Alex Woodie

“DevOps” is so easy to say. But the simple phrase masks an uneasy tension between development and operations that can lead to poor communication and ultimately poor management of increasingly complex tech stacks. Addressing that DevOps tension and communication gap also happens to be challenge that the founders of an observability startup called Honeycomb aim to solve.

The IT team at Arity are cruising on the homestretch of a big project to load more than a trillion miles of driving data into a new database on Amazon S3. But if it wasn't for a decision to switch out its engine from Spark to Starburst, the project would still be stuck in neutral.

Customers have a lot of options when it comes to building their generative AI stacks to train, fine-tune, and run AI models. In some cases, the number of options may be overwhelming. To help simplify the decision-making and reduce that all-important time it takes to train your first model, Nvidia offers DGX Cloud, which arrived on AWS last week.

Forget Shopping Mall Santa–in 2024, folks who crave a conversation with the big guy but who don't want to travel outside the home can now chat with AI Santa, an interactive experience powered by cutting edge AI models.

Hammerspace CEO David Flynn recently joined the Big Data Debrief, where he discusses the limits of distributed file systems, the changes made to NFS, and the future of data virtualization.

The public release of ChatGPT in November 2022 set off a wave of hype over generative AI (GenAI) unlike anything seen in the technology sector since the introduction of the public Internet. Now, almost two years later, it's clear that generative AI isn't the magic bullet many envisioned, and Gartner has declared that GenAI has officially entered the “

Event Store, a startup that aims to unify streaming data systems and databases, today announced today that it has changed its name to Kurrent to better reflect its goals. The company also announced $12 million in funding, as well as the launch of Kurrent Enterprise Edition.

Forward-thinking retailers are already harnessing artificial intelligence to help them sustain and grow their margins in the face of economic uncertainty, environmental pressures and geopolitical instability. Nevertheless, they will only realize AI's full potential once they apply it holistically across their entire business. Retailers must develop a more strategic and integrated approach to their AI capabilities, focusing on two key levers of business value generation: revenue growth and cost reduction. However, the key is to build data foundations first.

The GenAI revolution has raised expectations for what enterprises can do with data. But it has also exposed some serious shortcomings in how enterprises manage data. That's the backdrop against which we will dig into this batch of big data management predictions.

We live in a world of big data and big compute. But what about big query engines? One of the startups developing software to keep up with big data and big compute is Voltron Data, which is headed by Josh Patterson.