During a presentation at Nvidia’s GPU Technology Conference (GTC) this week, the director of data science for Walmart Labs shared how the company’s new GPU-based demand forecasting model achieved a ...

PALO ALTO, Calif., Jan. 5, 2021 — TIBCO Software Inc., a global leader in enterprise data, empowers its customers to connect, unify, and confidently predict business outcomes, solving the world’s most ...

The latest news, articles and stories about nOps , including commentary and archival articles published on Datanami.

One of the hottest areas of big data at the moment is log monitoring and its adjacent disciplines, AIOps and cloud observability. The market, which some estimate is worth $17 billion per year, is in ...

2024 marks the ninth year of Datanami’s – now BigDATAwire‘s – People to Watch Program, which recognizes the people who play leading roles in driving innovation in big data, advanced analytics, and AI.

The hottest space in big data at the moment arguably exists between the two pillars of AIOps and observability, where a crush of metric, event, log, and trace (MELT) data threatens to overwhelm IT ...

The National Institute of Standards and Technology (NIST) today published the AI Risk Management Framework, document intended to help organizations voluntarily develop and deploy AI systems without ...

Doubt is creeping into discussion over generative AI, as industry analysts begin to publicly question whether the huge investments in GenAI will ever pay off. The lack of a “killer app” besides coding ...

With $274 billion in revenue last year and $3.3 trillion in assets under management, JPMorgan Chase has more resources than most to devote to building a winning data and AI strategy. But as James ...

AWS has notified customers of its Amazon Aurora Serverless v1 service that it will cease supporting the offering at the end of 2024. Replacing v1 in the Aurora Serverless range, which supports ...

Should you strive to centralize your data, or leave it scattered about? It seems like it should be a simple question, but it’s actually a tough one to answer, particularly because it has so many ...

There are many reasons why Python has emerged as the number one language for data science. It’s easy to get started and relatively forgiving for beginners, yet it’s also powerful and extensible enough ...