Data-driven Decision Making

Posts about Data-driven Decision Making. Subscribe to my newsletter to make sure you don't miss anything.
Tay.ai
Tay is a combination chatbot and AI system designed by Microsoft to "engage and entertain people where they connect with each other online through casual and playful conversation." It was specifically "targeted at 18 to 24 year olds in the U.S., the dominant users of mobile social chat services in the U.S." If the words "designed" and "targeted" are off-putting, then you're really not going to care for one of the system's recent, now infamous, tweets ... but, there is much, much more to learn from Microsoft's mistake. Continue Reading →
AlphaGo
What made move 37 so interesting is that no one expected it. It was early in game two of the million-dollar Google DeepMind Challenge Match, and AlphaGo, an artificial intelligence (AI) system developed by Google, placed its 19th stone on a part of the game board that no human Go master would have considered. Some called it a "mistake." Others called it "creative" and "unique." But considering that AlphaGo went on to win its third game in a row against one of the strongest Go players in the world, the move should probably have been called what it really was: "intuitive." Continue Reading →
Disney Magic Bands
“Have a magical day!” is the way Disney cast members wish you farewell. They’re not kidding. The “happiest place on earth” does its best to make it so. The cast members (Disney-speak for employees) help, but Walt Disney World is well on its way to achieving consciousness. How? As Arthur C. Clarke so eloquently stated, Continue Reading →
We deal with trade-offs all the time. “You can have it good, fast or cheap... pick any two.” The implementation constraints for this decision tree are clear-cut and obvious. If you want it good and fast, it won't be cheap. If you want it fast and cheap, it won't be good. If you want it good and cheap, it won't be fast. Continue Reading →

What Do You Do with Data?

Big Data and Data Science are overused catch phrases that can mean anything anyone wants them to mean. But the hype doesn't change the facts. We are being overwhelmed with data, here's what to do with it. Continue Reading →
Millennials empirically know that bar crawling is for recreation – not for archaic, time-wasting, low-percentage mating rituals.  If you want to meet someone, there are any number of big dating sites and apps available. Continue Reading →
In a perfect world, you just hire a bunch of data scientists, have them deploy clever algorithms, and the machine will output a clear path to higher sales, better ROI and world peace. Sadly, that’s not how it works.  Continue Reading →

2015: The Year of On Demand

Crystal Ball
Technological advancements always empower people to behave differently – what makes today different is that the rate of technological advancement is accelerating beyond our capacity, perhaps even our ability, to react – and this... is new. Continue Reading →

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