Artificial Intelligence (NLP and Text Understanding) in 2018

Length: 3 minutes In January, Microsoft and Alibaba issued press releases that were echoed by the press exclaiming AI beats humans in Stanford reading comprehension test The writers and editors at Wired were more naturally curious than those at a number of other publications. They dug into the details. They wrote: The benchmark is biased in favor of software, because humans and software are scored in different ways. The human responses were recorded on Amazon’s Mechanical Turk and it’s not clear what the people’s motives were in answering the questions. They also quoted a Microsoft researcher who said “People are still much better than machines” at understanding the…

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AI Strategies: Hair On Fire Yet?

Length: 3-4 Minutes Have you read the Harvard Business Review article Why Companies That Wait to Adopt AI May Never Catch Up? The article makes three main arguments: 1. AI Technology is Mature Recent advances build on findings from the 1980s. “The mathematical and statistical foundations of current AI are well established” 2. AI Programs take Years Success requires many different activities such as: Knowledge Engineering Complex System Integration Human Interaction Modeling Evolving Governance Models 3. Followers will Fail If you wait to see first movers succeed, you will have to sacrifice uniqueness. Winners will probably take all and late adopters may never catch up. Our opinion All…

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Chromebooks, Network Computing & AI lessons learned

[Reading time 2:30] Key takeaway: Why did it take two decades for Network Computers to finally arrive? Translating vision into reality can take many decades. The delays are exacerbated when a lot of very difficult, non-obvious collateral-innovation is needed. Same with AI. That will take even longer to mature. Fall for clear immediate business outcomes, not fantastic visions. The backstory This holiday season I bought one of my granddaughters an Acer Chromebook to take to school. And I bought it for under $120 US at a special Black Friday sale. (Only slightly more than the 2018-equivalent of $94.00 which, after inflation, is what I paid in 1975 for…

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The Easter Rabbit hiding inside AI

Reading time: 4:30. There’s an Easter Rabbit hiding in plain sight in MIT Technology Review’s AI flow chart Anthropomorphizing When you talk about a thing or animal as if it were human, you’re anthropomorphizing. The Easter Bunny is an anthropomorphized rabbit. Net: Avoid, shun, be hypercritical of anthropomorphic thinking in general (and related to AI in particular) unless you are a: Philosopher Creative Entertainer Researcher (in areas such as biology, psychology or computer science) Let’s get real Real rabbits are not very much like the Easter Bunny. I live part of the year on Cape Cod in Massachusetts. In my town, there are wild Coyotes. Would it make sense…

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5 Easy Criteria To Get Quick Returns on AI Investments

Reading Time: 4 minutes. Minimum investment, maximum return and pretty fast too. Based on research below, we intend to adopt these findings ASAP for the Syndicate. While there are some very positive use cases, continue to cast a skeptical eye on much of the breathless business value chatter about AI today. Context We have seen many major AI research breakthroughs deliver significant new technical capabilities this decade. And more are coming. But most published market surveys inaccurately predict rapid, broad-spread enterprise technology adoption. That’s wishful thinking. These surveys are cognitively-biased exercises in deception. The authors deceive themselves. Most predictions of widespread adoption are self-serving. And wrong. We’ve been…

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