Remove Experimentation Remove Risk Management Remove Strategy
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10 AI strategy questions every CIO must answer

CIO Business Intelligence

To counter such statistics, CIOs say they and their C-suite colleagues are devising more thoughtful strategies. Here are 10 questions CIOs, researchers, and advisers say are worth asking and answering about your organizations AI strategies. How does our AI strategy support our business objectives, and how do we measure its value?

Strategy 141
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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

As gen AI heads to Gartners trough of disillusionment , CIOs should consider how to realign their 2025 strategies and roadmaps. AI innovation can not and should not exist without parallel investment in governance to ensure its responsible and effective integration, says Henry Umney, MD of GRC strategy at Mitratech.

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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

Experimentation: The innovation zone Progressive cities designate innovation districts where new ideas can be tested safely. This alignment sets the stage for how we execute our transformation.

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Liberty Mutual CIO Monica Caldas on developing a digital-savvy workforce

CIO Business Intelligence

Using a defensive and offensive strategy, we’ve taken decisive steps to ensure responsible innovation. This team addresses potential risks, manages AI across the company, provides guidance, implements necessary training, and keeps abreast of emerging regulatory changes. We’ve structured our approach into phases.

Insurance 120
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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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20 issues shaping generative AI strategies today

CIO Business Intelligence

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. Douglas Merrill, a partner at management consulting firm McKinsey & Co.,

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5 best practices to successfully implement gen AI

CIO Business Intelligence

So many vendors, applications, and use cases, and so little time, and it permeates everything from business strategy and processes, to products and services. So, to maximize the ROI of gen AI efforts and investments, it’s important to move from ad-hoc experimentation to a more purposeful strategy and systematic approach to implementation.

ROI 124