
I have biases; you have biases. Why is it ding-dong and not dong-ding? PIng-pong and not Pong-ping? Sing-song. Tick tock. Hip hop. We can’t help […] Read More
Big Data Solving Big Problems
I have biases; you have biases. Why is it ding-dong and not dong-ding? PIng-pong and not Pong-ping? Sing-song. Tick tock. Hip hop. We can’t help […] Read More
Will YOU die from COVID-19? That’s really the burning question. With all the floating conspiracy theories commingled with distressing talleys, there’s a definite fuzziness to […] Read More
Chapter X of The Fallacy of Laying Flat Before we delve into the art and science of how Big Data derives solutions, let’s look at […] Read More
#closeenough Rule #7 of artificialintelligence: close enough. Number 7 is pretty far down the list, but “close enough” is an equally important concept for AI. Have you ever queried […] Read More
Rule #4 of Artificial Intelligence: no context. #AIbots have been trained to do many mundane, repetitive jobs. Training involves utilizing data sets with often millions […] Read More
#thatsnotwhatyouasked Pet peeve – use of “literally.” If you don’t understand literally vice figuratively, #artificialintelligence can set you straight. Rule#2 of #AI is everything is […] Read More
#Imabiscuit #billieeilish In my last post, i talked about how #artificialintelligence is NOT the super borg/being that could take over the world. So why not? […] Read More
#C3PO #R2D2 #skynet #Hal #Wall-E The pop fiction visions of #artificialintelligence bifurcate to optimism or pessimism. #AI is either going to take over the world […] Read More
#superbowlcommercials2020 WARNING! ALL #AI IS NOT GOOD. FOR YOU. For anyone. I would have lead with #youhadmeathello but that’s too benign a lead in for […] Read More
#superbowl2020commercials Leave it to #Amazon to remind us with a whimsical and historical perspective. In days of yore – or pre-1990s – asking for something […] Read More