The Analytic Mind

AI conversations are stuck on agents, but the real shift is happening somewhere else.In this episode, we break down Agentic Software vs Agents and explain why the future isn’t about building hundreds of fragile AI agents, but about creating purpose-built, agentic software systems that actually do work.We explore how AI is evolving into an operating system, why workflow optimization matters more than raw model intelligence, and how layering models intelligently is replacing the obsession with “the best model.”We also discuss the rise of niche, domain-focused AI systems, why stickiness beats benchmarks, and how individuals and small teams can now build software that replaces entire roles, services, and workflows.This conversation is for builders, consultants, operators, and anyone trying to understand where real leverage in AI is emerging, beyond hype, tools, and demos.If you’re thinking about the future of work, software, and AI-enabled businesses, this episode will reframe how you look at all of it.

We’re entering a new phase of work, creativity, and experiences, and it’s moving much faster than most people realize.In this episode, we explore why experience-based events are selling out globally, how technology is amplifying demand, and what this shift tells us about the future of work. From endurance races to immersive sports broadcasts, data and real-time analytics are changing how experiences are created and shared.The conversation then moves into a deeper transformation: how AI is fundamentally reshaping knowledge work. We discuss why traditional tools like Excel and PowerPoint are rapidly losing relevance, how AI-generated analysis and presentations change productivity economics, and why full-code, AI-driven workflows are becoming the new standard.Finally, we break down what this means for data analysts, developers, and knowledge workers. Jobs aren’t disappearing, but roles are changing fast. The future belongs to those who can frame problems, guide AI systems, and build reusable workflows instead of manual outputs.If you work with data, analytics, or technology, this episode offers a clear look at what’s coming next and how to adapt before the shift becomes unavoidable.

AI tools are getting faster, cheaper, and more capable, and also more fragile and overloaded. In this conversation, we talk honestly about what it’s like to build and work on top of Gemini, Opus, Claude, Cursor, and custom skills while everything around us accelerates.We cover:Depending on the AI tools that keep timing out or routing unpredictablyA wild story of Gemini 3 decoding a 5,000-line, non-standard XML systemWhy “code is abundant,” and experimentation is now incredibly cheapData centers, Azure credits, and big tech behaving like energy companiesRobots, drones, micro-factories, and hyper-personalized physical servicesNew business opportunities in a world where platforms can copy you fastThe rise of the experience economy and the craving for real-world connectionEducation, orchestration, and becoming a full-stack human + AI builderFollow the show for more real conversations at the frontier of AI, data, and modern work, and share this episode with someone who’s trying to figure out what to build next.

AI hasn’t slowed down. It’s quietly hit another turning point.In this episode, we talk about how Google, OpenAI, and Microsoft are no longer just racing on models. They’re reshaping business models, workflows, and the tools we use every day. Gemini 3 is raising the bar, Microsoft is finally moving like an AI-first company, and OpenAI is facing serious pressure instead of cruising on first-mover advantage.But the real story is what this means for how work gets done:skills instead of brittle tools, agents instead of manual tasks, code generation instead of boilerplate, and voice as a serious interface for real products.If you’re a data professional, developer, or business owner, this conversation is about where the leverage is shifting and how to position yourself for what’s coming next.In this episode, we cover:Why Gemini 3 changes the Google vs OpenAI vs Microsoft dynamicHow big tech is moving from “AI models” to the services and compute businessClaude Skills vs MCP and why simpler skill-based workflows are winningThe future of dashboards, Power BI, and traditional reporting toolsVibe coding, code generation, and building apps faster than everVoice interfaces and new business models built on AI voice and agentsKey idea:We’re entering a phase where AI is not just more powerful. It’s changing the structure of work, the tools we use, and the opportunities available to builders and business owners.👉 Explore more training, apps, and resources:enterprisedna.co

Most people still focus on model comparisons, but the real shift is happening in the systems built around them.This conversation breaks down why systems, workflows, and skills now matter more than the model you choose, and how fast “good enough” models paired with the right structure can outperform raw power.We explore the rise of voice-first development, real-time agent workflows, Claude skills, dynamic context loading, and how modular tools are becoming a new kind of micro-software.You’ll also hear why domain expertise is still a major advantage, how content libraries can turn into personalized learning systems, and why small teams are now capable of outbuilding giants by combining smart systems with modern tools.Perfect for data professionals, builders, and business owners looking for real leverage in this new era of work.

