product management

What Clients Really Ask for in AI Projects

, clients and stakeholders don’t want surprises. What they expect is clarity, consistent communication, and transparency. They need results, but additionally they want you to remain grounded and aligned with the project’s goals as a...

Suggestions for Setting Expectations in AI Projects

AI project to succeed, mastering expectation management comes first. When working with AI projets, uncertainty isn’t only a side effect, it could make or break all the initiative. Most individuals impacted by AI projects don’t...

Data Mesh Diaries: Realities from Early Adopters

weaving its way into the highlight over the past few years, as organizations try to seek out alternatives to centralized data architectures. I’ve had a front-row seat to observe early adopter teams come to...

The Mythical Pivot Point from Buy to Construct for Data Platforms

TL;DR: with data-intensive architectures, there often comes a pivotal point where constructing in-house data platforms makes more sense than buying off-the-shelf solutions. The Mystical Pivot Point Buying off-the-shelf data platforms is a preferred selection for...

Why AI Projects Fail

are notoriously difficult to design and implement. Despite the hype and the flood of recent frameworks, especially within the generative AI space, turning these projects into real, tangible value stays a serious challenge...

AI in Product Management: Leveraging Cutting-Edge Tools Throughout the Product Management Process

Product management stands at a really interesting threshold due to advances happening in the world of Artificial Intelligence. Because the capabilities of AI evolve unceasingly, the standard role of the product manager will probably...

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