Key Takeaways Choosing an AI model is only half the decision. The other half is who runs the platform around it, and how those people support the business day to day. Model providers primarily sell access to models, while a managed platform partner answers for performance, troubleshooting, and support. As AI becomes business-critical, organizations...
Key Takeaways Most AI initiatives get stuck when it comes to governance and data issues. Agentic AI makes these challenges even harder because agents can act on business data and systems without someone checking every step. Identity, access, and audit controls carry more weight once AI can take action, and they need to be...
Key Takeaways Shadow AI reflects unmet demand, a gap between employee needs and the tools companies provide. Employees turn to public AI tools to work faster and more efficiently, even when policies ban their use. Restricting AI use doesn't eliminate AI. It only makes it harder to see. Smart AI governance means giving employees...