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 ...

Getting predictive audience technology right for your company and customers requires thoughtful planning to adhere to consumer privacy laws and expectations. Privacy ...