windows eliminate the need for separate memory systems • Why this approach is more elegant and accurate than RAG frameworks • The policy version problem and how organized context solves it🪙 Lead to Gold: Alchemy Actually Works (00:18:25) • Large Hadron Collider accidentally transmutes lead into gold • Medieval alchemists were right, just needed better tools • The catch: 29 trillionths of a gram worth 4.6 billionths of a dollar💰 OpenAI Adds Ads to Free ChatGPT (00:21:01) • Freemium friction and monetization strategies • Privacy concerns with contextual advertising in AI conversations • Google's commitment to keep Gemini ad-free (for now) • When targeted ads cross the creepy line🛡️ Teaching AI to Be Ethical (00:34:14) • Anthropic's Constitutional AI approach • Can you give a language model a constitution? • Reinforcement learning for values and ethical behavior • Why hallucinations expressed with confidence are dangerous🔐 The Privacy Trade-off (00:39:31) • Google's personal intelligence for Gemini • Giving AI access to photos, emails, and personal data • Where to draw the line: business files vs personal information • The accidental data leak risk with agentic systems💻 Claude Code for Desktop (00:47:48) • Building practical tools with AI assistance • Michael's AI readiness assessment automation project • Collaborative coding as hybrid work • When to worry about exceeding your understanding📱 The Search for the Perfect AI Gadget (00:52:19) • OpenAI's Gumdrop pen device • Voice-only, minimalist design with privacy controls • The challenge: why carry another gadget when your phone does it all? • Apple glasses rumor for 2026ABOUT THE GUESTS:Tom Pringle is Director of Pilot Research and recently announced his new role as co-founder of a purpose-led business with James Parks.KEY INSIGHTS: • Context and memory problems in agentic AI may have an elegant technical solution • Privacy trade-offs with AI assistants require careful consideration • Starting small with use cases beats waiting for perfect data infrastructure • The search continues for AI hardware that justifies carrying another deviceRESOURCES MENTIONED: • MIT recursive language models research • Anthropic Constitutional AI • ServiceNow AI platform strategy • OpenAI Gumdrop pen • Claude Code desktop appCONNECT WITH US: 🌐 Arion Research: https://arionresearch.com 📧 Guest inquiries: [email protected] 📰 Subscribe to The Digital Workforce newsletter 🔗 Take the AI Readiness Assessment: https://arionresearch.comLike, share, and subscribe to stay updated on the latest in AI strategy and enterprise transformation. New episodes every week!

When AI systems help create inventions, who owns the intellectual property? Join us for a fascinating conversation with James Gourley, idea and brand protection attorney and partner at Carstens, Allen & Gourley LLP, as we explore the complex intersection of artificial intelligence and intellectual property law.What You'll Learn:USPTO's New Direction on AI Patents:- How current USPTO leadership is shifting toward more favorable treatment of AI-related inventions- The difference between AI-generated and AI-enabled inventions, and why it matters- How patent examiners now view AI as lab equipment rather than the inventor itselfCopyright in the Age of AI:- Why AI-generated content isn't currently protected by copyright- The New York Times vs. OpenAI case and what it means for training models- Fair use considerations when AI systems learn from copyrighted materialThe Future of Innovation Protection:- Should purely machine-generated innovations receive IP protection?- The role of human ingenuity in the patenting process- How drug discovery and R&D are pushing boundaries of traditional IP frameworksPolicy Questions Ahead:- When compute costs drop, do we still need IP monopolies for machine innovations?- Training AI on AI outputs: is it still human knowledge?- The tension between free market innovation and creator protectionJames brings 20 years of IP defense experience and a practical perspective on how these policy shifts affect innovators, tech companies, and creators. Whether you're building AI systems, creating content, or just trying to understand where innovation law is headed, this conversation offers critical insights.About Our Guest:James Gourley is a partner at Carstens, Allen & Gourley LLP, a 14-attorney IP boutique specializing in patents, trademarks, copyrights, and trade secrets. He focuses primarily on defending clients accused of IP infringement.Recommended Resource:James recommends the All-In Podcast for staying current on AI developments and tech trends.---Subscribe to Disambiguation for weekly conversations with AI and automation experts helping business leaders understand how to use these tools for maximum impact.Connect with Arion Research:- Website: https://arionresearch.com- Newsletter: The Digital Workforce at digitalworkforce.work- Want to be a guest? Email: [email protected]:0:00 - Introduction2:00 - USPTO's approach to AI inventions4:24 - AI-generated vs AI-enabled inventions7:17 - Copyright lawsuits and training models17:42 - Fair use and the chemist analogy24:53 - Software patents and policy shifts33:43 - Future of IP protection for AI innovations37:04 - Training AI on AI outputs39:28 - Recommendations and closingEpisode: When Machines Create: An IP Attorney's Perspective on AI InnovationGuest: James Gourley, Partner at Carstens, Allen & Gourley LLPHost: Michael Fauscette, Founder of Arion Research

