In the burgeoning realm of AI and data science, the journey from conception to successful implementation is fraught with complexities. Despite AI's...
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Go Taipy!
This seems like a complete and great package! Is the learning curve steep?
it's as easy as py... :)
Open-source thriving!
This touches on a challenge we see a lot in client projects. AI integration often breaks down not because the models are lacking, but because the transition between data teams, developers, and users is disjointed. As an agency, one of the biggest changes we had to make was treating AI not just as a technical system but as a product that needs thoughtful experience design. The friction usually shows up in two places. First, teams build in silos and expect others to plug things in later. Second, users push back when the interface or flow doesn’t align with how they already work. Solving that means thinking about shared tools and collaborative workflows early, especially at the user interface level, so that people actually use and trust the AI.