CES 2020: How Keynotes Will Impact the 2020 Conversation

Are CES keynote presentations and conference programs a crystal ball to the future? Do they shape the conversation and influence the trends that will ultimately emerge from the annual tech and innovation gathering that begins this Sunday, January 5 in Las Vegas? Or are they a calculated mix of corporate hype and politics supporting the agenda of the Consumer Technology Association (CTA), owner of CES? In our experience at CES, especially the most recent years, the answer tends to be all of the above. The keynote lineup is remarkable this year for what is not on the stage as much as who is. The new decade dawns with an emphasis on ways to apply technology and innovate on the advances predicted for the past 20 years. Continue reading CES 2020: How Keynotes Will Impact the 2020 Conversation

ETC@USC Gears Up For January’s CES 2020 in Las Vegas

When CES 2020 opens on January 7 in Las Vegas, it is almost certain that entertainment will be taking center stage. Where emerging technologies have disrupted media and entertainment on a rollercoaster of change for the past few decades, today’s M&E companies are harnessing technologies, driving innovation, and emerging as disruptors themselves. The days of entertainment as a CES sideshow and a way to light up screens to sell TVs are over. Our team of reporters will be at CES again this year covering the latest news from keynote addresses, product demos and related events. Continue reading ETC@USC Gears Up For January’s CES 2020 in Las Vegas

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