Remove Management Remove Measurement Remove Uncertainty
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What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

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AI Product Management After Deployment

O'Reilly on Data

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed.

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AI-Enabled Contingency Planning is More Accessible Than Ever

David Menninger's Analyst Perspectives

We live in a time of uncertainty, not unpredictability. Managing an organization in uncertain times is always hard, but tools are available to improve the odds of success by making it easier and faster to plan for contingencies and scenarios. Contingency planning is at the heart of good management.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

With the advent of generative AI, therell be significant opportunities for product managers, designers, executives, and more traditional software engineers to contribute to and build AI-powered software. How will you measure success? So now we have a user persona, several scenarios, and a way to measure success.

Testing 184
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Sustainability: Real progress but also thorny challenges ahead

CIO Business Intelligence

Dealing with uncertain economic environments, which can distract from sustainability issues: Energy prices, price inflation, and geopolitical tensions continue to fluctuate, and that uncertainty can impact focus on environmental sustainability. So far, however, companies seem to be staying the course. Contact us today to learn more.

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The Importance of Agility in FP&A To Manage Uncertainty

Jedox

Times of crisis mean uncertainty, both personally and professionally. In this blog post, we’ll look at the importance of agility in FP&A in being able to better manage uncertainties, even during uncertain times and build resilience for the future. Planning and performance management. Business Continuity.

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You Can’t Regulate What You Don’t Understand

O'Reilly on Data

If we want prosocial outcomes, we need to design and report on the metrics that explicitly aim for those outcomes and measure the extent to which they have been achieved. They were not imposed from without, but were adopted because they allowed merchants to track and manage their own trading ventures.

Metrics 360