The Digital Shift by Kanerika
”The Digital Shift by Kanerika” explores the game-changing technologies that are transforming businesses today. In each episode, we break down the impact of AI, analytics, and automation on modern industries, helping listeners understand how to boost efficiency, harness data-driven insights, and secure their digital future. With expert insights from Kanerika, you gain access to practical knowledge that can help grow your business while shaping tomorrow’s business landscape.
Episodes
In this episode of The Digital Shift, we explore AI access control and how enterprises can control what AI agents can access and execute.
We cover least-privilege access, role, attribute, and policy-based controls, plus a five-stage maturity model for building governed AI systems.
Want to secure AI access across your enterprise? Connect with Kanerika:
In this episode of The Digital Shift, we explore Databricks Lakebase, a Postgres-compatible operational database built into the Databricks platform.
We cover its architecture, autoscaling, Unity Catalog integration, AI agent memory, feature serving, enterprise use cases, and pricing.
Looking to modernize your Databricks architecture? Connect with Kanerika: https://kanerika.com/contact-us/?...
In this episode of The Digital Shift, we discuss how enterprises can hire and vet ETL developers based on real technical skills, not just tool experience.
We cover SQL and cloud skills, hiring models including staff augmentation, salary benchmarks, and practical screening for production-ready talent.
Looking for experienced ETL talent for your data projects? Connect with Kanerika: https://...
In this episode of The Digital Shift, we explore Kanerika’s AI auditing framework for managing the legal, security, and operational risks of enterprise AI.
We cover continuous AI monitoring, NIST AI RMF, ISO/IEC 42001, and how governance teams can build more accountable AI systems.
Need a practical approach to AI governance? Connect with Kanerika: https://kanerika.com/contact-us/?utm...
In this episode of The Digital Shift, we explore why LLMs can produce incorrect answers when working with enterprise data and business rules.
We discuss how semantic layers and governed ontologies give AI the business context it needs for more accurate, trusted results.
Want to make enterprise AI more reliable? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbean&...
Can an AI agent actually replace your BI team, or just take the pressure off it?
In this episode of The Digital Shift by Kanerika, host Lekhya sits down with Amit Jena, Development Manager for AI at Kanerika, to break down Karl, Kanerika's AI-powered data analytics agent for natural language BI.
Amit explains why enterprise data is often a mess spread across SAP, legacy systems, and spreadsheets, and how Karl acts like a personal b...
In this episode of The Digital Shift, we break down Microsoft Purview licensing in 2026, including user-based subscriptions, consumption-based billing, and Azure usage costs.
We discuss common licensing mistakes, who needs licenses, and how enterprises can forecast costs with a structured assessment approach.
Planning your Microsoft Purview strategy? Connect with Kanerika: https://kanerika...
In this episode of The Digital Shift, we explore how enterprises can reduce Microsoft Fabric migration costs through automation, shorter dual-platform periods, infrastructure consolidation, and Microsoft funding.
We discuss how Kanerika’s FLIP accelerator automates migration work and how Azure investment programs can help offset project costs.
In this episode of The Digital Shift, we compare Forward Deployed Engineers and Data Engineers and how their roles differ across enterprise AI projects.
We cover data foundations, production integration, required skills, and when each role becomes critical.
Need the right engineering expertise for your AI initiative? Connect with Kanerika: https://kanerika.com/contact-us/?utm_source=Podbea...
In this episode, Kanishka Goel speaks with Shaurya to discuss how Snowflake has evolved beyond a cloud data warehouse into an AI platform. They explore Snowflake’s AI capabilities, modern data architecture, governance, and what enterprises need to consider as they prepare their data platforms for AI.
Connect with Kanerika: https://kanerika.com/contact-us/?
In this episode of The Digital Shift, we explore how IT staff augmentation helps enterprises fill critical skill gaps in AI, data, and cloud projects.
We discuss faster access to specialists, lower hiring risk, flexible capacity, and how experts in platforms like Databricks and Microsoft Fabric can support complex projects.
Need specialized talent without long-term hiring? Connect with Kan...
In this episode of The Digital Shift, we explore how enterprises use Microsoft Azure for cloud migration, hybrid environments, AI applications, and infrastructure modernization.
We cover key Azure services, cost optimization strategies, and how Kanerika helps organizations accelerate Azure transitions with automated migration tools and governance expertise.
In this episode of The Digital Shift, we explore the role of Forward Deployed Engineers (FDEs) and why enterprises are adopting this model to move AI projects into production.
We discuss the skills FDEs need, how they work directly with client environments, and how this approach helps overcome integration challenges, legacy systems, and data silos.
AI projects often fail for a reason most companies overlook: people don't adopt them.
Organizations invest in AI tools, build pilots, and launch new systems, but many struggle when it comes to real-world usage. The challenge is rarely just the technology. It comes down to trust, workflow integration, employee readiness, and whether AI solves a real business problem.
In this episode of The Digital Shift by Kanerika, Kanishka Goel sp...
Why do some data migration projects meet their goals while others run over budget, miss deadlines, or fail completely?
In this episode, Manisha Chowdari, Head of Business Analysis at Kanerika, explains the main factors that decide the outcome of an enterprise data migration. She discusses poor planning, unclear business requirements, weak data quality, limited stakeholder involvement, testing gaps, and the risks of treating migrat...
In this episode of The Digital Shift, we explore five product engineering strategies helping enterprises build faster, scalable, and AI-ready software in 2026.
We cover Agile and DevOps integration, microservices, cloud-native development, AI-powered workflows, and data-driven product improvements.
Looking to build better software products with modern engineering practices? Connect with Ka...
In this episode of The Digital Shift, we explore how AI-powered digital twins use Microsoft Fabric and Esri ArcGIS to predict equipment failures and improve industrial maintenance.
Watch our webinar on AI-Powered Digital Twins for Preventive Maintenance: https://kanerika.com/events-and-webinars/ai-powered-digital-twins-for-preventive-maintenance/
We discuss how Microsoft Fabric and Esri ArcGIS combine sensor, operational, and geogr...
In this episode of The Digital Shift, we explore Adaptive Software Development (ASD) and its Speculate, Collaborate, Learn framework for managing complex projects with changing requirements.
We discuss how ASD differs from traditional approaches, why continuous learning matters, and how it applies to modern AI development and enterprise data projects.
In this episode of The Digital Shift, we explore how modern product engineering testing services help enterprises build reliable software with shift-left testing, AI-assisted automation, and QAOps.
We cover testing approaches across security, performance, and accessibility, along with engagement models like staff augmentation and managed services.
In this episode of The Digital Shift, we explore modern data modeling strategies essential for AI-ready enterprise architecture.
We cover approaches like dimensional modeling and data vault, the importance of standardized naming and machine-readable metadata, along with much more.
We also highlight Kanerika’s solutions for migrating legacy systems to cloud-native platforms using auto...
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