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      Paula KleinCreated by Paula Klein on Aug 29, 2012 in Featured Content

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      This post first appeared in my blog, The Business Impact of IT, on October 20. The event was held on October 25, 2014.

       

       

      I’ve been involved with the Boston Book Festival since Deborah Porter founded it in 2009, and it’s become one of my favorite events of the year. And since I had a for-real mainstream published book come out this year (as opposed to a self-published glorified pamphlet) I get to participate this year as a full-fledged author in the session titled “Technology: Promise and Peril

       

      What makes this especially exciting to me is the fact that I’ll share the stage with Nick Carr, who’s one of my favorite writers and thinkers about technology. I don’t praise Nick because I agree with him so often. Over the years, in fact, we’ve pretty reliably argued about some big questions, including whether IT matters for competitive differentiation and whether Google makes us stupid.

       

      This time around promises to be no different. Nick’s new book The Glass Cage made me think a lot, but what I usually thought was “I don’t agree with that.” I do think that today’s breathtaking technological progress is bringing some serious challenges along with it, but they’re not the ones that Nick highlights.

       

      To hear very different views on tech’s promise and peril, I suggest that you come to our session this Saturday at 11 in the Old South Sanctuary on Boston’s Copley Plaza. It’ll also feature as a panelist David Rose, whose new book Enchanted Objects: Design, Human Desire, and the Internet of Things is, for obvious reasons, on my short-term reading list. WBUR’s Sacha Pfeiffer will moderate.

      Recent advances in the impact of deep learning are finally allowing computers to see, hear and read with increased precision. These long-awaited achievements—like those in robotics and automation--are being celebrated by computer scientists, but they also have implications for the economy and society. Jeremy Howard addressed both the technical and societal issues at a recent MIT IDE seminar.

       

      Machine learning’s history goes back to 1956 when computers amazed the public because they could play against --and in 1962, beat--a human player at checkers. With continual breakthroughs in machine learning over the decades, Howard said that it’s now widely used and “creepily good” at finding your friends and beating humans at highly sophisticated intellectual pursuits such as Jeopardy.

       

      Howard should know. He was ranked Number 1 in data science competitions globally in 2010 and 2011, and became President and Chief Scientist at Kaggle, where data scientists compete to answer problems using predictive analytics and machine learning algorithms.

       

      Deep Learning = Good Medicine?

      As deep learning--the evolution of neural networks and artificial intelligence--greatly improved, it has also incorporated more precise speech and object-recognition capabilities. To pursue these new fields, Howard left Kaggle in August to launch Enlitic.com; he now serves as CEO.

      enlitic.jpg

      Enlitic uses recent advances in machine learning “to make medical diagnostics faster, more accurate and more accessible to medical staff and patients.” The company's mission is “to provide the tools that allow physicians to utilize the vast stores of medical data collected today, regardless of what form they are in--such as medical images, doctors’ notes and structured lab tests.”

       

      This computing approach involves training systems, called artificial neural networks, on huge amounts of information derived from audio, images and other inputs, and then presenting the systems with new information and receiving inferences in response. Howard (foreground, in photo) wants to mine medical data in this way and provide easy-to-use applications for health care professionals.


      For instance, “there are new ways to think about tumors” that borrow from Kaggle’s analytical and machine-learning methods, Howard said at the MIT IDE seminar. Assumptions can be made by machines based on pathology analysis that are sometimes more accurate—and objective--than human results. Ultimately, however,

      Howard expects that the best diagnoses will result from a combination of humans and machines; where machines crunch the data and humans add history and human interaction to the mix.


      Policy Discussions Needed

      While the technological strides are apparent, Howard acknowledged the potential labor impact that will result from deep learning in the next decade as computers take on more jobs and displace workers. Drawing similar conclusions to those of MIT’s Erik Brynjolfsson and Andrew McAfee, as described in their latest book, the Second Machine Age, Howard said: “As human perception and judgment are replaced, and machine learning grows exponentially, policy discussions are needed about basic living wages and technological unemployment.”

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      According to Enlitic, each year since 2010, the Imagenet competition has been the proving ground for state-of-the-art computer vision algorithms. The past three years have seen striking improvements in accuracy.


       





      In addition to his current role as CEO of Enlitic and his former role with Kaggle, Jeremy Howard is on the faculty at Singularity University. He was recently a Distinguished Research Scientist at the University of San Francisco, and he advises Khosla Ventures as their data strategist. Howard founded two successful start-ups – the e-mail provider FastMail and the insurance pricing algorithm company, Optimal Decisions Group – both of which grew internationally and were sold to large international companies. He started his career in management consulting, including at McKinsey & Co. and AT Kearney, where he built a new global practice in what is now called “Big Data”.

      Follow his blog here.

      More

      The Second Machine Age: Challenges for CXOs

      Erik Brynjolfsson, co-author of the book The Second Machine Age, discussed with I-CIO the profound impact of automation on every industry and how CXOs must play a key role--now.


      Andrew McAfee on Technology and the American Workforce

      On the PBS NewsHour last April, Andy McAfee spoke about how increased use of technology does play a role in the current disappointing job growth statistics.




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