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IDC chief research officer: GenAI, from experimentation to adoption

CIO Business Intelligence

Its been a year of intense experimentation. Now, the big question is: What will it take to move from experimentation to adoption? The key areas we see are having an enterprise AI strategy, a unified governance model and managing the technology costs associated with genAI to present a compelling business case to the executive team.

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9 IT resolutions for 2025

CIO Business Intelligence

And ensure effective and secure AI rollouts AI is everywhere, and while its benefits are extensive, implementing it effectively across a corporation presents challenges. CIOs are an ambitious lot. To ensure his team can meet the challenges that such growth brings, he has doubled his IT staff and invested in upskilling his team.

IT 140
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The key to operational AI: Modern data architecture

CIO Business Intelligence

To fully benefit from AI, organizations must take bold steps to accelerate the time to value for these applications. While in the experimentation phase, speed is a priority, the implementation phase requires more attention to resiliency, availability, and compatibility with other tools. This is where Operational AI comes into play.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI. CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns.

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How to Set AI Goals

O'Reilly on Data

AI Benefits and Stakeholders. AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI-generated benefits can be realized by defining and achieving appropriate goals.

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CIOs to spend ambitiously on AI in 2025 — and beyond

CIO Business Intelligence

Amazon Web Services, Microsoft Azure, and Google Cloud Platform are enabling the massive amount of gen AI experimentation and planned deployment of AI next year, IDC points out. This is the easiest way to start benefiting from AI without needed the skills to develop your own models and applications.”

ROI 137
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Bringing an AI Product to Market

O'Reilly on Data

Without clarity in metrics, it’s impossible to do meaningful experimentation. If you’re an AI product manager (or about to become one), that’s what you’re signing up for. Identifying the problem. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about.

Marketing 364