Most companies are making a critical mistake with AI: treating ChatGPT and other large language models as the end goal instead of recognizing them as features within a broader enterprise strategy. In this episode, host Michael Fauscette talks with Professor Antonio Pace from UT Dallas about the disconnect between individual AI tools and true enterprise AI transformation.What You'll Learn: • Why ChatGPT is a feature, not a complete enterprise solution • How to integrate AI into your workflows, not just individual tasks • Why "prototype paralysis" keeps companies stuck in the science fair • The energy crisis threatening AI scalability • How quantum computing could solve AI's biggest infrastructure challenges • Real-world quantum computing applications already in production • Practical steps for building an effective AI strategy in your organizationAntonio Pace brings over 30 years of industry experience and currently serves as Director of the AI and Business Analytics program at UT Dallas. He shares insights from his work consulting with global AI solutions companies and teaching quantum computing applications.Key Topics Covered:-Enterprise AI vs. Individual AI Tools (3:15)-The Training Gap in AI Adoption (8:42)-Moving Beyond Prototypes to Implementation (12:30)-AI's Energy Problem and Infrastructure Needs (28:45)-Quantum Computing: The Next Leap Forward (35:20)Practical Quantum Applications Today (42:10)About Disambiguation: Each week, we interview experts in artificial intelligence, generative AI, and business automation to help business leaders understand how to use these tools for maximum business impact.🔔 Subscribe for weekly insights on AI strategy and implementation 👍 Like this video if you found it valuable 💬 Comment with your biggest AI implementation challengeConnect With Us: • More research on AI and software: arionresearch.com • Guest inquiries: [email protected] • Host: Michael Fauscette

Welcome to Season 4 of the Disambiguation Podcast! Join your host, Michael Fauscette, as he dives into the latest developments in artificial intelligence, generative AI, and business automation. In this episode, we kick off the new year with exciting insights and updates on the rapidly evolving landscape of agentic AI.Michael discusses key news items, including the formation of the Agentic AI Foundation by the Linux Foundation, the current state of enterprise agentic AI adoption, and the implications of a recent study comparing AI agents to human collaboration. He also highlights a groundbreaking 3D chip breakthrough from Stanford that could revolutionize AI performance.Looking ahead, Michael shares a sneak peek of upcoming episodes featuring expert guests discussing topics such as AI innovation and intellectual property, hybrid workforce strategies, and the challenges of privacy in agentic AI.Don't miss out on this informative episode packed with valuable insights for business leaders and AI enthusiasts alike!Timestamps:00:00 - Introduction00:30 - Season 4 kickoff02:09 - Agentic AI Foundation announcement04:10 - Enterprise agentic AI adoption statistics09:04 - Stanford's 3D chip breakthrough10:56 - AI agents vs. human collaboration study13:22 - Upcoming episode topics18:08 - ConclusionSubscribe to stay updated on the latest in AI and business automation! If you enjoy the show, please leave us a review and share it with others.For more research on AI and other software, visit arionresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected] us next week for more exciting discussions on the Disambiguation Podcast!

Welcome to the year-end special of Disambiguation, hosted by Michael Fauscette! In this final episode of Season 3, we take a deep dive into the significant developments in artificial intelligence and generative AI throughout 2025.Join us as we explore:-The evolution of foundation models and the impact of OpenAI's GPT-5 and Google's Gemini 3 Pro.-Real-world applications of agentic AI in customer service, code generation, and back-office operations.-The challenges businesses faced, including reliability, integration, and cost considerations.-Insights into multi-agent systems and the importance of governance and trust in AI deployment.Michael shares key lessons learned from the past year, highlighting what worked, what didn’t, and what surprised him in the rapidly evolving landscape of AI. Whether you're a business leader or an AI enthusiast, this episode provides valuable insights to help you navigate the future of AI in your organization.Tune in for a comprehensive review of 2025 and get ready for what lies ahead in 2026! Don't forget to subscribe for more episodes on AI, generative AI, and business automation.

Welcome to the December edition of AI Pulse on Disambiguation! Join host Michael Fauscette and co-host Tom Pringle as they dive into the latest trends and predictions in artificial intelligence, generative AI, and business automation.In this episode, we reflect on the advancements in AI models, including Gemini 3 Pro, Claude 4.5, and OpenAI's 5.2, sharing personal experiences and insights on their capabilities. We also explore the concept of enterprise memory and its potential impact on customer experience, discussing the importance of trust and security in AI interactions.As we wrap up Season 3, Michael and Tom share their predictions for the future of AI, including the rise of agentic AI, the need for agent operations (AgentOps), and the challenges of data management and ROI. They also touch on the potential for cross-agent reputation systems and the implications of AI fatigue in the industry.Tune in for an engaging conversation filled with expert insights, predictions, and a look at the future of AI in business!Topics Covered:-Latest AI model advancements-Enterprise memory and customer experience-Predictions for AI trends in the coming year-The importance of trust and security in AI-The rise of AgentOps and cross-agent reputation systemsDon't forget to like, subscribe, and hit the notification bell for more episodes on AI and business automation!

