Explore the top AI tools and essential skills every data engineer needs in 2025 to stay ahead—covering data pipelines, ML integration, cloud platforms, and automation.

“As the only fully licensed, construction-ready modular reactor available today, our AP1000 technology is the quickest way to ...

The open lakehouse integrates with Vertex AI, Google Cloud's fully managed, unified AI development platform, to fuel Google's AI platform. Governed, cataloged data provides trusted input for training ...

Google has released an open-source tool that lets large language models like Gemini connect to Google Analytics, enabling ...

While data science and AI get the spotlight, data engineering is the unsung hero behind successful AI systems. Let’s explore why data engineering is the backbone of AI: 1.

New Data Manager tools: A centralized hub helps marketers gather, store, and activate first-party data from any source using privacy-first tech like confidential computing.

A startup called TensorStax says it’s looking to bring artificial intelligence-powered automation to the unyielding world of data engineering after raising $5 million in seed funding.. Today’s ...

InfoQ Homepage News Google Releases LMEval, an Open-Source Cross-Provider LLM Evaluation Tool AI, ML & Data Engineering Google Releases LMEval, an Open-Source Cross-Provider LLM Evaluation Tool ...