The Digital Shift by Kanerika

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 measu...

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...

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 s...

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 profit...

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...

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 stra...

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=soci...

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 Ka...

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_me...

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 ecosyst...

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 fas...

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://kane...

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, semant...

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 fi...

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=s...

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...

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...

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 ag...

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. Conta...

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 c...

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...

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:...