A new AHA Market Scan Trailblazers report, sponsored by Concord Technologies, examines how AI — with its ability to quickly ...

Founded in 1977, Oracle is now a $404 billion (by market cap) tech behemoth employing around 140,000 people. See why I rate ...

Industrial AI may be all the rage, but it’s useless-to-dangerous without standardized, relevant data to work from. And yet, ...

A step-by-step guide for DevOps teams on reviewing, testing, and enforcing policy checks on AI-generated SQL before it ...

Data operationalization, complemented by the pragmatic deployment of AI use cases with said data, is, at its core, a move ...

How Float achieved 99.3% compression on 1Hz smart meter data with Tiger Data, enabling real-time AI energy analytics, lower ...

Our client is seeking an experienced Data Architect with strong expertise in modern cloud data platforms, including Azure Databricks, AWS, Snowflake, Azure Synapse, and Azure Data Factory (ADF). The ...

Industry discussions about what’s holding back AI often focus on security, graphics processing unit availability and other infrastructure-level issues, but in most cases, data is what keeps chief ...

While Oracle bulls get excited by the company's enormous cloud computing backlog, bears worry about the spending needed to build out capacity and the return it will get on these infrastructure ...

As its competition takes a break, Google is doubling down on video generation through Gemini, with Omni upgrades for it filmmaker and musician-focused Flow AI tools, as well as dedicated mobile apps ...

Abstract: Distributed deep learning (DL) training constitutes a significant portion of workloads in modern data centers that are equipped with high computational capacities, such as GPU servers.

American technology giants AWS, Google, and Microsoft dominate the global cloud database management systems (DBMS) market.