As coronavirus disrupts business operations, enterprises need to pivot their supply chains and are looking to AI for help. In this article, causaLens CEO Darko Matovski talks to TechTarget about the shortcomings of traditional machine learning when faced with big disruptions like coronavirus.
Machine learning and many predictive technologies rely on historical data to make next-best action decisions. That approach doesn’t work when events like COVID-19 occur, argued Darko Matovski, CEO and co-founder of causaLens, a London-based vendor of autonomous predictive technology. His company’s tech uses time-series and dynamic systems rather than past events to predict outcomes.TechTarget’s News Director, Shaun Sutner