Most enterprise data sits in systems built for a different decade. The applications still work, the reports still run, but the architecture cannot stretch to support real-time analytics, AI tools, or cloud-native economics. That is what is forcing the modernization conversation, not buzzwords or vendor marketing. The cost of staying put has become measurable. Legacy ETL licensing, brittle integrations, and
Most retail technology stories arrive with a market size and a promise. Computer vision is finally getting a different kind of attention. After almost a decade of pilots, the conversation has shifted from “will this work” to “where does the payback justify the spend.” The gap between winners and stalled pilots has nothing to do with model accuracy. It has
Data migration in 2026 looks nothing like it did three years ago. Teams that used to plan one big cutover now run continuous migration programs across multiple clouds. AI assists the planning. Fabric platforms replaced siloed warehouses. Streaming replication replaced overnight batch jobs. Security and governance are designed in from day one instead of bolted on at cutover. Gartner still
SAP’s end-of-life timeline for Crystal Reports is no longer theoretical. Crystal Reports 2016 support ended on December 31, 2024, and Crystal Reports 2020 reaches end of maintenance on December 31, 2026 . For organizations running either version, this directly impacts long-term reporting strategy and accelerates the need for Crystal Reports to Power BI migration. After these dates, there are no
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