, 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...
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...
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...
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...
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...
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...