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Practical Skills for The AI Product Manager

O'Reilly on Data

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products. The AI Product Pipeline.

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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

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Data Strategy: The Missing Link in Your Digital Transformation Plan

Smart Data Collective

With our example of a financial solution, you may have brought it in to help manage invoices — which is great. All those invoices have reams and reams of valuable data that you can use to create reports, forecasts and direct management decisions. Why Are We so Focused on Data Strategy? But think about it.

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The Unexpected Cost of Data Copies

Read this whitepaper to learn: Why organizations frequently end up with unnecessary data copies. How replicated data increases costs and impacts the bottom line. How a next-gen data lake can halt data replication and streamline data management. What to consider when implementing a "no-copy" data strategy.

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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose. In fact, a data framework is critical first step for AI success. There is, however, another barrier standing in the way of their ambitions: data readiness.

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The data flywheel: A better way to think about your data strategy

CIO Business Intelligence

This article was co-authored by Duke Dyksterhouse , an Associate at Metis Strategy. Data & Analytics is delivering on its promise. Some are our clients—and more of them are asking our help with their data strategy. If you’ve defined your problem well, you’ll know what that data is, which is key.