AI Today and Tomorrow Series #3: HPC and AI—When Worlds Converge/Collide Welcome to the third entry in this series on AI. The first one was an introduction and series overview and the next discussed ...

About Tabor Communications, Inc. Tabor Communications, Inc. is publisher of a complete advanced computing news and information portfolio that includes HPCwire,BigDATAwire, and AIwire. As the company’s ...

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 ...

Big Data Career Notes for June 2025 It’s that time of month again–time for Big Data Career Notes, a monthly feature where we keep you up-to-date on the latest career developments for individuals 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.

How we store and serve data are critical factors in what we can do with data, and today we want to do oh-so much. That big data necessity is the mother of all invention, and over the past 20 years, it ...

That left the humble metadata catalog as the last piece standing between customers and their dream of a truly open data lakehouse. Databricks’ rival, Snowflake, addressed the potential lock-in of the ...

“So now customers own their own storage, they own their own data, they own their own metadata, and then all the vendors in the ecosystem build around that. And the customer now has the ability to say ...

Dbt isn’t the only vendor to find that data quality is getting worse. Data observability vendor Monte Carlo published a report a year ago that came to a similar conclusion. The vendor’s State of Data ...

In the current tech paradigm, databases run on top of operating systems. But what if that stack was inverted, with an operating system running on top of the database? That’s the idea behind database ...

Additionally, Apache Hive, which marked a huge step forward in big data processing by abstracting away the underlying distributed nature of Hadoop and exposing a familiar SQL (-ish) table abstraction ...

3. Lack of Processing Capacity Not only do users need powerful GPUs to train GenAI models, but they also need them for inference. The huge demand for high-end GPUs from Nvidia has outstripped supply ...