Last year, we saw the integration of gen AI into everything, the rise of AI agents, and the explosion of vibe computing. As this year gathers pace, we'll see agentic AI move from pilots into production, the emergence of AI payments, and AI redef
Companies collect data for years in hopes of someday making use of it. With gen AI, the time has come, but the hard work is just beginning.
CIOs will continue to gain in stature as they take an even bigger lead on AI-powered enterprise transformations.
It's not just security that can be an afterthought when new technologies are deployed. So are governance, observability, and lifecycle management. With agentic AI, that's a disaster in the making.
Enterprise software vendors can see the agentic train coming and are quickly investing to stay ahead of it. For CIOs, the evolution of AaaS will change not just how the tools are used, but how they're priced, integrated, and secured.
From ELIZA to ChatGPT, learn how chatbots are reshaping customer service and IT – and discover guardrails you need for adoption.
As companies move past AI POCs into actual deployment, CIOs are being asked to show concrete ROI to get funding, move money from legacy projects, and brace for the unexpected.
When you deploy a vendor’s AI, who is it really working for? IT leaders and experts offer insights on how to ensure AI aligns with your company’s best interests.
Organizations seeking to better monitor IT assets are turning to artificial intelligence to get ahead of performance issues and to automate fixes before negative impacts are felt.
Most companies are slowly yet deliberately adding AI to improve business operations, building on the systems, people, and customers they already have. AI-first companies, however, rip up that script and rethink everything. It's the riskiest appr
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