Remove Cost-Benefit Remove Experimentation Remove Risk Remove Testing
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How Svevia connects roads, risk, and refuse through the cloud

CIO Business Intelligence

But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested. This leads to environmental benefits and fewer transports. Digital alerts Another project deals with slow-moving vehicles, something that increases the risk of accidents on the roads.

Risk 89
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? encouraging and rewarding) a culture of experimentation across the organization. Test early and often. Test and refine the chatbot. Expect continuous improvement.

Strategy 289
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Bringing an AI Product to Market

O'Reilly on Data

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Without clarity in metrics, it’s impossible to do meaningful experimentation. Ongoing monitoring of critical metrics is yet another form of experimentation.

Marketing 362
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Accelerating Cost Reduction: AI Making an Impact on Financial Services

Cloudera

In the ever-evolving landscape of the financial services Industry, change is a constant and transformation is a requirement — to stay at pace with new regulations, risk mitigation, and the technological developments that support transformation.

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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. What Is Model Risk?

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3 key digital transformation priorities for 2024

CIO Business Intelligence

Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control. If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.