Skills are reshaping how work gets done.Instead of re-prompting chatbots and hoping for a good result, skills let you build repeatable workflows that run the same way every time. They can call tools, run scripts, generate reports, and handle tasks that used to require teams.In this conversation, we break down what skills really are, why they matter, and how they turn chatbots into reliable digital workers. We explore how modular systems create consistency, why simple interfaces outperform complex software, and how small teams can now operate with enterprise-level leverage.What you’ll learn:How modular skills replace constant re-promptingHow progressive disclosure keeps context cleanWhy system design is becoming more important than tool choiceWhere small teams can gain massive leverageThe future of running workflows that manage themselvesThis episode is for builders, operators, and business owners who want to scale smarter in the new world of automation.Explore more at enterprisedna.co

The job market has changed, and the old playbook no longer works. Resumes alone don’t cut it anymore. What sets you apart is how you showcase your skills: through projects, apps, videos, or even podcasts.In this episode, we unpack why traditional roles are shifting, how busywork is being automated, and why the real opportunities now lie in strategy, systems, and domain expertise. You’ll learn how to stand out fast, package your knowledge into reusable skills, and pivot your career without starting over.What you’ll discover:Why showcase-first portfolios beat resumesThe 2% career move that creates real edgeHow to future-proof your role with domain expertiseWhy self-serve analytics finally works in 2025The next big shift with world models and what it means for careersThis is the best time to pivot, grow, and get ahead. Don’t wait, listen now and start building the career advantage that others will chase later.

The acceleration is real. Big Tech isn’t untouchable anymore.OpenAI and Anthropic are rolling out features faster than ever, outpacing Google, Microsoft, and Apple. From the launch of the Atlas browser to the rise of Sora as a Netflix alternative, the game is shifting. And for the first time, small teams and solo builders can outbuild industry giants.In this episode, we cover:Why code is leveraged and how vibe coding with Claude Code + MCP changes everythingThe data center explosion and what it means for jobs, costs, and innovationHow we’re moving from “AI slop” to AI-crafted content people actually trustThe rise of Intelligence Ops, the new career role for the AI-first eraDon’t just watch this shift. Be part of it. Listen now and see how you can leverage modern tools, agents, and new platforms to outpace the competition.

The pace of AI is breathtaking. New tools, models, and features arrive almost daily. But with every leap forward comes a mix of excitement and exhaustion.In this episode, we explore why AI acceleration feels both inspiring and overwhelming. From cultural shifts inside teams, to agents becoming digital co-workers, to the rising demand for power and compute, we discuss what it takes to keep up without burning out. Learn how voice is becoming the new interface, why validation and oversight still matter, and where the biggest opportunities are hiding in the noise.

Modern tools can now plan, build, test, and iterate while you supervise. The real unlock isn’t just speed, it’s defining stop conditions, adding observability, and validating every step.What you’ll learn:How an M-code MCP server runs a “genetic loop” to transform raw data into target shapes automaticallyPractical validation tactics: line-by-line checks, artifact comparison, and anti-hallucination guardrailsUsing Claude Code, Playwright/Puppeteer/Chrome DevTools MCP for vision-based UI verificationA real example: running a 15-Minute Cities spatial analysis in hours instead of weeksWhy OpenAI’s MCP-integrated hosting and agent specs change app delivery and stickinessSecurity and enterprise patterns for MCP gateways and containerized serversA workflow you can copy: plan first, parallelize tasks, supervise mid-run, validate at the endWhy it matters:Per-seat SaaS pricing, consulting models, and “build vs buy” are all getting rethought as replication costs drop and hosting moves in-platform. The edge now is knowing what to ask for, when it’s done, and how to prove it.If this helped, subscribe for more hands-on modern tools workflows and agent orchestration tips. Want structured learning and tools for data pros becoming app builders? Check out the Enterprise DNA ecosystem.

