Key Takeaways Portfolios must include real business problems to show problem-solving abilityTools like SQL, Python, and ...

Computerwoche's Martin Bayer sat down with Thorsten Hermann, SVP technology and Germany country leader, at Oracle to discuss ...

Bhargav Kumar Konidena significantly contributes to Apache Iceberg, Beam, and Helm, enhancing data workflows and DevOps with ...

Data scientists will get access to what Google calls a “reimagined” AI-first Colab Enterprise Notebook experience available ...

Google's new agents aren't chatbots. They're autonomous problem-solvers for the enterprise. Here's how they integrate with ...

AI has prevented real-world cyberattacks before they could begin, proving AI fast enough to beat human threat actors to ...

Cassie Shum, VP of Field Engineering at RelationalAI, joins host Keith Shaw on DEMO to showcase how enterprises can unlock ...

Why does enterprise AI stall at scale? Leaders from Salesforce, IBM and Snowflake say the answer lies in how your data moves ...

Data science techniques are the tools in a data scientist's toolbox — each one suited to a specific kind of problem. Whether it's sorting, predicting, or discovering hidden patterns, there's a method ...

Another tremendous quality-of-life improvement comes via Kagi's image search, which does a bunch of stuff that Google should ...

The need for efficiencies after mergers and acquisitions affects all IT operations. But data storage also raises issues ...

Microsoft and AWS each made up roughly 30 to 40 percent of the Brit cloud market in 2024, it estimates. Google, the third big ...