AI

An EU breakup with US cloud providers

Moreover, many organizations already operate in multicloud or hybrid cloud environments, which makes achieving complete independence logistically and operationally complex. Even if a company...

Rethinking operations in an agentic AI world

Early experiments and enterprise scenarios We’re already seeing glimpses of this future in experimental work. In one project, Reuven Cohen of the Agentics Foundation demonstrated...

Using Valkey on Azure and in .NET Aspire

Using RESP to link Valkey to code .NET Aspire’s existing Redis client will work with Valkey; all you need to do is ensure that you’re...

7 newer data science tools you should be using with Python

Cleanlab is data-model and data-framework agnostic, a powerful aspect of its design. It doesn’t matter if you’re running PyTorch, OpenAI, scikit-learn, or Tensorflow; Cleanlab...

The best Java microframeworks to learn now

import io.javalin.Javalin; public class App { public static void main(String args) { var app =...

Selective retraining helps AI learn new skills without forgetting, study finds

To test whether this problem holds for today’s large multimodal models, the team conducted a controlled evaluation. They trained the selected models on five...

Oracle debuts Iceberg-compatible Autonomous AI Lakehouse to boost enterprise analytics

Focus on flexibility and interoperability The support for Iceberg, as well as a database catalog that unifies data discovery and simplifies metadata management across clouds,...

Oracle targets agentic use cases with AI Database 26ai

“It’s about making AI Agents first-class citizens inside the database,” said Tony Baer, chief analyst at dbInsight. Baer was specifically hinting at the Select AI...

Know your ops: Why all ops lead back to devops

AIops uses AI to detect anomalies and automate IT operations. MLopsmanages the full lifecycle of machine learning models. Finops governs cloud costs and financial accountability. Dataopsapplies devops-style...
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