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Latest Articles

Snowflake Data Governance

Snowflake Data Governance: What the Query Engine Layer Changes About Compliance

Only 8% of organizations globally maintain a full AI governance framework even as 88% actively use AI across business functions. That gap has a direct cost: ungoverned AI produces inconsistent outputs, creates compliance exposure, and generates audit findings that undo months of work. Snowflake’s approach to data governance differs from most platforms in one architectural detail that carries real consequences. Policies

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kanerika blog banner for conversational ai

Conversational AI in 2026: Why Most Enterprise Deployments Still Stall

TL;DR Conversational AI uses NLP and machine learning to understand intent and respond through text, voice, or multimodal interfaces. Unlike rule-based chatbots, these systems retrieve live data, maintain context, and now trigger actions across enterprise workflows. In 2026, the defining shift is from answer-only bots to agentic systems that complete tasks autonomously within governed boundaries. The gap between capable AI

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data versioning tools

Engineering Data Management: A Complete 2026 Guide for Enterprise Teams

TL;DR Engineering data management (EDM) is the practice of organizing, versioning, and governing all data generated across an engineering lifecycle, from CAD metadata and schematics to sensor telemetry and bills of materials. In 2026, EDM runs on cloud platforms like Microsoft Fabric, Databricks, and Snowflake rather than legacy PDM vaults. These platforms give engineering organizations a governed, AI-ready data layer

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Our Informative Video Library

FoodPharma’s Reporting Transformation with Microsoft Fabric and Kanerika

Kanerika Inc. June 15th

Migrating Legacy QlikView Reporting to Real-Time Power BI Analytics | Case Study

Kanerika Inc. June 3rd

Enhancing Brand Compliance and Approval Workflows with Conversational AI

Kanerika Inc. May 18th

Building an AI-Powered Compliance Platform That Scales Across Jurisdictions

Kanerika Inc. May 13th

Data Accuracy in Premium Reconciliation with Automation for Fortegra | Kanerika's case study

Kanerika Inc. April 14th

Enabling Faster Insights with Informatica to Microsoft Fabric Migration

Kanerika Inc. April 5th

How Microsoft Fabric Improved Sales & Financial KPIs for a Leading Pharma Manufacturer

Kanerika Inc. January 20th

How Microsoft Fabric Helps Reduce Cost & Boost Data Performance: A Case Study

Kanerika Inc. December 14th

Enhancing Decision-Making and Reducing Costs with Power BI.

Kanerika Inc. November 24th

$1.2M

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50%

Faster Time-to-market for Fintech and Healthtech products

28%

Boost in Customer Retention in Retail and E-commerce

30%

Reduction in Project Timelines for Pharmaceutical Firms

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