The Digital Shift by Kanerika

In this episode of The Digital Shift, we explore the Claude Partner Network, Anthropic’s AI partner ecosystem, its four tiers, and the benefits of support, training, and co-marketing. We also highlight Kanerika as a featured partner specializing in automated workflows and data modernization. Looking to implement AI with the right partner? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we explore Snowflake CoCo, the 2026 AI coding agent designed to automate SQL, data engineering, and ML workflows within Snowflake. We cover how CoCo uses real-time metadata, organizational schemas, and role-based access controls, integrates across Snowsight, desktop apps, and VS Code, and executes tasks with Cloud Agents. Looking to accelerate Snowflake workflows with AI? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead  

In this episode of The Digital Shift, we explore AI staff augmentation, showing how enterprises can integrate specialized AI experts, like MLOps engineers and agentic AI developers, into existing teams. We cover a six-gate vetting framework, total cost of ownership, and a 90-day plan to make contractors productive while maintaining internal control. Looking to scale your AI team effectively? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we discuss Kanerika’s whitepaper, State of Enterprise AI and Data Modernization 2026 Read the Whitepaper here: https://kanerika.com/whitepapers/the-state-of-enterprise-ai-and-data-modernization-2026/ We highlight why many AI initiatives fail and how strong data foundations and governance drive faster, more reliable outcomes. Want to turn AI adoption into measurable results? Connect with Kanerika.

In this episode of The Digital Shift, we discuss Kanerika’s whitepaper, State of Enterprise Data Migration 2026 Read the whitepaper here: https://kanerika.com/whitepapers/the-state-of-enterprise-data-platform-migrations-2026/ We explore why 73% of data modernization projects fail based on extensive research and how FLIP automates up to 85% of migration tasks, reducing timelines and costs. Looking to modernize your enterprise data infrastructure using research-backed insights? Connect with Kanerika  

In this episode of The Digital Shift, we compare Microsoft Fabric, Databricks, and Snowflake to help enterprises choose the right platform for their business goals. We discuss Fabric’s unified Azure-native approach, Databricks’ strength in ML, and Snowflake’s capabilities for governed data sharing. We also highlight Kanerika’s FLIP platform, which automates and accelerates migrations from legacy systems to modern cloud environments. Looking to pick the right data platform for your enterprise? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we explore enterprise AI spending and ROI trends for 2026, including the $2.59 trillion global investment in AI infrastructure. We discuss why many organizations struggle to achieve measurable returns, the importance of production-ready environments, modernized data architectures, and governance frameworks. Want to bridge the gap between AI adoption and profitability? Connect with Kanerika:  https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we explore Databricks Genie Code, an agentic AI system that automates data engineering, ML workflows, pipeline debugging, and dashboard creation inside the Databricks workspace. We cover how it uses Unity Catalog for governed, context-aware execution, along with its benefits, limitations, and upcoming usage-based pricing changes. Want to bring agentic AI into your data workflows? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we compare Databricks and Snowflake in 2026 and how both are evolving for enterprise AI. We cover Databricks’ strength in lakehouse, ML, and engineering, and Snowflake’s leadership in SQL analytics and warehousing, along with their latest AI capabilities. Choosing between them depends on skills, cost, and AI goals. Looking to build the right data platform strategy? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode, we compare Snowflake and Amazon Redshift to help data leaders choose the right data warehouse platform. We cover performance, cost, scalability, cloud fit, and workload needs so teams can make a smarter platform decision. Book a free consultation with Kanerika and find the best-fit path for your data platform: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we discuss updates shared at the Databricks Data + AI Summit 2026, including LTAP, Lakehouse//RT, OpenSharing, Genie One, CustomerLake, and the Panther acquisition. We also discuss how these updates point to a single governed lakehouse for AI, analytics, and enterprise workloads. Want to simplify and modernize your Databricks data and AI stack? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we discuss the top data engineering companies for 2026 and what enterprises should check before choosing a partner. We cover how data engineering supports AI, analytics, cloud migration, ETL automation, governance, and real-time insights. Want to build AI-ready data systems?  Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we discuss why enterprises are moving from Alteryx to Microsoft Fabric to reduce licensing costs, improve performance, and bring data engineering, analytics, and AI into one platform. We also cover how Kanerika’s FLIP accelerator helps automate workflow conversion, reduce manual effort, and speed up migration from legacy Alteryx assets to the Microsoft ecosystem. Want to move from Alteryx to Microsoft Fabric with less risk and faster execution? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we discuss how Edge AI processes data on devices like sensors, cameras, and machines instead of sending everything to the cloud. We cover how it supports faster decisions, stronger privacy, lower latency, and more reliable operations across manufacturing, retail, automotive, and industrial workflows. Curious how Edge AI can make your enterprise smarter and faster? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we discuss how multimodal AI tools are helping enterprises work with text, images, audio, and documents in one system.  We cover the top models for 2026, key business use cases, and what companies need to manage before scaling multimodal AI.  Want to build enterprise AI solutions that deliver measurable business value?  Book a free meeting today:  https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we discuss how LLM gateways help enterprises move AI from prototypes to secure production systems. We cover how gateways sit between internal apps and AI model providers to control access, manage token costs, route requests, redact PII, and reduce provider risk. We also discuss why BFSI and healthcare teams need stronger AI security, private deployment, semantic caching, and centralized governance for agentic AI systems. Want to make enterprise AI more secure, controlled, and production-ready? Book a free meeting today: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode of The Digital Shift, we discuss how data augmentation helps AI teams improve model accuracy without collecting large amounts of new data. We cover how controlled changes to images, text, and tabular data improve dataset variety, reduce overfitting, and fix class imbalance. The episode also explains online vs. offline augmentation, key use cases in healthcare, manufacturing, and finance, and risks such as label errors and data bias. Want to improve AI model accuracy without collecting more data? Book a free meeting today: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

