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Without disciplined executive oversight, ERP programs are likely to derail, putting budgets, timelines, and business outcomes at risk. Here’s how leaders can take control.
Agentic AI is poised to transform business processes at a scale and pace never seen before. But are enterprises prepared to deal with the risks agentic systems pose?
For IT leaders, smarts alone won't cut it. Emotional intelligence and adaptability are now essential for driving innovation, resilience and strategic growth.
Sometimes, even the soundest engineering isn’t sound-enough engineering. So when things go sideways, politics can be a shrewd tool or your undoing.
Register now for CIOu2019s Future of Data Summit to hear from data and analytics leaders from Petco, Vanguard, Travelers, Disney Advertising and others.
As organizations reinvent for the AI era, business leaders say they’re moving toward a new enterprise technology operating model. Here’s how to get started.
Agentic AI is still in its deployment infancy, and while it is an area of high promise, it isn’t without its risks and concerns.
From AI chatbots and virtual assistants, to audio and video generators, these are the frontrunner gen AI tools in use today.
Mike Clifton, CIO turned CEO of the global customer solutions business, offers advice to CIOs on how to get started with AI.
To use AI effectively, businesses need strong governance processes, people-centered priorities, and easy access to learning and development.
Agentic AI might have the possibility to transform how enterprises innovate with data, but connecting disparate data sources with LLMs is a roadblock to innovation. Model context protocol (MCP) has the potential to change that.
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