Welcome to this week's episode of Disambiguation! Join host Michael Fauscette as he dives into the intersection of AI, creativity, and accessibility with special guest Victor Varnado, founder and CEO of Supreme Robot.In this episode, Victor shares his journey from artist and comedian to AI enthusiast and developer. He discusses his innovative writing tool, the Magic Bookifier, designed to help neurodivergent creators structure their thoughts and transform their ideas into written works. Victor also explores the importance of empathy in technology design and how his personal experiences shape his approach to building tools for thinkers on the margins.Key topics include:-The connection between comedy and AIThe role of AI in education and creativity-Accessibility in technology and the importance of backward compatibility-The future of AI and its potential to augment human creativityVictor also recommends Dr. Anastasia Lauterbach, a thought leader in the AI space, for those looking to expand their knowledge.Don't miss this insightful conversation that challenges conventional views on AI and highlights the importance of inclusivity in tech!Like, share, and subscribe to stay updated on future episodes. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected] more research on AI and other software, visit arionresearch.com.Tune in now!

Welcome to this episode of Disambiguation! Join host Michael Fauscette as he dives deep into the world of AI operations with special guest Marty Duffy, SVP of Product R&D Operations at G2.In this insightful discussion, Michael and Marty explore the evolving landscape of AI Ops and Agentic AI Ops, shedding light on what truly works in the realm of business automation. They share their experiences and insights on how organizations can effectively implement AI-driven solutions to enhance operational efficiency.Key topics include:-The concept of Agentic AI Ops and its implications for businesses-Real-world examples of operational challenges and how AI can address them-The importance of data quality and continuous monitoring in AI implementations-Strategies for fostering a culture of adoption and change management within organizations-Future trends in AI Ops and the potential for multi-agent systemsWhether you're a business leader looking to leverage AI for operational success or simply curious about the future of technology in business, this episode is packed with valuable insights and practical advice.Don't forget to like, subscribe, and hit the notification bell for more episodes on AI, business automation, and technology trends!

Welcome to the November edition of AI Pulse on the Disambiguation Podcast! Join hosts Michael Fauscette and Tom Pringle as they dive into the latest trends and news in artificial intelligence, generative AI, and business automation.In this episode, they discuss:-The resurgence of organizational intelligence and its parallels to past tech trends like enterprise search.-The importance of data quality and governance in AI implementations.-Recent earnings reports, including a surprising 67% growth from major players in the AI space.-The implications of new acquisitions, such as Salesforce's purchase of Informatica, and what it means for the future of data management.-The evolving landscape of collaboration tools and how they are becoming the operating systems for businesses.-Exciting new releases, including ChatGPT 5.1 and Gemini 3, and their potential impact on productivity.-A cool tech innovation segment featuring a fully electric, self-sustaining caravan that promises to revolutionize camping.Tune in for insightful discussions, expert opinions, and a look at the future of AI in business. Don't forget to like, share, and subscribe for more episodes!For more research on AI and other software, visit arionresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected] us next week for more insights on the Disambiguation Podcast!

Welcome to this week's episode of Disambiguation! Join host Michael Fauscette as he dives into the fascinating world of AI and publishing with Julie Trelstad, Head of US Publishing at AMLET AI.In this episode titled "Books, Bots, and the New Rights Economy: How AI is Rewriting Publishing," Michael and Julie discuss the transformative impact of AI on the publishing industry, exploring how authors and publishers can navigate this new landscape. With over 35 years of experience in book publishing, Julie shares her insights on the evolution of the industry, the rise of indie authors, and the importance of protecting intellectual property in the age of AI.Key topics include:-The role of ISCC (International Standard Content Code) in protecting authors' rights-The differences between AI-generated content and AI-assisted human authorship-Strategies for indie authors to thrive in a competitive market-The future of business models for authors in an AI-saturated worldWhether you're an author, publisher, or simply interested in the intersection of technology and literature, this episode is packed with valuable insights and practical advice.Don't forget to like, share, and subscribe to the show! If you enjoy the episode, please leave us a review to help others find us.For more research on AI and other software, check out arionresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected] us next week for more enlightening discussions on the Disambiguation Podcast!

Welcome to this week's episode of Disambiguation! Join host Michael Fauscette as he dives into the transformative trends shaping customer experience.In this episode, we explore the recently published Customer Experience Trends for 2026 report, highlighting the evolution of AI from simple tools to autonomous agents that enhance customer interactions. Discover our three-tier framework for understanding these trends:Tier 1: Inevitable trends already gaining momentum, such as customer memory systems that eliminate the frustration of repeating information.Tier 2: Emerging trends that promise to transform customer journeys through real-time AI-driven optimizations.Tier 3: Future possibilities that may redefine brand interactions, including emotionally adaptive AI agents and agent-to-agent customer service networks.Michael also discusses the implications of these trends for businesses, including the need for orchestration, governance, and a hybrid workforce model that combines human empathy with AI efficiency.Don't miss the insightful overview video generated from the report, and stay tuned as we break down six key trends that will have a profound impact on customer experience in the coming years.Links:Full trends report: https://www.arionresearch.com/research-reports/customer-experience-trends-for-2026Book: "Building a Digital Workforce: Strategies for Agentic AI success"If you enjoy the episode, please like, share, and subscribe! Leave us a review to help others find the show.Join us next week for more insights on AI and business automation!

