From RAAIS 2017 - Michael Feindt, Founder of Blue Yonder · · TheResearchandAppliedAISummitRAAIS
“These decisions can be driven by actual data and more than 99% of these decisions can be automated — they are repeated decisions which come again and again in similar settings and by automating them companies become smarter and better.”
On , Michael Feindt, Cofounder at Blue Yonder, spoke about automation during RAAIS 2017 - Michael Feindt, Founder of Blue Yonder on TheResearchandAppliedAISummitRAAIS.
At the 2017 RAAIS conference, Michael Feindt, co-founder and chief scientific officer of Blue Yonder, discussed the company's work in vertical AI solutions for supply chain and pricing. Feindt stated that Blue Yonder's systems automate repeated decisions, with more than 99% of such decisions capable of being automated. He said that most of the company's clients hire more people after introducing AI systems because they become more effective and profitable. Feindt described Blue Yonder's approach as using a complete probability distribution for each possible future to optimize decisions including their uncertainty. Feindt cited a case with the UK retailer Morrison's, where 13 million automatic ordering decisions per day led to a more than 30% reduction in shelf-life gaps. He also noted that in one client example, the out-of-stock rate fell from about 7.5% to 0.5% after fully automated decision-making. Feindt emphasized that vertical end-to-end solutions combining domain expertise and machine learning are necessary to solve complicated business problems. He also discussed the company's background, noting that his NeuroBayes algorithm was developed during scientific research at CERN, where he said a decision algorithm implemented on a chip reached a world record of 8 billion intelligent decisions per second.