How much digital content do you consume live? Be it a regular TV or Movie show, podcast of YouTube episode, just about everything outside of the live local news, am radio, and big events (and even those, I usually DVR to get some fast-forward time in cue). The triad of creation, distribution, and consumption are no longer bound by time and space. Not for everything, nothing like the shared experience at a live show. But for most of the things we watch, read, and listen too, it's not synchronous, appointment consumption.

A decade ago, just three of the 2,500 students enrolled in leadership and organizational change professor Brian Uzzi's classes knew about machine learning. Five years ago, three became 10%, and now, this topic is "the number one thing all students want to learn about," Uzzi says. Machine learning is definitely a hot topic these days, and both Uzzi and management and organizations professor Adam Pah (left), who together have been studying machine learning for more than two decades, have some ideas about its benefits, pitfalls and vast potential. Pah: In the common sphere, the terms "machine learning" and "artificial intelligence" are used pretty interchangeably. I think of artificial intelligence as a nonhuman entity performing a task with what would appear to be the intelligence of a human.

HANOI – A researcher in Vietnam has demonstrated how he apparently fooled Apple Inc.'s face recognition ID software on its new iPhone X using a mask made with a 3D printer, silicone and paper tape. An announcement on Friday by Bkav, a Vietnamese cybersecurity firm, that it had cracked Apple's Face ID, and a subsequent video apparently showing an iPhone being unlocked when pointed at a mask, were greeted with some skepticism. Ngo Tuan Anh, Bkav's vice president, gave Reuters several demonstrations, first unlocking the phone with his face and then by using the mask. It appeared to work each time. However, he declined to register a user ID and the mask on the phone from scratch because, he said, the iPhone and mask need to be placed at very specific angles, and the mask to be refined, a process he said could take up to nine hours.

John McCarthy coined the term Artificial Intelligence in 1955. Since then, the AI industry at large has seen dramatic ups and downs -- progress and promise mixed with disappointment and disillusion. But now with the convergence of Megatrends on massive data, lightning fast processing speeds, and renewed competitive fever from the American MAFIA (Microsoft, Alphabet, Facebook, IBM, Amazon), AI is poised to cause disruption on a scale that could surpass the Internet itself. As we prepare for a wave of AI first companies (@sundarpichai) and AI natives (Ryan Hoover), every person in the innovation economy will need to understand how AI will (or will not) change their industry and their lives. These titans shape the conversation and have the most ability to move the entire AI industry.