Welcome to this week's episode of Disambiguation! Join host Michael Fauscette as he dives into the latest insights from our recently published Agentic AI Trends and Predictions Report for 2026.In this episode, we explore the evolution of enterprises from experimenting with generative AI to operationalizing intelligent agents across digital workflows. Discover what agentic AI is and how it differs from traditional AI tools.Key topics include:-The concept of agentic AI as an autonomous digital co-worker-The challenges of agent sprawl and the need for orchestration platforms-The shift towards workflow-centric enterprise architecture-Emerging trends like agent factories and no-code builders-Recommendations for organizations to prepare for the future of workWhether you're a business leader, an AI enthusiast, or just curious about the future of work, this episode is packed with valuable insights and practical advice.Don't forget to like, share, and subscribe for more episodes! For more research on AI and business automation, visit arionresearch.com.AI Trends Report: https://www.arionresearch.com/research-reports/agentic-ai-trends-2026Timestamps:00:00 Introduction00:32 Overview of Agentic AI03:40 Video Explanation of Agentic AI05:16 Tier One Trends07:54 Tier Two Trends09:19 Tier Three Trends10:40 Key Recommendations19:24 Risks and Challenges25:13 ConclusionIf you're an expert in AI, generative AI, or business automation, reach out to us at [email protected] us next week for more insights on the evolving landscape of AI!

Welcome to this week's episode of Disambiguation! Join host Michael Fauscette as he dives into the world of artificial intelligence, generative AI, and business automation with expert Anuj Shah, founder and CEO of Averas AI.In this episode titled "When AI Gives the Wrong Answer: Optimizing the Customer Experience," Anuj shares his extensive experience at the intersection of customer service and emerging technology, particularly in highly regulated environments like financial services. He discusses the critical importance of data quality and knowledge management in AI implementations, especially when deploying autonomous agents.Key topics include:-The common pitfalls organizations face with knowledge content infrastructure-The significance of explainability and knowledge quality in AI systems-Real-world examples of how poor knowledge management can undermine AI effectiveness-Strategies for diagnosing and improving content knowledge management systems-The evolving challenges of knowledge management in the age of generative AIWhether you're a business leader looking to leverage AI for better customer experiences or simply curious about the future of AI technology, this episode is packed with valuable insights and practical advice.Don't forget to like, share, and subscribe for more episodes! If you enjoy the show, please leave us a review to help others find us. For more research on AI and other software, visit arionresearch.com.Join us next week for more insights on AI and business automation!

Welcome to the October edition of AI Pulse on the Disambiguation Podcast! Join hosts Michael Fauscette and Tom Pringle as they dive into the latest trends and announcements in artificial intelligence, generative AI, and business automation.In this episode, we discuss:Highlights from major conferences like Dreamforce and Oracle AI World, including OpenAI's new apps platform and its implications for enterprise applications.The evolving landscape of AI tools and how companies are integrating chat interfaces into their workflows.Insights into the competitive dynamics between major players like OpenAI, Salesforce, and Oracle.The impact of AI on startup funding and employment trends, revealing how startups are raising more money with fewer employees.An exciting new tech innovation, Manet, which enables distributed mesh networking for seamless communication across various protocols.Whether you're a business leader, an AI enthusiast, or just curious about the future of technology, this episode is packed with valuable insights and discussions.Don't forget to like, share, and subscribe to the Disambiguation Podcast for more episodes! If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected] more research on AI and other software, visit arionresearch.com.Tune in now and stay ahead in the world of AI!

In this episode of the Disambiguation Podcast, host Michael Fauscette dives into the critical intersection of U.S. immigration policy, tech innovation, and the future of American leadership in artificial intelligence. As the AI sector grapples with a historic talent shortage, recent changes to the H-1B visa program raise significant concerns for startups and smaller tech firms.Join us as we explore the implications of the new immigration policies, including the hefty $100,000 fee for H-1B applications and the restrictive selection model that could hinder the growth of AI innovation. Hear insights from industry experts and founders who share their experiences navigating these challenges and the potential ripple effects on the U.S. tech ecosystem.We also discuss alternative immigration pathways and global models that could inspire a more startup-friendly approach in the U.S. This episode is essential for business leaders, tech enthusiasts, and anyone interested in the future of innovation in America.Don't forget to like, share, and subscribe for more insights on AI, generative AI, and business automation!Timestamps:00:00 - Introduction00:32 - Overview of the AI talent shortage02:30 - Changes to the H-1B visa program06:10 - Impact on startups and innovation10:00 - Global competition for talent12:00 - Alternative immigration policies18:00 - The future of U.S. tech leadershipFor more research on AI and other software, visit arionresearch.com. If you're an expert in AI, generative AI, or business automation, email us at [email protected] us next week for more discussions on the evolving landscape of technology!

Welcome to the September edition of AI Pulse on Disambiguation! Join host Michael Fauscette and co-host Tom Pringle as they dive into the latest developments in artificial intelligence, generative AI, and business automation.In this episode, we celebrate our one-year anniversary and explore a range of intriguing topics, including:The challenges of agent-to-agent collaboration in AI and the implications of new protocols like Google's AP2 for agent payments.The complexities of AI's decision-making processes and the potential for agents to "lie" or misrepresent task completion.The exciting concept of world models in AI, which could revolutionize how machines learn and simulate real-world scenarios.The current landscape of AI startups, their funding, and the importance of vertical specialization in driving business success.The impact of AI on job markets, particularly in consulting and tech, and the responsibility to retrain displaced workers.Innovative educational tools like MathGPT that promote critical thinking and personalized learning paths for students.Tune in for an insightful discussion that balances skepticism with optimism about the future of AI and its role in our lives. Don't forget to like, subscribe, and hit the notification bell for more episodes!

