Alex Woodie is the managing editor of BigDATAwire (formerly Datanami).

Can $156M Help Observe Redefine Observability for the AI Era? The gold rush for AI has created an invisible side effect: an explosion of telemetry data that threatens to overwhelm the very systems ...

The problem is wasteful supply chains clogged with excess inventory and defective parts. The goal is creating “perfect flow” for manufacturers and retailers to reduce waste running into the ...

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 ...

Google Cloud introduced several more uses for Duet AI, the AI interface unveiled earlier this year. Data engineers will be singing duets with integrations for BigQuery, AlloyDB, and Cloud Spanner, ...

As expected, President Joe Biden today issued an executive order on the adoption of artificial intelligence (AI) and the protection of sensitive data.

Databricks today rolled out a new open table format in Delta Lake 3.0 that it says will eliminate the possibility of picking the wrong one. Dubbed Universal Format, or UniForm, the new table format ...

As is often the case, neither camp is completely correct. And while predictions about the trajectory of novel technologies are often flawed, these tech sectors would be wise to take some important ...

Snowflake is holding its Data Cloud Summit 24 conference next week, and the company is expected to make a slew of announcements, which you will be able to find on these Datanami pages. But among the ...

Despite the availability of better tools and technology, the quality of data is getting worse, according to a new report issued by data observability provider Monte Carlo. The instances of bad data ...

On the other hand, data modeling has been a timeless warrior, empowering data teams, from novices to experts, to navigate the dense and intricate jungle of data. But if data modeling were the ultimate ...

The goal with NIM is to reduce the amount of integration and development work companies must perform to bring all of these moving parts together into a deployable entity. This will let companies move ...