Databricks offers Python developers a powerful environment to create and run large-scale data workflows, leveraging Apache Spark and Delta Lake for processing. Users can import code from files or Git ...

Put simply: these agents can be created and accessed from ChatGPT, but users can also add them to third-party apps like Slack ...

Google Cloud introduced a new AI agent platform, updated data architecture, and eighth-generation TPUs at Next 2026.

AWS introduced a managed harness in Amazon Bedrock AgentCore that deploys autonomous AI agents in three API calls, alongside ...

That’s according to recent reports from SentinelOne and Fortinet. Meanwhile, AI speeds up attacks, automating exploits and creating deepfakes that hit faster than ever. You deal with prompt injection ...

Google Cloud Next 2026 unveiled a new $750 million partner fund, Gemini Enterprise Agent Platform, next-gen Tensor Processing ...

Mistral AI launches Workflows, a Temporal-powered orchestration platform for enterprise AI that automates mission-critical ...

Automation in Databricks is transforming how data teams build, deploy, and maintain pipelines. From CI/CD best practices to AI-driven orchestration, modern tools are cutting manual work and boosting ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

AI isn't failing enterprises. Workflows are. Why bolting prompts onto SOPs breaks, what real AI workflow design requires, and ...