The way we work is being rewritten. More people are moving into fractional careers, AI is amplifying individual skills, and every business is on the path to building its own “org brain.”In this episode, we explore how these shifts are creating the biggest reorganization of work in our lifetimes. From agent orchestration and conversational analytics to dynamic stacks and MCP-powered workflows, we break down what’s changing and where the new opportunities lie.What you’ll learn:Why fractional work and portfolio careers are growing fastHow AI turns specialists into orchestrators across multiple projectsThe rise of organizational brains built on MCPWhy intuition now matters more than perfectionHow conversational analytics takes self-service to the next levelIf you’re building your career or your business in this new era, this conversation will help you see the patterns, spot the opportunities, and stay ahead of the curve.

Is Power BI making a comeback, or is Microsoft’s real bet on Fabric?In this episode, we break down what’s happening across the data stack and why it matters for data professionals, developers, and teams building with AI.Why it matters:Microsoft is positioning Fabric as the AI runway while keeping Power BI as the semantic/data home base. The winners will learn to orchestrate, using agents for testing, automation, and scaling, while focusing on human effort on strategy and design.

AI voice is here: live translation, agent-to-agent booking, and call transcripts you can analyze instantly. We share concrete use cases, the MCP tool layer, and how teams turn conversations into first-party data that drives ops and growth.

Is AI really in a bubble, or are the headlines missing the truth?In this episode, we unpack why the so-called “AI bubble” doesn’t match reality. Innovation is still accelerating, usage keeps climbing, and compute capacity, not demand, is the real bottleneck.You’ll hear comparisons of GPT-5 Thinking, Claude, Cursor, and OpenRouter in real workflows, a look at how dynamic artifacts are replacing static dashboards, and why validation loops are making AI insights more reliable.We also cover the explosion of data center investment, real security risks in the agent era, and how big platforms are turning AI into ecosystems that monetize far beyond chat.Subscribe to The Analytic Mind to stay ahead in data and AI.

The generative economy is taking shape, but what does it actually mean for business, education, and everyday life? In this episode, we break down how AI-driven creation is changing the rules: lowering software costs, shifting how we learn, and even redefining what work looks like.From token costs to vibe coding, from the future of universities to the rise of agents, this conversation explores how the generative economy will impact us all. Listen in and get ahead of the curve on one of the biggest transformations of our time.

GPT-5 is out, but is it really a game-changer? In this episode, we unpack what’s new, what’s different from GPT-4, and why the launch has stirred so much debate. From model personalities to multi-model workflows, we explore what these changes mean for developers, businesses, and everyday users.Listen in to find out if GPT-5 is hype or the next big step forward.

Self-service BI promised to democratize data, but did it ever truly deliver?In this episode, we explore what self-service business intelligence could have been, why it struggled, and where it might actually work today. From the early days of Power BI as a "souped-up spreadsheet" to the rise of agents, context engineering, and lightweight tools, we unpack the real reasons behind BI’s evolution and where it’s heading next.This is for analysts, builders, and data professionals asking: what’s the real path forward for empowered decision-making?

New tools. New workflows. No clear map.This episode explores how we’re building faster than ever but often without knowing exactly where we’re headed. We talk about why tools now feel like teammates, how search and content systems are breaking down, and why building still matters in the middle of all the noise.If your work feels different lately, this will explain why.

AI is advancing at lightning speed from agents that automate workflows to LLMs orchestrating complex tasks. But here's the truth: despite the hype around AGI and automation, humans are still at the center of it all.In this episode, we break down what’s real and what’s exaggerated about AI today. We talk about energy limits, orchestration, memory tools, Microsoft's strategy with Power BI and Azure, and what it actually means to work with AI—not against it.Whether you're a developer, analyst, or builder, one thing is clear: AI doesn't replace you. It multiplies what you can do.👉 Topics Covered:Why energy is the real bottleneck to AI progressHow LLMs need human orchestration to be usefulWhat makes Microsoft’s data platform unstoppableWhy Power BI, Excel & agents are transforming workThe real conversation around AGI and compute limits

Discover how AI is transforming data analysis and app development by making complex tasks faster, smarter, and more accessible. This video explores the rapid advancements in AI tools that reduce the need for coding, automate database management, and enable dynamic data insights from multiple sources.Learn why traditional data warehouses might become obsolete as AI connects directly to diverse datasets, and how AI agents are reshaping roles in the software and data industries. Whether you’re a developer, analyst, or business leader, understanding these changes is crucial to staying ahead.

