Most predictive AI projects neglect to estimate the potential profit – a practice known as ML valuation – and that spells project failure. Here’s the how-to. To be a business is to constantly work ...

Auto dealers today are under constant pressure to operate more efficiently, forecast more accurately, and make faster, data-driven decisions. From inventory management to customer engagement, ...

Zubel: In terms of analytics and AI, faster clinical data monitoring is already achievable. Predictive modeling is improving, but accuracy remains a challenge, particularly in oncology.

Predictive AI routinely fails to deploy, so data scientists are spearheading a movement to focus on its business value. But stakeholders need a better understanding. Most predictive AI projects fail ...