Business analytics pioneer and big data visionary, Tom Davenport is the opening keynote speaker at the 2017 Healthcare Analytics Summit. He’s one of the top three business/technology analysts in the world, one of the 100 most influential people in IT, and one of Fortune’s top 50 business school professors.
Davenport knows big data and analytics more than most, having pioneered the concept of “competing on analytics,” which unleashed a worldwide movement to harness the power of analytics to improve organizational performance and establish a competitive advantage. These objectives and capabilities are paramount in healthcare today. In healthcare, an industry known for its complexity (especially when it comes to analytics), Davenport has the ability to make the most complex, sophisticated concepts accessible and applicable.
Davenport’s impressive career—author/editor of 18 books and over 100 articles (some of the first ever written on business analytics); columnist for the Wall Street Journal; President’s Distinguished Professor of Information Technology and Management at Babson College; cofounder of the International Institute for Analytics; fellow of the MIT Initiative on the Digital Economy; and senior advisor to Deloitte Analytics—has culminated with the search for an answer to a pivotal question everyone in healthcare is asking: “What happens to us humans when smart machines make important decisions?”
The answer to this question can be found in Davenport’s groundbreaking books and articles, including “Competing on Analytics: The New Science of Winning” (2007, revised and updated for 2017), “Big Data @ Work: Dispelling the Myths, Uncovering the Opportunities” (2014), “Beyond Automation” (the Harvard Business Review cover article he co-authored with Julia Kirby in 2015), and “Only Humans Need: Apply: Winners and Losers in the Age of Smart Machines” (co-authored with Kirby in 2016). These visionary, pioneering texts offer organizations cutting-edge insights on how they can use analytics and cognitive technologies to their advantage.
When it comes to the impact of smart machines on healthcare, Davenport reframes the automation debate by arguing that augmentation—people and machines working together—can make organizations more efficient while improving, not replacing, people’s jobs. “This seemingly simple terminological shift,” as written in “Beyond Automation,” helps people “see smart machines as partners and collaborators in creative problem solving.” As healthcare organizations become increasingly aware of (and, in many cases, concerned about) the expanding roles of artificial intelligence, predictive analytics, and machine learning in their day-to-day work, Davenport offers reassurance and guidance by helping systems strive to have their work augmented—not automated—by smart machines.
And when it comes to big data, Davenport aims to equip healthcare leaders with an understanding of what it means from a technical, consumer, and management perspective. He’s intent on helping organizations make fact-based, data-driven decisions to achieve the industry’s top goal: improving outcomes.
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