Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.

Explore the future of decentralized AI and edge computing: enhance privacy, reduce latency, and empower self-reliance with local processing.

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

Indianapolis IT Firm Offers SQL Server Management and Microsoft Data Stack Integration Indianapolis, United States - ...

Alteryx, Inc., an AI-ready data and analytics company, is expanding its cloud-native analytics capabilities with Live Query for Snowflake-enabling organizations to execute data transformation, ...

New report highlights how Alteryx and Snowflake help teams scale governed analytics and AI where their data lives, enabling ...

Big data management startup Komprise Inc. said today it’s introducing a major update to its platform with the launch of ...

Qualcomm's data center entry analyzed: how the Modular acquisition, HBC memory architecture, and Arm-based C1000 CPU ...

Industry discussions about what’s holding back AI often focus on security, graphics processing unit availability and other ...

The explosive rise of generative artificial intelligence (AI) has kicked off an unprecedented technological infrastructure boom. Behind seamless text generation, automated coding and multimodal AI ...

At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...

Open-Source AI Tools while not widely publicized, are highly regarded within the developer community for their ability to simplify complex tasks ...