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Latest Articles

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AI Compliance Explained: Regulations, Frameworks, and Controls

TL;DR AI compliance means proving your AI systems follow applicable laws and internal risk standards, not just writing a policy that says they should. In 2026, enterprises must map obligations across the EU AI Act, NIST AI RMF, and sector-specific rules like HIPAA and GLBA. Getting it right starts with an AI system inventory, risk classification, and data governance controls.

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Engineering leaders reviewing engagement contracts while weighing staff augmentation vs outsourcing for their team

Staff Augmentation vs Outsourcing and How to Choose the Right Model

TL;DR: Staff augmentation places engineers you direct inside your own team, so control, knowledge, and IP stay in-house. Project outsourcing hands a defined deliverable to a vendor that owns delivery end to end. Augment when you have technical leadership and evolving scope. Outsource when the work is well-bounded and not core to your product. Comparing engagement models from a different

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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

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