Example of the HYPE about AI and ML– we see it almost EVERY DAY now in the news and social media; here is an example pulled from “One moment in time” on a day in early July 2019:
AI and ML dominate the news including LinkedIn – 7/6/19 (Saturday) pulled from LinkedIn – They do a daily notification on their “DAILY RUNDOWN” newsfeed. The following is just an example, but indicative of how prevalent this subject is in professional news cycles. There are 5 headlines and 4 of the 5 are related to the topics in this book. (www.linkedin.com/pulse/breakthrough-hiv-research-tech-takes-beatles-more-top-rundown-us-/)
Scientists claim they have cured nine mice of HIV for the first time in history, according to a new study (Dash, PK; Kaminski, R; Gendelman et al., 2019). The researchers from Temple University and the University of Nebraska Medical Center used a combination of CRISPR gene-editing technology and an antiretroviral therapy called LASER ART to kill the virus. One of the doctors who coauthored the report called it a “major breakthrough.” About 1.1 million people in the U.S. live with HIV (Turner, 2019), which is a virus that attacks the body’s immune system and if left untreated, can turn into AIDS.
Breaking down the Beatles: Paul McCartney and John Lennon wrote some of the most famous songs in history, yet for the songs where they are listed as coauthors; it is not clear who wrote what. With the help of a machine, a team of researchers from Harvard and Canada’s Dalhousie University developed a system where they were able to correctly differentiate Lennon’s tracks from McCartney’s with 76% accuracy. They then applied this model to eight songs or fragments of songs whose authorship is a bit murky.
Fewer American teens are getting jobs. Over the past nearly two decades, teenage labor force participation has dropped significantly – 15.9% between 2000 and 2018, according to research compiled by the Brookings Institute (Glickman, Brown, and Song, 2019). Fewer teens (16- to 19-year-olds) are seeking summer employment, and they’re also becoming less likely to double up on school and work during the academic year. “The intensity of high school may have increased in ways that have helped crowd out non-school activities,” per Brookings.
No Amazon? No problem for Long Island City. The Queens neighborhood, according to real estate data acquired by Vox (Molla, 2019), leased more commercial property in the first half of 2019 than it has in any year since such data started to be recorded. Last November, Amazon tapped Long Island City to be the location of its second headquarters (HQ2). And although protests forced the e-commerce giant to scrub its plans, the activity still “functioned as a giant advertisement” (Molla, 2019) for the New York neighborhood.
AI is poised to play a bigger role in healthcare, from speeding up drug development to helping to diagnose disease. But to do so, it needs data (and lots of it). According to the World Health Organization (Wall, 2019), AI can currently only access 20% of global medical data. And while making more available could spur innovation and help overcome resource shortages, it also requires trust – that patient data “won’t be used for commercial reasons without their consent or to discriminate against people,” WHO chief scientist Soumya Swaminathan tells the BBC (Wall, M., 2019).
And you see it all over the Internet. Credible analyst firms and premier management consulting firms are supporting the new wave, a tsunami into AI, data science and analytics. According to a Forrester Research report from 2017 published in Forbes (see Press, 2016). “AI-driven enterprises will steal 1.2 trillion from competitors by 2020.” That is a pretty bold claim, but they are not the only research firm making these kinds of predictions. In a 2018 report titled Notes from the AI frontier: modeling the impact of AI on the world economy (see Bughin et al., 2018), McKinsey and Co. analyzed 400 use cases in 19 different industries to understand the broad use and significant economic potential of deploying advanced deep learning AI techniques. It found that companies with faster AI adoption and absorption (Front Runners) are creating big economic gains.