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:

https://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

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/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

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://kanerika.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

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_source=Podbean&utm_medium=social&utm_campaign=lead

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&utm_medium=social&utm_campaign=lead

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 business analyst that turns a plain-English question into a structured, evidence-backed answer instead of a multi-day ticket. 

Connect with Kanerika: https://kanerika.com/contact-us/?

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.com/contact-us/?utm_source=Podbean&utm_medium=social&utm_campaign=lead

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.

Want to reduce the cost of your Fabric migration? 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 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=Podbean&utm_medium=social&utm_campaign=lead

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/?