Keynote: IBM Chief Uses Case Studies to Explain Deep Data

IBM chair, CEO and president Ginni Rometty made her second CES keynote appearance and focused on artificial intelligence, big data, quantum computing, and closing the skills gap in computer science in a series of onstage conversations. Rometty drew a distinction between big data and deep data as she explained that there is a tremendous amount of information collected for specific analysis, but there is a wealth of analytical and predictive opportunity yet available. As an example, she cited analysis of fingernails as a means of predicting health issues or weather data to better forecast mid-air turbulence. Continue reading Keynote: IBM Chief Uses Case Studies to Explain Deep Data