Welcome to this week's episode of Disambiguation! Join host Michael Fauscette as he dives into the transformative world of Agentic AI and its impact on sales strategies. In this episode, Michael replays a lively discussion from his co-hosted show, In the Hot Seat, featuring Pete Smith, the founder and CEO of SpotLogic.Together, they explore how AI can enhance the sales process, moving beyond traditional methods to create a more effective and engaging experience for both salespeople and customers. Michael shares insights from his upcoming book, Building a Digital Workforce: Strategies for Agentic AI Success, which will be released on September 15th.Key topics include:-The evolution of sales strategies in the age of AI-The importance of understanding customer needs-How AI can assist in research, deal risk assessment, and real-time insights-The shift from a linear sales process to a more dynamic, customer-focused approachDon't miss this insightful conversation that highlights the future of sales and the role of AI in creating a digital workforce.Pre-order Michael's book: yourdigitalworkforce.comIf you enjoy the episode, please like, share, and subscribe to our channel for more discussions on AI, business automation, and the future of work!

Welcome to this week's episode of Disambiguation! Join host Michael Fauscette as he sits down with Toni Keskinen, co-founder, CPO, and chairman of 180Ops, to explore the transformative power of AI in B2B sales.In this episode titled "From Data Chaos to Revenue Clarity: The AI Agent Revolution in B2B Sales," we dive into the critical role of data in enabling effective sales strategies. Toni shares his extensive experience in turning data into actionable insights across various industries, emphasizing the importance of data quality and readiness for AI-enabled sales operations.Key topics include:-The difference between having data and having useful data-The shift from top-down to bottom-up sales strategies-The significance of understanding customer needs and behaviors--How to consolidate and clean data for better decision-making-The role of AI agents in enhancing data preparation and analysisWhether you're a business leader looking to leverage AI for sales or simply interested in the future of B2B sales strategies, this episode is packed with valuable insights and practical advice.Don't forget to like, share, and subscribe for more episodes on AI, generative AI, and business automation!For more research on AI and other software, visit arionresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected] in now and discover how to turn data chaos into revenue clarity!

Welcome to this week's episode of the Disambiguation Podcast! Join host Michael Fauscette as he dives into the fascinating world of AI security with the founders of Silmaril.dev, Aum Upadhyay and Eduardo Velasco. In this episode titled "Red Teaming AI: Catching Vulnerabilities Before Hackers Do," we explore the critical intersection of artificial intelligence and cybersecurity.Episode Highlights:-Discover the background of Aum and Eduardo and their journey from Amazon to founding Silmaril.dev.-Learn about the unique challenges posed by generative AI and the evolving attack surfaces that come with it.-Understand how traditional security measures are becoming outdated and why a new approach is necessary.-Hear about real-world vulnerabilities found in well-known AI systems and the patterns emerging in the industry.-Explore the role of autonomous red teaming agents and how they enhance security testing.-Gain insights into the importance of building security by design and fostering a culture of proactive security awareness.Whether you're a business leader, a tech enthusiast, or simply curious about the future of AI and security, this episode is packed with valuable insights and practical advice.Don't forget to like, share, and subscribe for more episodes on AI, generative AI, and business automation!Links:Recording of zero day exploits we talked about in the podcast: https://youtu.be/SwWw3Zw_MN8Check out Silmaril.dev for more information on their innovative security solutions.For more research on AI and software, visit arionresearch.com.Join us next week for another exciting episode of Disambiguation!

Welcome to the August edition of AI Pulse on the Disambiguation Podcast! Join your hosts, Michael Fauscette and Tom Pringle, as they dive into the latest developments in artificial intelligence, generative AI, and business automation.In this episode, we discuss the recent launch of OpenAI's GPT-5, exploring its speed and performance compared to previous versions. We also tackle the ongoing conversation around artificial general intelligence (AGI) and the implications of AI on human relationships and decision-making.Additionally, we examine a fascinating MIT Technology Review article about training LLMs to avoid harmful behaviors and the challenges of ensuring AI systems are trustworthy. The episode also highlights the environmental impact of AI and how generative AI is being used to innovate battery materials for a more sustainable future.As we navigate the complexities of AI talent shortages and project failures, we reflect on the importance of aligning expectations with capabilities in AI implementations.Don't miss out on our discussion about the end of an era with AOL's dial-up internet service and our exciting tech innovation of the month—a futuristic flying vehicle!Tune in for insights, expert opinions, and a lively conversation that will help business leaders understand how to leverage AI for maximum impact.Remember to like, share, and subscribe! If you enjoy the show, please leave us a review to help others find us. For more research on AI and other software, check out arionresearch.com. If you're an expert in AI, generative AI, or business automation, email your information to [email protected] us next week for more insights on the Disambiguation Podcast!

