2025-12-31
Six data shifts that will shape enterprise AI in 2026
For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows.
That stability eroded as successive waves introduced NoSQL document stores, graph databases, and most recently vector-based systems. In the era of agentic AI, data infrastructure is once again in flux — and evolving faster than at any point in recent memory.
As 2026 dawns, one lesson has become unavoidable: data matters more than ever.
RAG is dead. Long live RAG
Perhaps the most consequential trend out of 2025 that will continue to be debated into 2026 (and maybe beyond) is the role of RAG.
The problem is that the original RAG pipeline architecture is much like a basic s [...]
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Alembic Technologies has raised $145 million in Series B and growth funding at a valuation 13 times higher than its previous round, betting that the next competitive advantage in artificial intelligen [...]
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Salesforce launches AI 'trust layer' to tackle enterprise deployment failures plaguing 80% of projects
Salesforce Inc. is expanding its artificial intelligence platform with new data management and governance capabilities, aiming to address what the company says is a crisis in enterprise AI adoption wh [...]
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CES 2026 preview: What we're expecting from tech's biggest conference in January
CES doesn't start until January, but whispers of the products and announcements that could be in store for tech's biggest annual conference have already started to take shape. The CES 2026 s [...]