Power BI changed the game when it launched, offering powerful analytics at a fraction of the cost of competitors like Tableau.But as AI transforms how we work with data, are the foundations of Power BI built for what’s coming next?In this episode, we look back at the early days of PowerPivot, the real reasons Power BI won over the market, and whether it's evolving fast enough to stay relevant in a modular, API-driven, AI-first world.Topics we cover:Why Power BI really overtook TableauThe disconnect between innovation and adoptionHow AI is changing expectations for BI toolsWhat data professionals should prepare for next

In this episode, we explore how AI agents combined with Model-Driven Code Platforms (MCP) are transforming enterprise software. Learn how businesses are building custom ERP and CRM solutions faster and more cost-effectively than ever before, moving away from traditional legacy systems.Discover the power of AI-driven automation and low-code development in boosting productivity and driving innovation in enterprise operations. Tune in to understand why the future of business software is intelligent, flexible, and accessible.What You Will Learn:How AI agents and MCP are disrupting traditional enterprise softwareThe benefits of low-code and AI-driven custom ERP and CRM solutionsWays these technologies reduce costs and accelerate developmentHow intelligent automation is transforming business productivityWhy the future of enterprise software lies in flexibility and innovation

In this episode, we dive deep into the revolutionary impact of multiple AI agents collaborating to transform app development. Moving beyond traditional coding, developers are becoming managers of intelligent digital workers that work in concert to build smarter, faster, and more innovative software solutions.Learn about the AI-genetic approach and how orchestrating multiple AI agents can unlock unprecedented productivity and creativity in your projects. This new paradigm not only changes how software is developed but also opens exciting opportunities for developers and businesses alike.What You Will Learn:The concept of AI-genetic development and how multiple AI agents collaborate in app buildingHow managing AI agents changes the traditional role of developersThe productivity and innovation benefits of using AI agents in software projectsReal-world examples of AI agents working together to accelerate app developmentWhat this shift means for the future of software and developer careersTune in to stay ahead in the rapidly evolving world of AI-powered app development.

Explore how AI is transforming business software by enabling faster, smarter, and more accessible solutions. Discover how agile teams and AI-powered tools are reshaping software development and revolutionizing customer support with voice-enabled agents. Stay ahead with the latest trends in AI and business technology.Show Notes:The rise of AI-driven custom business softwareHow small agile teams are disrupting traditional software modelsVoice-enabled AI agents transforming customer supportThe shift from manual processes to AI automationWhat this means for the future of business technology and innovationStay connected for more insights on AI, software development, and digital transformation.

Google isn’t just changing search, it’s reprogramming how we experience the internet itself. As AI-generated answers, zero-click results, and algorithmic prioritization take over, the web is quietly shifting from a place you explore to a place that’s curated for you.In this episode, we unpack how Google is reshaping digital discovery, what it means for creators, researchers, and everyday users, and most importantly, how you must adapt to stay visible, relevant, and ahead of the curve.

We’re no longer asking if AI will change the world, it already has. The real question now? Who’s actually winning and who’s quietly being left behind.Early adopters are leveraging AI to scale faster, think smarter, and outpace the competition. Meanwhile, those clinging to outdated tools and thinking are losing relevance by the day. This isn't just a tech shift. It's a mindset reset. In the AI era, adaptability is the new advantage.Start learning for FREE → https://enterprisedna.co/register

Is Copilot finally finding its stride? After a wave of early hype and mixed reactions, we’re starting to see real traction—and it might just be the beginning. With new AI innovations on the horizon, including more adaptive models and smarter integrations, the way we work is set to evolve fast.But here’s the big question: are we adapting fast enough? Or are we still treating these tools like fancy features instead of the foundational shift they represent? The real opportunity lies in how we use them—not just to save time, but to think, create, and collaborate in entirely new ways. The future of work isn’t coming. It’s already here—and it’s learning fast.