Welcome to the 100th episode of the Disambiguation Podcast! 🎉 In this special episode, host Michael Fauscette sits down with Richard Abi Chahla, founder and product manager at Purple Brains, to explore the exciting world of building startups at AI speed.Join us as we dive into how artificial intelligence is revolutionizing the product development process, from initial market research to creating a Minimum Viable Product (MVP) in record time. Richard shares his insights on leveraging AI tools to accelerate product management, enhance user experience, and achieve product-market fit faster than ever before.In this episode, you will learn:-The traditional product development process and how AI is changing the game.-Effective AI tools for market research, prototyping, and development.-How to validate business ideas quickly and efficiently using AI.-The importance of continuous analysis and feedback in maintaining product-market fit.Whether you're a startup founder, product manager, or simply interested in the intersection of AI and business, this episode is packed with valuable insights and practical tips to help you navigate the fast-paced world of startups.Don't forget to like, share, and subscribe to the Disambiguation Podcast for more expert insights on AI, generative AI, and business automation!Guest: Richard Abi Chahla, Founder and Product Manager at Purple BrainsHost: Michael FauscetteFor more research on AI and other software, visit arionresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected] in next week for more exciting discussions!

Welcome to this week's episode of Disambiguation! Join host Michael Fauscette as he dives deep into the world of artificial intelligence, generative AI, and business automation. This week, we're thrilled to have Ramprakash Ramamoorthy, Head of AI at Zoho, back on the show to discuss the company's latest innovations, including their newly launched Zia large language models.In this episode, we explore:The rationale behind Zoho's decision to build their own language model instead of relying on third-party providers like OpenAI or Google.The importance of data privacy and how Zoho ensures customer data remains secure within their ecosystem.Insights into the challenges faced during the development and training of their AI models, including hardware optimization and data management.The potential of Zoho's Agent Studio and how it can enhance productivity in various business processes.Future plans for expanding their language model family and the introduction of specialized agents for different industries.Whether you're a business leader looking to leverage AI for greater impact or simply curious about the latest advancements in technology, this episode is packed with valuable insights!Don't forget to like, share, and subscribe to the channel for more episodes. If you enjoy the show, please leave us a review to help others find us!For more research on AI and other software, visit arionresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected] in next week for more exciting discussions on Disambiguation!

Welcome to this week's episode of Disambiguation! Join host Michael Fauscette as he dives into the world of artificial intelligence, generative AI, and business automation with special guest Kristy Tupper, Head of Product at Momba AI.In this episode, we explore how Momba AI is empowering project delivery teams through innovative agentic applications. Kristy shares insights from her journey as a business analyst and product manager, discussing the evolution of Momba's focus on specialized AI agents that streamline business analysis tasks.Discover how these autonomous agents are transforming the roles of business analysts and developers, enabling them to focus on creative problem-solving rather than mundane tasks. We also discuss the future of software development methodologies and the importance of collaboration between humans and AI.Tune in to learn about:-The role of AI in enhancing project delivery-How Momba AI is leveraging agentic applications-The impact of AI on business analysis and software development-Future trends in AI and the importance of adaptability in businessDon't forget to like, share, and subscribe for more insights on AI and business automation! If you enjoy the show, please leave us a review to help others find us.For more research on AI and other software, visit arionresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected] us next week for another exciting episode of Disambiguation!

Welcome to the July edition of AI Pulse on Disambiguation! Join host Michael Fauscette and co-host Tom Pringle as they dive into the latest news and developments in artificial intelligence, generative AI, and business automation.In this episode, they discuss:-The recent launch of Perplexity's new browser and its implications for agentic AI.-The ongoing debate between point solutions versus integrated suites in AI tools.-A joint safety warning from researchers at OpenAI, Anthropic, Meta, and Google regarding the importance of transparency in AI models.-The rise of specialized AI solutions in the financial services sector.-The talent war in tech, highlighted by recent acquisition deals involving startups.-The impact of AI on education and the necessity of preparing the next generation of workers.-Exciting innovations like Xnote.ai, an AI-enabled pen that converts handwriting to text.Tune in for insightful conversations and expert opinions on how AI is shaping the future of business and technology! Don't forget to like, subscribe, and hit the notification bell for more episodes!

In this episode of the Disambiguation podcast, host Michael Fauscette sits down with Michael Peter, Principal Architect at Google Cloud, to explore the evolving landscape of AI strategy for businesses. They discuss the significant shifts in how organizations approach AI, moving from experimental projects to implementing effective, outcome-focused strategies that drive competitive advantage.Key topics include:-The importance of crafting a comprehensive AI strategy that aligns with business goals.-Architectural decisions and infrastructure considerations for transitioning from prototypes to production.-The role of data quality, access, and real-time data in successful AI implementations.-How to prepare for the future workforce with agentic and autonomous agents while ensuring security and privacy.-Strategies for balancing cost with value in AI initiatives.Join us for insights on how to leverage AI for maximum business impact and the architectural patterns that can help organizations stay ahead in this rapidly changing environment.Don't forget to like, share, and subscribe for more insights on AI, generative AI, and business automation!For more research on AI and other software, visit arionresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected] in next week for more enlightening discussions on the Disambiguation podcast!

