従来のデータ活用では、データウェアハウスへのデータ蓄積とBI(ビジネスインテリジェンス)ツールによる可視化、レポーティングが主流だった。昨今はAIの技術要素が入ったことで、自動化や予測、さらに何かを生成するためにデータが使われる。AIのため ...

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 ...

A core element of any data retrieval operation is the use of a component known as a retriever. Its job is to retrieve the relevant content for a given query. In the AI era, retrievers have been used ...

Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it could expose data, governance, and budget gaps that CIOs can’t ignore.

自社のナレッジ（知識）や文脈を理解するAI（人工知能）システムやAIエージェントを構築する企業にとって、「RAG」（検索拡張生成）は欠かせない存在になりつつある。 ただし、RAGの導入に当たっては、幾つかのポイントを押さえておかなければ、その ...

As the AI infrastructure market evolves, we’ve been hearing a lot more about AI inference—the last step in the AI technology infrastructure chain to deliver fine-tuned answers to the prompts given to ...

Hello and welcome to Eye on AI. In this edition…Nvidia snags the team and tech from AI chip startup Groq…Meta buys Manus AI…AI gets better at improving AI…but we might not know enough about the brain ...