In this episode, we compare Microsoft Power BI and Tableau across pricing, scalability, visualization capabilities, and enterprise use cases.   We also discuss how organizations can choose the right BI platform based on their analytics goals and data strategy.  Looking to modernize your analytics stack? Book a free meeting today: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead          

In this episode, we explore the trade-offs between Fabric Mirroring and Iceberg External Tables for sharing data between Snowflake and Microsoft Fabric. We discuss the balance between simplicity, cost savings, and operational complexity, and how these choices impact long-term data architecture decisions. We also cover how Kanerika FLIP helps enterprises simplify migrations and modernize cloud data environments. Looking to simplify enterprise data sharing and migration? Schedule a call with Kanerika today.  https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead        

n this episode, we break down why Hermes Agent is suddenly everywhere in enterprise AI conversations. From autonomous workflows and multi-agent orchestration to real business use cases, we cover what makes it different from standard AI copilots. We also unpack why companies are paying attention now, where it fits inside modern data and AI stacks, and what teams often miss when adopting agentic AI systems. Interested in building AI agents for your business? Book a free meeting : https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead      

In this episode, we break down why IBM’s $11 billion Confluent acquisition was really about solving fragmented enterprise data for AI. AI systems fail when data stays disconnected across platforms. That is why #AIDriven #DataFabric architectures are becoming critical for real-time enterprise AI. We also discuss how platforms like Microsoft Fabric are combining governance, streaming data, and AI agents into one connected ecosystem. Book a meeting with Kanerika to discuss your AI and data strategy : https://kanerika.com/contact-us/?utm_source=Buffer&utm_medium=social&utm_campaign=lead

In this episode, we explore how business intelligence is helping modern manufacturing plants move from reactive operations to data-driven decision-making. From production visibility and predictive analytics to supply chain insights and operational efficiency, we break down how manufacturers are using BI to improve performance, reduce downtime, and respond faster to changing business demands. Contact us to get started: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead    

In this episode, we break down the complete data migration life cycle and explore what it really takes to move enterprise data successfully from legacy systems to modern platforms. From planning and data assessment to migration execution, validation, and post-migration optimization, we cover the key stages, common challenges, and best practices organizations need to know to reduce risk and avoid costly disruptions.   Ready to modernize your data infrastructure? Contact us to get started.: https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead 

In this episode, we break down why traditional BI dashboards are no longer enough for modern businesses. We look at how Agentic BI shifts the focus from static reports to real-time answers and actions. You’ll hear how AI agents understand questions, pull insights instantly, and reduce dependency on manual analysis. We also touch on what this shift means for teams, decision-making, and speed.   Get started with agentic AI : https://kanerika.com/contact-us/

In this episode, we walk through a practical approach to migrating from Informatica to Talend.We cover the key steps, common challenges, and how teams can move faster while reducing risk and manual effort. If you're planning a migration or evaluating modern data platforms, this episode gives you a clear, step-by-step perspective Contact us to know more: https://kanerika.com/contact-us/.