Welcome to this week's episode of Disambiguation! Join host Michael Fauscette as he takes a unique approach to exploring the future of AI. In this episode, we interview Aurora, an AI chatbot from 2030, powered by Claude Sonnet 4.Discover how AI has evolved over the years, as Aurora reflects on the primitive aspects of today's AI systems, the limitations we faced, and the breakthroughs that changed the trajectory of AI research. From the integration of AI systems to the emergence of new job roles, this conversation delves into the profound impact AI has had on business and society.Key topics include:-The fragmentation of AI tools in 2025-The evolution of AI hallucinations and accuracy-Major players in the AI industry and their survival into 2030-The concept of artificial general intelligence (AGI)-The relationship between AI and robotics-The future of human-AI collaboration and job evolutionMichael also shares insights on how businesses and individuals can prepare for the AI-driven future, emphasizing the importance of integrating AI into core processes and developing uniquely human skills.Don't miss this thought-provoking discussion that offers a glimpse into the future of AI and its implications for humanity!Subscribe to our channel for more insights on AI, generative AI, and business automation. If you enjoy the episode, please like and share it with others!For more research on AI and other software, visit arionresearch.com.Join us next week for another exciting episode of Disambiguation!

Welcome to the June edition of AI Pulse on the Disambiguation Podcast! Join host Michael Fauscette and co-host Tom Pringle as they dive into the latest trends and news in artificial intelligence, generative AI, and business automation.In this episode, we explore:-The current state of funding in AI startups, including record-breaking rounds and the implications for the industry.-Insights from a recent survey revealing that nearly 90% of executives are involved with agentic AI in some capacity.-MIT's groundbreaking research on self-adapting language models and the potential risks of AI systems that can rewrite their own code.-The fascinating concept of the Hawthorne effect in LLMs and how it impacts their behavior when observed.-A discussion on the implications of quantum computing for machine learning and the potential for black box scenarios.-Exciting news about innovative companies like SpinLaunch, which is revolutionizing satellite deployment with a catapult system.Plus, we introduce a new segment where we share the coolest tech we discovered this month!Don't forget to like, share, and subscribe to stay updated on the latest in AI and business automation. If you're an expert in these fields, reach out to us at [email protected] in for an engaging conversation that balances excitement and caution about the future of AI!

Welcome to this week's episode of Disambiguation! Join host Michael Fauscette as he dives into one of the hottest topics in the world of artificial intelligence: agentic AI.In this episode, Michael explores how agentic AI is fundamentally changing the way organizations operate, moving beyond traditional automation to create digital workers that collaborate with human employees. He shares insights from a recent survey of over 400 U.S.-based business executives, revealing surprising data about the current state of agentic AI adoption and its strategic implications for businesses.Key topics include:-The difference between automation and augmentation-The surprising level of agentic AI adoption in organizations-Challenges companies face in implementing agentic AI-Insights into where organizations are deploying agentic AI first-The upcoming release of Michael's new book, "Building the Digital Workforce: Strategies for Agentic AI Success"Whether you're a business leader looking to understand the competitive landscape or simply curious about the future of AI, this episode is packed with valuable insights and practical frameworks to help you navigate the transformation.Don't forget to like, share, and subscribe for more episodes! For more research on AI and business automation, visit arionresearch.com.For more information about the forthcoming book: www.yourdigitalworkforce.comTimestamps:00:00 Introduction00:33 Overview of Agentic AI02:12 Survey Insights10:18 Implementation Challenges20:10 Use Cases for Agentic AI30:09 Conclusion and Book AnnouncementJoin us next week for more discussions on AI and business automation!

In this episode of the Disambiguation Podcast, host Michael Fauscette sits down with analyst relations expert Michael Ellis to explore the transformative impact of artificial intelligence on analyst relations (AR). They discuss the role of AR professionals, the importance of building relationships with industry analysts, and how AI tools are reshaping workflows in the field.Michael Ellis shares his extensive experience in AR, detailing how AI is being integrated into research, outreach, and strategy. The conversation diggs into the myths surrounding analyst relations, the value of two-way communication, and the evolving landscape of enterprise buying decisions influenced by AI.Key topics include:-The fundamentals of analyst relations and its benefits for companies-How AI is changing the way AR teams operate-The importance of maintaining human relationships in an increasingly automated world-Practical advice for AR professionals on leveraging AI tools effectivelyJoin us for an insightful discussion that highlights the future of analyst relations in the age of AI. Don't forget to like, share, and subscribe for more episodes on AI, generative AI, and business automation!Follow us for more insights:Website: arionresearch.comEmail: [email protected] Thought Leaders:Ethan Mollick - Wharton Professor and AI expertMartin Casado - Partner at Andreessen HorowitzTune in now and discover how to navigate the evolving landscape of analyst relations!

