TL;DR AI agents are autonomous systems that complete multi-step dev tasks without constant prompting. Small dev teams are using them to automate code reviews, onboarding, testing, project planning, and competitor research. This guide covers seven tasks you can hand off to an AI agent today, with the right tool for each one. As we welcome a new era of AI-driven
TL;DR SAP data migration is the work of moving master, transactional, and historical data out of SAP systems into a new target, either SAP S/4HANA or a modern analytics platform. Most enterprises now run both tracks at once. The ERP track moves operational data into S/4HANA before mainstream maintenance for SAP Business Suite 7 core applications, including SAP ERP 6.0,
TL;DR A semantic layer defines how business metrics are calculated, so every report and query returns the same number. An ontology defines what business things are and how they relate, such as customers, orders, plants, and suppliers. The semantic layer answers “what is our revenue?” while the ontology answers “which suppliers affect this customer’s late orders?” AI agents need both,
Business Ontology on Microsoft Fabric: Global Pharma Case Study
Microsoft Fabric Case Study: Order Lead Time Analytics for Manufacturing
Invoice Processing Automation Case Study: 80% Less Manual Work
Dedicated Engineering Team Case Study: Scaling Through a PE-Backed Merger
Microsoft Fabric Case Study: FoodPharma Cuts Reporting to 90 Minutes
QlikView to Power BI Migration: 70% Less Manual Reporting
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
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