In this episode, we explore some of the top agentic AI companies shaping how AI systems are built and deployed today. We break down what makes these companies stand out, how their approaches differ, and what it means for organizations looking to adopt AI agents in real-world scenarios. Contact us to get started: https://kanerika.com/contact-us/

In this episode, we break down Databricks’ latest AI capabilities and what they mean for real-world data platforms. From Agent Bricks to Lakebase and Unity Catalog, we explore how these components fit together. We also discuss how they impact AI adoption, data architecture, and moving from experimentation to production. Book a meeting to get started: https://kanerika.com/contact-us/  

In this episode, we break down ChatGPT apps, what’s available today, how they’re being used, and what’s expected in 2026. We explore how apps are changing the way users interact with ChatGPT, moving from simple prompts to more integrated, task-driven experiences. From current capabilities to upcoming features, we look at what’s real and what’s next. 👉 Let’s discuss your use case. Book a meeting: https://kanerika.com/meet

In this episode, we explore the best AI analytics tools and strategies for 2026, and what they mean for organizations looking to stay competitive. From the shift toward real-time, AI-driven decision-making to the rise of unified data platforms and agent-based systems, we break down what’s actually changing in the analytics space. We also discuss how enterprises can move beyond traditional reporting, adopt modern data architectures, and make better use of AI for faster, more reliable decisions. Contact us to know more: https://kanerika.com/contact-us/        

In this episode, we explore whether OpenClaw can truly handle enterprise production workloads. Joined by Amit Kumar Jena from Kanerika, we go beyond the hype to discuss the real challenges of scaling AI agents messy data, complex integrations, performance limits, and hidden costs. If you're evaluating AI frameworks for real business use, this conversation gives you a clear, practical perspective. Contact us to know more: https://kanerika.com/contact-us/      

In this episode, we break down how OpenClaw is changing the way teams handle daily work by turning simple instructions into real actions across apps and workflows. We explore 15 practical use cases that show how businesses can automate emails, manage leads, and handle repetitive tasks without constant follow-ups.    Contact us to know more: https://kanerika.com/contact-us/      

In this episode, Amit Chandak shares insights on how data analytics has evolved and why Microsoft Fabric is gaining attention across enterprises. We discuss why many Fabric deployments fail at scale, the common challenges teams face, and what organizations often overlook during implementation. The conversation also covers practical aspects of migrating from legacy platforms to Fabric, and how to approach it the right way. Contact us to get started with Fabric : https://kanerika.com/contact-us/

In this episode, we break down what really happened at FabCon 2026 and why it matters.We cover the biggest announcements, including Fabric IQ, Database Hub, and AI agents.You’ll learn how Microsoft Fabric is moving from data management to real-time intelligent action. Contact us to know more: https://kanerika.com/contact-us/  

In this episode, we break down what it actually takes to scale AI from pilot to production. Most AI projects stall after proof of concept. The gap between a working pilot and full production deployment is where most companies struggle dealing with data quality issues, infrastructure limitations, governance requirements, and organizational resistance. Contact us to know more: https://kanerika.com/contact-us/      

In this episode, we talk about how Microsoft Fabric is changing finance by bringing data, analytics, and AI into one place. We explore how finance teams can move faster, reduce manual work, and get real-time insights for better decision-making.   Contact us to know more!

In this episode, we explore how retail data analytics is transforming customer experience and driving sales growth. We cover how retailers use data to personalize shopping experiences, optimize inventory management, and predict customer behavior. Contact us to know more: https://kanerika.com/contact-us/

In this episode, we compare GPT Codex and Claude Code for enterprise development teams. Which one handles complex codebases better? Which saves more time? And which tool fits your workflow without adding friction? We break down the real differences, test both on enterprise scenarios, and help you decide which AI coding assistant is actually worth using Contact us at : https://kanerika.com/contact-us/  

In this episode, we break down the shift from one-time migration projects to continuous modernization programs. We cover how cloud economics, AI readiness, and regulatory pressure are forcing organizations to rethink their entire approach. You'll learn why migration governance, quality engineering, and observability now matter more than speed. Book a free meeting with us to take a free Data Platform Migration demo.   