As voice commands become the new keyboard, interacting with AI through speech and Model Context Protocol (MCP) is reshaping how we work and create. But it’s not just about convenience—it’s about control. While AI learns from our inputs, social media continues to shape the outputs we see, framing our digital realities. The question is: Are we guiding the tech, or is it guiding us?

Model Context Protocol (MCP) is no longer just a concept—it’s quietly powering a new era of intelligent workflows. From automating data management to enhancing prompt precision, MCP is bridging the gap between AI potential and practical business use. Pair this with AI learning, where systems improve through structured, real-time interaction, and we’re looking at a future where AI doesn’t just assist—it actively adapts. The shift from theoretical to real-world use is here, and those who understand how MCP integrates into everyday tools will lead the next wave of AI-driven transformation.

The way we build software is evolving. Vibe coding, paired with Model Context Protocols (MCP), is reshaping how developers interact with AI — not just to write code, but to collaborate with it. These tools turn AI from a static assistant into a dynamic partner, accelerating learning, boosting productivity, and transforming what’s possible. The future of software development isn’t just faster — it’s smarter, more contextual, and deeply intuitive. Are we ready to code with the flow?

Excel remains a vital tool in the modern tech stack, continuing to support critical workflows despite the rise of more advanced platforms. As AI advances, security risks become more complex, requiring careful oversight and robust safeguards. Hardware challenges also persist, influencing the speed and scalability of AI solutions. Meanwhile, virtual reality continues to develop, offering new potential across industries. These trends reflect the ongoing need to balance innovation with reliability and highlight how established tools like Excel still play a key role in a rapidly evolving digital landscape.

The rise of vibe coding continues to shape how developers interact with AI tools, offering a practical way to build knowledge through hands-on experience. OpenAI is leading on the product front, consistently releasing tools that expand the potential for both innovation and new business models. Model Context Protocols (MCPs) are becoming essential in maximizing the relevance and accuracy of AI outputs by shaping how models understand and respond to prompts. For traditional developers, this shift presents significant opportunities—those with existing coding expertise can leverage OpenAI’s tools to accelerate development, streamline workflows, and explore new applications.

From Google’s Gemini 2.5 to OpenAI’s ChatGPT 4.0, we explore how the latest advancements in artificial intelligence are revolutionizing creativity, reshaping the future of work, and challenging our perceptions of trust. What does this mean for artists, professionals, and society at large? Tune in as this conversation will give you insight into the fast-evolving AI landscape.

In this video, we dive deep into how advancements in artificial intelligence are transforming the software development landscape. From Power BI integrations to the rise of AI coding assistants like OpenRouter and the adoption of Vibe Coding, discover how developers are rethinking traditional workflows.

This conversation explores the transformative power of AI-driven tools in development, data analytics, and automation, highlighting how new technologies are reshaping workflows and unlocking new opportunities. Sam and Brian discuss the rise of API-driven models, which are making analytics and software development more accessible than ever, allowing users to build applications, automate processes, and analyze data—all with natural language inputs. They challenge the fear-driven narrative that AI will replace jobs, instead arguing that AI is democratizing technology, making software development faster, easier, and more cost-effective while also creating more opportunities in tech, automation, and entrepreneurship.

There are so many new opportunities to evolve and adapt to this latest wave of AI tooling and a brand new ecosystem of technologies empowering it all. In this episode we discuss all of the changes that are happening and the opportunities that it is creating. The Fullstack AI Professional is a new framing, a new framework to think about when you are developing your skill set. Particularly if you were historically more data focused, you can move into application development and automations using AI APIs. You can do so much more than you realize and it's actually become almost 10 times easier than it was historically. 

There's been some big changes over the past couple of weeks around better and cheaper AI models and this isn't just hype, this is real. I wanted to cover off a lot of my thoughts around this, a lot of reasons why I believe it's a big deal and just highlight how this is great for businesses, how this is great for individuals.  I also cover why and how to make this real within your organization. It's all well and good having a better model, but how do you actually realize the benefits as a business? And that is a big part of what I want to cover here and a lot more as we create more content around the latest changes. 

