Retailers like Walmart, Target, and Amazon already run large parts of their merchandising and supply chains on predictions, not guesses. They forecast what shoppers will buy, when stock will run low, and which customers are about to leave. The rest of the industry is catching up fast. Predictive analytics uses historical and live data to estimate what happens next. For a
Most enterprise AI never makes it out of the pilot. MIT’s State of AI in Business 2025 found that 95% of generative AI pilots deliver no measurable financial impact. The same report found that systems built with specialized vendors succeed about twice as often as internal builds. That makes the choice of an LLM development company one of the most consequential decisions
Enterprises are pouring money into AI, but fewer than half have governance structures that would survive a regulator asking hard questions. According to McKinsey’s 2026 AI Trust Maturity Survey, only one in three organizations has reached maturity level 3 or above across strategy, governance, and agentic AI controls, despite AI now running in production across core business functions. The gap
FoodPharma’s Reporting Transformation with Microsoft Fabric and Kanerika
Migrating Legacy QlikView Reporting to Real-Time Power BI Analytics | Case Study
Enhancing Brand Compliance and Approval Workflows with Conversational AI
Building an AI-Powered Compliance Platform That Scales Across Jurisdictions
Data Accuracy in Premium Reconciliation with Automation for Fortegra | Kanerika's case study
Enabling Faster Insights with Informatica to Microsoft Fabric Migration
How Microsoft Fabric Improved Sales & Financial KPIs for a Leading Pharma Manufacturer
How Microsoft Fabric Helps Reduce Cost & Boost Data Performance: A Case Study
Enhancing Decision-Making and Reducing Costs with Power BI.
