And again… if you read one Artificial Intelligence article this month, make it this one. I highly value Erik Brynjolfsson since I saw his TED talk (here is also a great recap and interview with him in the NPR TED Radio Hour “The Digital Industrial Revolution”). Together with with fellow MIT principal research scientist Andrew McAfee he draws a sharp and easy to grasp picture of what machine learning is really capable of today and what the outlook for the future is. This is really worth your time, providing first class insights into “no bullshit” artificial intelligence state of the nation. Here’s an intro… follow the link at the end of this post for the full article on Harvard Business Review:
“For more than 250 years the fundamental drivers of economic growth have been technological innovations. The most important of these are what economists call general-purpose technologies — a category that includes the steam engine, electricity, and the internal combustion engine. Each one catalyzed waves of complementary innovations and opportunities. The internal combustion engine, for example, gave rise to cars, trucks, airplanes, chain saws, and lawnmowers, along with big-box retailers, shopping centers, cross-docking warehouses, new supply chains, and, when you think about it, suburbs. Companies as diverse as Walmart, UPS, and Uber found ways to leverage the technology to create profitable new business models.
The most important general-purpose technology of our era is artificial intelligence, particularly machine learning (ML) — that is, the machine’s ability to keep improving its performance without humans having to explain exactly how to accomplish all the tasks it’s given. Within just the past few years machine learning has become far more effective and widely available…”
via The Business of Artificial Intelligence (@Harvard Business Review)
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