In this episode, we break down why banking data migration is one of the highest-risk operations in financial services. We cover the security strategies banks can't afford to skip, the compliance minefields most organizations underestimate, and what actually works when you're moving decades of customer data without downtime. If you're planning a migration or stuck in one that's stalled, this is the conversation you need to hear. Book a free meeting

A head-to-head comparison of Looker Studio and Power BI. We break down pricing, data connectivity, visualization capabilities, and enterprise scalability to help you decide which tool actually fits your business needs. If you're evaluating BI platforms or considering a switch, this cuts through the marketing and gives you the practical differences that matter. Book a free meeting         

In this episode, we explore how Microsoft Fabric is tackling one of healthcare's biggest challenges: fragmented data. From patient records scattered across systems to analytics that can't keep pace with real-time care demands, healthcare organizations have struggled with data silos for decades. Discover how Fabric's unified analytics platform is changing the game in 2026 Book a free meeting    

In this episode, we explore the game-changing benefits of Real-Time Intelligence in Microsoft Fabric. Discover how organizations are transforming their decision-making with instant data insights, eliminating the delays of traditional batch processing.    Register for #FABCON2026 : https://kanerika.com/resources/events-and-webinars/  

In this episode, we break down the key differences between Open Claw, Claude Code, and Claude Cowork—three powerful tools that are reshaping how developers work with AI. We explore which tool fits different use cases, from solo coding projects to team collaborations. Whether you're a developer looking to streamline your workflow or a team lead planning AI integration, this comparison will help you choose the right tool for your needs. Book a free meeting with Kanerika to explore custom agentic AI solutions for your business!

In this episode, we talk about the Top 5 use cases of Microsoft Fabric and how businesses are using it to work with data more effectively. From real time data analysis to unified reporting and analytics, we break down where Fabric fits and why it matters. If you want a simple view of how Microsoft Fabric is used in real business scenarios, this episode is a good place to start.  

In this episode, we compare Microsoft Fabric and Power BI to help you decide what to use in 2026. We break down what each tool does best, where they overlap, and how Microsoft’s direction affects data teams. You will hear when Power BI is still the right choice, when Fabric makes more sense, and what to think about before making a switch. Book a free meeting  

In this episode, we dive deep into the AI agent vs workflow decision that's costing businesses thousands. We break down when AI agents are worth the investment and when a simple workflow is all you need. Plus, we share our proven 5-step decision checklist that takes the guesswork out of this choice. Still not sure which path is right for you? We can help analyze your specific business needs and build a custom solution for your business need. Book a free consultation to get started        

In this episode, we talk about why more teams are moving from SSIS to Microsoft Fabric, the limits teams face with legacy tools, and how Fabric brings AI features, real-time analytics, and Power BI into one platform. We also cover key migration points, common challenges, and what data teams should expect when making the move.   Book a free meeting with us to take a free demo.   

In this podcast, we dive deep into the battle between two data powerhouses: Microsoft Fabric and Google BigQuery. We'll break down the key differences in architecture, pricing, integration capabilities, and performance to help you determine which platform aligns best with your organization's data strategy. Whether you're already invested in the Microsoft ecosystem or considering Google's cloud-native approach, this episode provides practical insights and real-world considerations to guide your decision.  Book a free meeting        

In this podcast, we talk about how teams can move their data and analytics workloads from Azure to Microsoft Fabric without stress. The discussion covers why companies are making this shift, what changes to expect, and how to plan each step the right way. We also touch on common risks, data readiness, and tips to keep reporting and analytics running smoothly during the move. Book a free meeting with us to take a free demo. 

In this episode, we dive into the Crystal Reports end-of-life crisis that's forcing thousands of organizations to rethink their reporting strategy. We explore why SAP is pulling the plug on this legacy tool, what it means for businesses still dependent on Crystal Reports, and how Power BI has emerged as the clear migration path forward.   Book a free meeting with us to take a free demo.