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In this issue: AI is requiring a reset for CIOs and other IT leaders in how they lead both their technical and business strategies and execution approaches. Here, we explore some of the implications of artificial intelligence on IT leadership.
Better equipped to deliver business-specific AI apps, small language models (SLMs) could soon outpace LLM use in the enterprise, thanks to their agile, cost-efficient, task-targeted nature.
Building transformation offices that function like integration management offices will give your organization the mandate, structure and leadership to drive real change.
Register now for CIO’s Future of Work North America Summit to hear from technology leaders from Aflac, Principal Financial Group, Ceridian, and others.
Tech-forward execs share how they tap agentic AI to automate tedious tasks and supercharge business-critical activities.
The lack of a standard description of agentic AI may lead to CIOs buying the wrong AI tool or paying more for a product that doesn’t work as advertised.
Business growth has become a CIO imperative, and revenue-minded IT leaders are fostering customer-focused cultures, cross-functional teams, and product-based approaches to deliver.
Enterprise data can be a hidden treasure trove. Here’s how to safely monetize it by zeroing in on actionable value and guarding against common risks.
In the AI era, organizations are relying on analytics to drive business efficiencies and generate new revenues. but only 24% of IT leaders tell us they are confident in the data on which their organization relies.
High failure rates and low returns of homegrown AI pilots are accelerating a shift to commercial, off-the-shelf solutions as software vendors roll more AI functionality into their products.
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