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 [...]
2025-11-14
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 [...]
2025-10-29
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 [...]
2025-10-23
Research finds that 77% of data engineers have heavier workloads despite AI tools: Here's why and what to do about it
Data engineers should be working faster than ever. AI-powered tools promise to automate pipeline optimization, accelerate data integration and handle the repetitive grunt work that has defined the pro [...]
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 [...]
2025-03-30
Study finds that fewer documents can lead to better performance in RAG systems
Researchers at the Hebrew University of Jerusalem have discovered that the number of documents processed in Retrieval Augmented Generation (RAG) affects language model performance, even when the total [...]
2025-02-28
Engadget Podcast: iPhone 16e review and Amazon's AI-powered Alexa+
The keyword for the iPhone 16e seems to be "compromise." In this episode, Devindra chats with Cherlynn about her iPhone 16e review and try to figure out who this phone is actually for. Also, [...]