95% 𝐨𝐟 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐩𝐢𝐥𝐨𝐭𝐬 𝐚𝐫𝐞 𝐟𝐚𝐢𝐥𝐢𝐧𝐠. 🤯 Let that sink in.
This statistic, cited in a recent MIT report, should be a massive red flag for every Pro and College basketball executive green-lighting an analytics project.
The problem isn't the AI models themselves. It's a "𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐠𝐚𝐩" within organizations and a flaw in enterprise integration. You can have the most sophisticated ML model for player load management, but if your coaching staff or front office can't properly integrate it, it's just code on a shelf.
The failure is not technical. It's 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐚𝐥.
What is the single biggest non-technical hurdle your organization faces when trying to get real value from a new analytics or AI tool?