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The new data lakehouse is billed as a single platform for multiple use cases including transactional, agentic, decision support, model training and tuning, and more.
Smart organizations will apply a disciplined approach to deploying AI agents. These expert recommendations apply to security, data governance, integrations, quality assurance, and operations.
Most organizations are unaware of how vulnerable their cloud systems have become. Gaps in preparation could cause serious problems as generative and agentic AI create new attack points.
Latest release of Microsoft’s code editor also adds support for Git worktrees and the ability to checkpoint and restore different states of Copilot chat conversations.
Discover best practices that allow data pipelines to scale and support both structured and unstructured data.
The acquisition will enable enterprises to build agents that can leverage real-time data to make better decisions while acting autonomously, the company said.
Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.
Having a ‘vision’ is not enough. Enterprises need clear objectives, solid data, and a design plan with built-in evaluations and humans in the loop.
However, approach with caution: MCP servers are increasingly becoming a new way to hijack systems or launch cyberattacks, research shows.
Using AI agents for coding and business tasks? Here’s what to do, what to avoid, and how to recover when things go sideways.
Analysts see the move as a strategy to increase traction for Claude Code as enterprises scale adoption of AI-based coding agents.
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