It's just as critical to personalize the visual elements of marketing as the message served up with it. Since our brains are hardwired for images, personalizing the visual element of a message offers a major opportunity to add value, says, Gary Ballabio, Director of Business Development, Cloudinary. According to an early 2019 Gartner study, two-thirds of B2C marketers said they would be expected to show results from personalization investments in less than a year. Well, time's up – 2020 is here. Like any other part of the marketing mix, personalization efforts must generate increased sales or deeper loyalty – or whichever KPI an organization is working toward – at a return greater than the time and resources they devote to it.

From a business perspective, there may not be a more promising area in tech at the moment than health care, partially because of its significance -- Americans reportedly spent $3.65 trillion on health care in 2018 -- but also because of the incredible advances and opportunities arising from new developments like machine learning and genetic engineering. Artificial intelligence has multitudinous implications for medicine, and the demand is proof: According to a report from CB Insights (via Becker's Hospital Review), health care AI companies raised $846 million from venture capital firms in the second quarter of 2019, an increase of about 13% year-over-year. One sub-segment that fascinates me personally and professionally is "vision intelligence," which we're pursuing in my newest company. This is the ability to diagnose medical scans even more accurately and faster than the human eye. These programs generally use a method called deep neural networks to train computers to recognize images -- a technique many say is inspired by the biological processes of the brain.