After a nice break over the Christmas and New Year period, we're back at it and have had a lot of clarity around where things are all going. How this AI wave creates enormous opportunities for individuals and businesses that can approach it with a growth mindset. There's also some massive trends happening around the cost to run AI models and also the tools that are being built up around the latest AI models There's a lot changing but it's all super positive to those that buy in.

In this episode of The Analytic Mind Podcast, we explore the exciting world of AI and its profound impact on learning, productivity, and new opportunities in the data analytics sphere. Our host shares insights on how AI systems are enhancing individual capabilities, enabling professionals to acquire new skills rapidly and perform tasks more efficiently. We discuss: The current state of AI and why it's considered superior in certain aspects of general intelligence. How AI democratizes access to advanced tools and skills, allowing individuals to extend their capabilities in Power BI, Excel VBA, Python, and more. The evolution of Enterprise DNA and our mission to empower users to leverage AI for greater productivity and innovation. Practical strategies for enhancing your productivity using AI tools and plugins. Insights from Sequoia Capital on the generative AI wave and the concept of 'service as a software.' The immense opportunities AI presents for automating tasks, creating new services, and transforming traditional business models. Tune in to learn how you can harness AI to unlock new opportunities, stay ahead in your field, and contribute to the evolving landscape of data analytics.

In this episode, we explore why setting up a GitHub account is more important than ever. With AI opening up a wave of new niche software opportunities, GitHub serves as a gateway to these innovations. We discuss how GitHub’s powerful network effects and vibrant community of developers are fueling collaboration on groundbreaking projects. From open-source contributions to connecting with experts, we break down how you can leverage GitHub to stay ahead in this rapidly evolving tech landscape.

In this video, I share my insights on leveraging AI to rapidly acquire new skills, emphasizing the unprecedented learning opportunities available. I discuss the transformative power of AI in learning, the efficiency of short bursts of learning followed by project implementation, and the personalized learning experience AI offers. I recommend integrating AI into skill acquisition processes and highlight the compounding effect it has on productivity and skill development.

In this video, I delve into the evolving landscape of AI, discussing key trends like multi-modal capabilities, AI agents, open source software, faster inference speeds, and smaller, more affordable models. These advancements are not just hype; they signify the beginning of a significant transformation in how we approach productivity, business growth, and customer service. I highlight the potential impact on industries, job markets, and customer experiences, emphasizing the need to adapt and leverage these emerging technologies for competitive advantage.

In this podcast we discuss how voice and vision technology namely from Open AI is about to change everything. After using particularly the voice technology for a weekend there's some enormous changes that are going to happen to the way we interact with and use technology. It's all incredibly exciting so we discuss it at length during this particular podcast episode

After a 6 month break the podcast is back! There's been a lot of reflecting and thinking that's been happening over the last while and those thoughts are shared in detail in this latest episode of The Analytic Mind. New content, new ideas, new guests. This is now TIW 2.0. The world is changing and so shall we!

In this episode of the Analytic Mind podcast, join us as we delve deep into the transformative power of AI in the data analytics space and its broader implications across various industries. From personal anecdotes about new workflows to the potential of tools like ChatGPT and the code interpreter, we discuss the massive revelations that AI brings to the table. We also touch upon the democratization of data work, the future of data engineering, and the exciting opportunities that lie ahead for both businesses and individuals. Whether you're a data enthusiast or just curious about the future of AI, this episode offers a comprehensive look into the ongoing AI revolution and its profound impact on our daily lives and workflows.

