2025-11-04
Snowflake builds new intelligence that goes beyond RAG to query and aggregate thousands of documents at once
Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document repositories. The culprit isn't model quality but architecture: Traditional retrieval augmented generation (RAG) systems were designed to retrieve and summarize, not analyze and aggregate across large document sets.
Snowflake is tackling this limitation head-on with a comprehensive platform strategy announced at its BUILD 2025 conference. The company unveiled Snowflake Intelligence, an enterprise intelligence agent platform designed to unify structured and unstructured data [...]
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2025-11-06
Why Google’s File Search could displace DIY RAG stacks in the enterprise
By now, enterprises understand that retrieval augmented generation (RAG) allows applications and agents to find the best, most grounded information for queries. However, typical RAG setups could be an [...]
2025-12-16
With 91% accuracy, open source Hindsight agentic memory provides 20/20 vision for AI agents stuck on failing RAG
It has become increasingly clear in 2025 that retrieval augmented generation (RAG) isn't enough to meet the growing data requirements for agentic AI.RAG emerged in the last couple of years to bec [...]
2025-11-14
Databricks: 'PDF parsing for agentic AI is still unsolved' — new tool replaces multi-service pipelines with single function
There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology fr [...]
2025-12-02
Metroid Prime 4: Beyond review: an excellent modernization, but not a total reinvention
It’s been 18 years since the last Metroid Prime game, but I felt right at home in Metroid Prime 4: Beyond. Almost too at home. Whether fighting my way through a volcano, exploring a research base in [...]
2025-12-04
GAM takes aim at “context rot”: A dual-agent memory architecture that outperforms long-context LLMs
For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning [...]
2025-10-29
The missing data link in enterprise AI: Why agents need streaming context, not just better prompts
Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time.The challenge is infrast [...]
2025-11-16
From shiny object to sober reality: The vector database story, two years later
When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing [...]
2025-10-27
Anthropic rolls out Claude AI for finance, integrates with Excel to rival Microsoft Copilot
Anthropic is making its most aggressive push yet into the trillion-dollar financial services industry, unveiling a suite of tools that embed its Claude AI assistant directly into Microsoft Excel and c [...]