Google’s new Gemini CLI brings AI-powered coding, automation, and workflow management straight into the developer terminal, at no cost for most users. Pilot Gemini CLI to evaluate productivity gains and cost savings before deciding whether to scale enterprise-wide.
OpenAI has, for the first time since GPT-2 in 2019, unleashed two open-weight reasoning models. This growing choice pressures vendors to accelerate innovation and to provide better open (open-weight and open-source) models.
IT leaders who want to deploy AI vehicle scanners should require human-in-the-loop review and clear dispute workflows before any automated damage charge is finalized.
If your team hasn’t locked down cloud object storage defaults (AWS S3, Azure Blob), your sensitive data might be floating publicly. Don’t let a bucket misconfiguration sink your cloud strategy.
MCP (Model Context Protocol) is a universal, open‑source standard that streamlines how AI models connect to data and tools. CIOs and IT leaders should pilot MCP now to avoid tangled spaghetti integrations later, but don’t expect it to solve every AI integration headache out of the box.
ISO/IEC 42001 gives organizations, including SMEs, a structured, certifiable way to align AI governance with ethical, legal, and security expectations. Start laying the groundwork now to demonstrate trustworthiness before it becomes mandatory.
