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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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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

Driving a curious, collaborative, and experimental culture is important to driving change management programs, but theres evidence of a backlash as DEI initiatives have been under attack , and several large enterprises ended remote work over the past two years.

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When is the right time to dump an AI project?

CIO Business Intelligence

If they dump a pilot that’s not meeting expectations too soon, they may miss out on huge benefits down the line, but if they hang on too long, they can waste huge amounts of time, money, and resources. On the one side, Forrester recently warned organizations not to look for AI ROI too soon, because they could miss out on AI’s benefits.

ROI
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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.

IT
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Go vs. Python for Modern Data Workflows: Need Help Deciding?

KDnuggets

A Workflow Built for Experimentation You can load data, perform transformations, visualize results, and build models without switching contexts. In cloud environments where compute costs directly impact your budget, this efficiency translates to meaningful savings, especially for high-volume data processing workloads. Go or Python?

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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