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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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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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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. I firmly believe continuous learning and experimentation are essential for progress. To do that, Lieberman aims to develop AI capabilities to automate routine tasks.

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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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Experimentation and Testing: A Primer

Occam's Razor

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers. Counter claims?

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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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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.”

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