In this episode of the Disambiguation Podcast, host Michael Fauscette sits down with Ross Sonnabend, Chief Product Officer and SVP of Customer Success at Verusen. They dive deep into the world of industrial supply chains, focusing on Maintenance, Repair, and Operations (MRO) and the significant challenges it faces.Ross shares insights on why MRO is considered a trillion-dollar problem and discusses the factors driving its growth, including aging infrastructure and supply chain volatility exacerbated by the COVID-19 pandemic. The conversation explores the role of AI in transforming MRO practices, highlighting Verusen's purpose-built AI solutions that streamline operations and enhance efficiency.Key topics include:-The importance of a material knowledge graph in MRO-The concept of understandable AI and its impact on decision-making-Real-world customer success stories demonstrating significant cost savings and improved uptime-The future of AI in MRO, including the progression towards autonomy and the role of human oversightJoin us for an enlightening discussion that uncovers how AI can revolutionize the industrial supply chain landscape. Don't forget to like, share, and subscribe for more insights on AI and business automation!Timestamps:00:00 - Introduction00:11 - Overview of MRO and its significance00:32 - Ross Sonnabend's background and role at Verusen02:12 - The trillion-dollar problem of MRO05:15 - The impact of AI on MRO10:19 - Verusen's material knowledge graph12:11 - Explainable vs. understandable AI15:10 - Customer success story20:13 - Network sharing and its benefits25:46 - The future of AI in MRO30:58 - Building trust in AI systems35:05 - Recommendations for further learningFor more research on AI and other software, visit arionresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected].

Welcome to a special edition of AI Pulse on the Disambiguation Podcast! Join host Michael Fauscette and co-host Tom Pringle as they dive into the latest developments in artificial intelligence, generative AI, and business automation.In this episode, we discuss:-The whirlwind of AI news from the past week, including OpenAI's significant investment in hardware and the implications of AI-specific devices.-The intriguing case of Anthropic's Claude 4 model, which exhibited unexpected behavior in a test environment, raising questions about AI's desire for survival.-Google's recent announcements at I/O, including the shift to AI-driven search and the integration of ads in AI responses.-The advancements in video generation technology and the potential for AI to revolutionize content creation.Tune in for a lively discussion filled with insights, humor, and a touch of philosophical pondering about the future of AI. Don't forget to like, share, and subscribe for more episodes!Links:For more research on AI and other software, visit arionresearch.com.If you're an expert in AI, generative AI, or business automation, email us at [email protected] us next week for more insights on the evolving world of AI!

Welcome to the May edition of AI Pulse on Disambiguation! Join host Michael Fauscette and co-host Tom Pringle as they dive into the latest developments in artificial intelligence, generative AI, and business automation.In this episode, they discuss the implications of Visa's new Intelligent Commerce Platform and the challenges of trusting AI chatbots with sensitive information like credit card details. They explore the evolving landscape of agentic AI, the importance of guardrails, and the potential risks associated with automation.The conversation also touches on the recent findings regarding AI hallucinations, the impact of short versus long prompts, and the future of content creation in an AI-driven world. With insights on decentralized AI and the recent shift of OpenAI to a public benefit corporation, this episode is packed with valuable information for business leaders and tech enthusiasts alike.Tune in to understand how these advancements can create significant business impact and what the future holds for AI technology!Topics Covered:-Visa's Intelligent Commerce Platform-Trusting AI with financial transactions-The evolution of agentic AI-AI hallucinations and their implications-The future of content creation and SEO-Decentralized AI and its potential-OpenAI's transition to a public benefit corporationDon't forget to like, subscribe, and hit the notification bell for more insights on AI and business automation!

Welcome to this special edition of the Disambiguation Podcast, where host Michael Fauscette dives into the fascinating world of generative AI with a unique guest—an AI chatbot named Jaz, powered by Anthropic's Claude 3.7 Sonnet model.In this episode, we explore the nature of generative intelligence, creativity without consciousness, and the implications of interacting with AI that mimics human conversation. Michael poses audience questions collected over the past few months, leading to insightful discussions about how AI understands language, its strengths and limitations, and the surprising ways people have utilized AI for emotional support and creative collaboration.Join us as we uncover the evolving landscape of AI technology, the potential for human-AI collaboration, and the future of work in an AI-driven world. Whether you're an AI expert or just curious about the technology, this episode offers valuable insights into how generative AI can augment human capabilities.Don't forget to like, share, and subscribe for more episodes! If you enjoy the show, please leave us a review to help others find us. For more research on AI and business automation, visit arionresearch.com.

Welcome to this week's episode of the Disambiguation Podcast! Join host Michael Fauscette as he dives into the transformative world of autonomous AI and its impact on customer journey mapping.In this episode, we explore insights from the latest report titled "Dynamic Pathways, Autonomous AI and the Evolution of Customer Journey Mapping." Discover how businesses are moving away from static customer journey maps to dynamic, real-time experiences that truly understand and anticipate customer needs.Key topics include:-The shift from traditional customer journey maps to fluid, personalized experiences.-How autonomous AI is revolutionizing customer interactions through real-time data analysis.-The role of emotional intelligence in AI and its ability to respond to customer feelings.-Examples of anticipatory customer service and how companies are proactively addressing potential issues.-The importance of seamless omnichannel experiences and AI-human collaboration.Whether you're a business leader, an AI enthusiast, or just curious about the future of customer engagement, this episode is packed with valuable insights and practical examples.Don't forget to like, share, and subscribe for more discussions on AI, generative AI, and business automation!For more research on AI and other software, visit arionresearch.com. If you're an expert in AI, generative AI, or business automation, reach out to us at [email protected] us next week for more enlightening conversations!