Join Sam in this thought-provoking episode of 'The Analytic Mind,' as he delves into the heart of the AI revolution and its transformative impact on data analysis. In this era of rapid technological advancement, Sam explores how AI is reshaping the landscape, causing disruption in content creation, customer acquisition, marketing, sales, and fundamentally changing the way we analyze data. Sam shares his insights on the challenges and opportunities this new era presents, urging businesses and data professionals to evolve and adapt. He discusses the potential of AI to understand and analyze large data sets, providing insights and visualizations without the need for manual model building or formula creation. This episode is a must-listen for anyone seeking to understand the future of data analysis in an AI-powered world. Sam encourages listeners to see these changes not as obstacles but as opportunities for growth and innovation. Tune in to discover how you can navigate this new landscape, increase productivity, and expand your skill set in the face of change. Don't miss this enlightening discussion on the AI revolution and its implications for the future of data analysis. Tune in, get inspired, and start thinking big about what's possible in this new era of data

In this episode of "The Analytic Mind," join host Sam McKay as he delves into the exciting world of analytics and artificial intelligence (AI) integration with special guest Henry Habib. Together, they explore Microsoft's bold move with Fabric, a strategic shift that is revolutionizing the analytics landscape.  Discover the transformative impact of AI on the analytics field and gain insights into its implications for individuals and industries. Explore the evolving landscape of analytics and learn about Microsoft's innovative approach to harnessing the power of AI.    In this episode, you will learn the following:  Discover the transformative impact of AI on the analytics field and understand its implications for individuals and industry.  Explore the ethical considerations and challenges surrounding the attribution of content in the age of language models (LLMs).  Learn about the revolutionary potential of LLM agents in revolutionizing workflows and democratizing open-source technologies.  Be our guest, register here: ⁠⁠https://www.enterprisedna.co/be-our-podcast-guest/⁠⁠ Connect with me:  Henry Habib  Website: https://linktr.ee/henrylearning    Sam McKay  Website: ⁠⁠⁠https://www.enterprisedna.co/ ⁠⁠   LinkedIn:⁠ https://www.linkedin.com/in/sammckayenterprisedna/⁠⁠⁠   Loved this episode? Leave us a review and rating here: ⁠⁠https://podcasts.apple.com/us/podcast/the-analytic-mind/id154106699  

Join Power BI experts Sam McKay and Wyn Hopkins as they discuss the evolution of Power BI, from its early days to its current AI-powered capabilities, and explore how it has transformed data analytics and reporting. In this episode, Sam and Win Hopkins, Power BI veterans from Access Analytic, delve into their experiences with Power BI, its growth as a tool, and its impact on organizations' efficiency and productivity. They explore real-life success stories, the power of automation, and the revolutionary potential of AI in data analytics. Don't miss this insightful conversation about the past, present, and future of Power BI. Wyn Hopkins is the Director at Access Analytic, where he provides amazing Excel and Power BI solutions to leading companies in Perth. With extensive expertise as an Excel MVP, Microsoft Certified Excel Expert, and Power BI Developer, Wyn is a highly sought-after trainer and speaker. He brings years of experience working with Chevron and a deep understanding of business intelligence software to help organizations optimize their analysis, reporting, and process improvement. With a track record of delivering solutions that exceed expectations, Wyn is at the forefront of empowering businesses with modern data analytics tools. In this episode, you will learn the following:  The transformative impact of AI on productivity and learning, and how it is revolutionizing various fields.  The significance of Power BI as a distribution mechanism for insights and the role of cloud-based tools in data analysis and collaboration.  The transformative impact of AI in simplifying tasks and enabling quick learning of new tools. Throughout the episode, our guest, Wyn Hopkins, shares insights, experiences, and perspectives on these topics, providing valuable knowledge and perspectives for listeners interested in AI, Power Query, Power BI, Excel, and content creation. For full show notes, and the links mentioned visit: ⁠⁠⁠https://www.enterprisedna.co/podcast⁠⁠⁠ Be our guest, register here: ⁠⁠⁠https://www.enterprisedna.co/be-our-podcast-guest/⁠⁠⁠ Connect with Wyn Hopkins: LinkedIn: ⁠⁠https://www.linkedin.com/in/wynhopkins/ Website: ⁠https://www.accessanalytic.com.au/ Website: https://pbi.guide/book YouTube: https://www.youtube.com/@AccessAnalytic Podcast: https://www.youtube.com/@PowerQuery Connect with Sam McKay Website: ⁠⁠⁠⁠https://www.enterprisedna.co/⁠⁠LinkedIn:⁠⁠ https://www.linkedin.com/in/sammckayenterprisedna/⁠⁠⁠⁠ Loved this episode? Leave us a review and rating here: ⁠⁠https://podcasts.apple.com/us/podcast/the-analytic-mind/id154106699

