The principle of the Nirvana Fallacy holds that if perfection can’t be attained, why bother trying?
It’s easy to associate this with business cultures that are intolerant of failure or averse to new ideas. But certainty is also demanded from more forgiving organizational cultures. On the face of it, this expectation of certainty seems reasonable. If you are to invest a great deal of time and effort into a particular venture, shouldn’t you be very certain, or at least very close to it?
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Sherlock Holmes, Donald Trump, and the Data Science Paradox
Yes, “deducive” is a real word. And it’s the name we chose for our company. We chose it for its rational correlation to logic and the scientific method, as well as its emotional connection to a great fictional sleuth. But, in data science terminology, it may have been a bad choice.
Read MoreI’ve worked with Google Analytics for quite a while. So long in fact I remember the “U” in “UA” actually means “Urchin” and not “Universal.” Back then it seemed wonderful that a paid for service like Urchin was made free instantly on acquisition by a forward looking company like Google.
Read MoreAs great as Data Studio is, it fails in one key respect: mobile-friendly design. Visualizations you create for desktop view will not scale down to mobile screens. Here’s an easy workaround.
Read MoreIntroducing IBMsentR, a simple R package for textual sentiment and tone analysis through IBM Watson.
Read MoreThe big cloud players — Amazon, Google, IBM, and Microsoft — have all put their machine learning tools at your disposal. But figuring out how much they cost, and how those costs compare, can be a great mystery. In this article we’ll decipher the cost structures of the four biggest cloud players across a variety of scenarios.
Read MoreWe wrote an article earlier this year comparing 3 popular cloud sentiment analysis services. In this follow up piece we take a look at how Microsoft Azure Text Analytics stacks up.
Read MoreIn the last 18 months, we’ve seen a major leap forward in the quality, accessibility, and cost of cloud-based sentiment analysis services.
So how do the big cloud sentiment services compare out of the box?
Read MoreGenerally speaking, McKinsey gives good advice — better than Gartner, who have unhelpfully predicted that AI will create $1.2 trillion of “economic value” in 2018. In the case of McKinsey’s “Notes from the AI Frontier”, however, they have combined some useful thinking and case studies with an irresponsible presentation of market projections.
Read MoreIt will surprise no one to learn that airport travelers tend to be wealthier and more educated than the general population. But here’s the interesting part: three quarters of frequent flyers say that they actually pay attention to advertising in the airport.
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