Ditch the data scientists and weaponize your data with AI tech (VB Live)

Join this VB Live webinar to learn about the five biggest mistakes companies make when they bring cutting-edge customer service technology to their workflows, and how to leap over these pitfalls and into real results. Most business leads are aware of the importance of AI, says Michael Butler, head of customer success at Ople, but often don't know how to get started – or if an investment in AI technology is the smartest route to stacking up real ROI. Previously, as director of global ecommerce at VMWare, he was relying entirely on his data science team, Butler says. The team consisted of about 35 people on staff full time, and the problem was that they were slow to produce models and results. For instance, coming up with a model to score customers most likely to buy a new release would take six weeks; when an anniversary sale came along, it would take another six weeks, starting from scratch each time. It should take a matter of days, if not hours, Ople thought.