Skip to content 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 want results, but ...
Read more Tips for Setting Expectations in AI Projects
AI project to succeed, mastering expectation management comes first. When working with AI projets, uncertainty isn’t just a side effect, ...
Read more Data Mesh Diaries: Realities from Early Adopters
weaving its way into the spotlight over the past few years, as organizations try to find alternatives to centralized data ...
Read more The Mythical Pivot Point from Buy to Build for Data Platforms
TL;DR: with data-intensive architectures, there often comes a pivotal point where building in-house data platforms makes more sense than buying ...
Read more Why AI Projects Fail | Towards Data Science
are notoriously difficult to design and implement. Despite the hype and the flood of new frameworks, especially in the generative ...
Read more 