Are you struggling to find meaningful learning support in the data analytics field? Tired of the same ineffective advice and lacking the right connections to make a difference? Join us in this episode and learn how to unlock personalized learning support with data communities and AI technology – finally advancing your skills and career in data science. In this episode, you will be able to: Establish close-knit communities for individualized learning support in the realm of data analytics. Elevate your worth as a data professional by mastering Python's adaptability and AI potential. Attract employer interest with striking data analysis projects featured in your portfolio. Integrate AI technologies, such as Chat GPT, to revolutionize your data analytics learning experience. Overcome the isolation of freelancing while forging meaningful connections and mentorship within the data industry. Kedeisha Bryan is a dedicated data professional who has made a significant impact in the field of data analytics in just two years. With a background in senior data engineering at Booz Allen Hamilton, Kedeisha has a wealth of experience in various aspects of data analysis, data science, and data engineering. She began her journey in data analytics by self-studying SQL, Tableau, and Excel, which led to a year-long full-time internship and eventually to her current position. Kedeisha is the founder of Data in Motion, a thriving private community for data enthusiasts that offers personalized learning support and resources. For full show notes, and the links mentioned visit: ⁠⁠https://www.enterprisedna.co/podcast⁠⁠ Be our guest, register here: ⁠⁠https://www.enterprisedna.co/be-our-podcast-guest/⁠⁠ Connect with Kedeisha Bryan: LinkedIn: ⁠https://www.linkedin.com/in/kedeishabryan/⁠ Website: https://kedeisha1.github.io/ LinkedIn Page: https://www.linkedin.com/company/data-in-motion-llc/ Website: https://linktr.ee/data_in_motion Connect with Sam McKay Website: ⁠⁠⁠https://www.enterprisedna.co/⁠⁠LinkedIn:⁠⁠ https://www.linkedin.com/in/sammckayenterprisedna/⁠⁠⁠ Loved this episode? Leave us a review and rating here: ⁠⁠https://podcasts.apple.com/us/podcast/the-analytic-mind/id154106699

In this episode of The Analytic Mind, host Sam McKay welcomes data expert Nikola Ilic, also known as the Data Mozart, to discuss the latest developments in the data world. Nikola shares his background working with traditional Microsoft business intelligence products and his current focus on Power BI and Azure Synapse Analytics. The conversation then turns to the strength of Microsoft's data platform and the integration of its various components. Sam and Nikola also explore the potential of AI technology in data analysis and productivity, citing recent advancements in PowerPoint and Power BI. Nikola Ilic is a renowned data expert with extensive experience working with traditional Microsoft Business Intelligence stack, Power BI, and Azure Synapse Analytics. He is passionate about the Microsoft Evolution and BI stack and has identified a talent gap in the Power BI community to create high-quality solutions that can cater to different business units. Nikola believes that the combination of AI and Power BI can revolutionize the way people use data to make informed decisions, leading to increased productivity and success. In this episode, you will learn the following: 1. How AI is revolutionizing data immersion, analytics, and visualization. 2. Best practices for architecting large data initiatives. 3. Automating the retrieval and transformation of data for everyday business users. For full show notes, and the links mentioned visit: ⁠⁠https://www.enterprisedna.co/podcast⁠⁠ Be our guest, register here: ⁠⁠https://www.enterprisedna.co/be-our-podcast-guest/⁠⁠ Connect with me: Nikola Ilic Website: https://data-mozart.com/ LinkedIn: https://www.linkedin.com/in/nikola-ilic-data-mozart/ Twitter: https://twitter.com/DataMozart Sam McKay Website: ⁠⁠https://www.enterprisedna.co/⁠⁠LinkedIn:⁠⁠ https://www.linkedin.com/in/sammckayenterprisedna/⁠⁠ Loved this episode? Leave us a review and rating here: ⁠⁠https://podcasts.apple.com/us/podcast/the-analytic-mind/id154106699