CES 2020: Experts Consider Cybersecurity For Smart Cities

The smart city was the topic of a CES conversation moderated by Strategic Cyber Ventures chief executive Hank Thomas, whose expertise was gained in relevant military and government work. Columbus, Ohio won the U.S. Department of Transportation’s first Smart City Challenge, and Smart Columbus director Jordan Davis reported that this win came with $50 million in grant funding, which was matched locally. “There is no clear definition of what a smart city is,” Davis noted. “But seamless connectivity is the ideal.” Continue reading CES 2020: Experts Consider Cybersecurity For Smart Cities

McDonald’s Uses Machine Learning to Modernize its Menus

McDonald’s is buying Dynamic Yield, an Israeli startup decision-logic technology company, for $300+ million with the aim of better personalizing its menus. The technology will let restaurants vary their electronic menu displays depending on the weather, time of day or regional preferences — and suggest meal add-ons. McDonald’s serves about 68 million customers every day, the majority of whom use the drive-thru window. Chief executive Steve Easterbrook has pushed technology to drive sales and lift the company’s profile. Continue reading McDonald’s Uses Machine Learning to Modernize its Menus

Nielsen Debuts Overnight Screening Tool to Test Product Ideas

Nielsen is rolling out a new tool to provide fast-moving consumer goods manufacturers (FMCG) with analysis about what ideas have higher probability of in-market success. According to Nielsen exec Kevin Daly, Quick Screen was developed as a cost-effective solution for the “second-tier” product innovation level. The tool questions consumers (who identify with specific product categories) to determine the relative strength of proposed ideas. Predictive analytics then evaluate the data to identify levels of potential in-market success. Continue reading Nielsen Debuts Overnight Screening Tool to Test Product Ideas

Zendesk Customer Service Product Built on Machine Learning

Zendesk is introducing Automatic Answers, a service that answers a business’s emails from customers, without human intervention. But it’s far more sophisticated than today’s well-known auto-responders, having been built on a machine-learning platform that in-house data scientists and engineers have been developing for some time. The platform is also used for another Zendesk service, Satisfaction Prediction, which helps determine the customer experience. Automatic Answers will be rolled out later in the year. Continue reading Zendesk Customer Service Product Built on Machine Learning