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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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Build a strong data foundation for AI-driven business growth

CIO Business Intelligence

Data silos, lack of standardization, and uncertainty over compliance with privacy regulations can limit accessibility and compromise data quality, but modern data management can overcome those challenges. The goal of modern data management is not to make data pristine.

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Navigate AI market uncertainty by bringing AI to your data

CIO Business Intelligence

While hyperscalers would prefer you entrust your data to them again the concerns about runaway costs are compounded by uncertainty about models, tools, and the associated risks of inputting corporate data into their black boxes. As a result, organizations migrated workloads to on-premises estates, hybrid environments, and the edge.

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IT Leadership Agrees AI is Here, but Now What?

IT leaders are experiencing rapid evolution in AI amid sustained investment uncertainty. This whitepaper offers real strategies to manage risks and position your organization for success. As AI evolves, enhanced cybersecurity and hiring challenges grow.

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Only engaged service teams can deliver next-level customer loyalty in an era of uncertainty

CIO Business Intelligence

So how can service leaders manage their teams in a way that helps scale through disruption alongside growing demand, while minimizing the negative effects of service team displacement? Workforce management has always been about efficiency and ensuring teams are as productive as possible. That has to change.

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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.