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Balancing Analytics Agility and Stability
There have been many science fiction stories (as well as video games!) that revolve around the tradeoffs between powerful, strong, hard to harm combatants and those that are small, nimble, but easy to harm. Both have their merits and both can be useful in different situations. However, the same
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5 Things New Analytics Leaders Should do to Succeed
Any new leader in any field will have to face several challenges in the first few months on the job if he or she is to succeed. On May 11, The International Institute for Analytics (IIA) hosted a webinar where IIA co-founder Tom Davenport and I discussed some of
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Getting Real About Autonomous Cars
Among my least lucrative, but most interesting jobs is being a “digital fellow” at the MIT Initiative on the Digital Economy. There are often interesting developments happening there on the topics of artificial intelligence (AI), digitization, and digital platforms. That was certainly the case on March 8, when I attended
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Deep Learning: Einstein or Savant?
Artificial intelligence is one of the hottest topics in analytics today. Currently the most popular member of the AI family, deep learning is solving some very difficult problems very well. Best known for image recognition, it is now being applied to a wide range of other problems.Given the success
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Push Your Analytics Out to Customers
Analytics and big data have penetrated most large organizations by now, and are helping to improve many internal decisions. But they can also have a major impact on the decisions of customers or citizens. This applies not only to decisions about what products to buy, but also to decisions about
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The Dilemma of Unexplainable Artificial Intelligence
Artificial intelligence has quickly become one of the hottest topics in analytics. For all the power and promise, however, the opacity of AI models threatens to limit AI’s impact in the short term. The difficulty of explaining how an AI process gets to an answer has been a topic
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Are Analytics Truly Self-Service?
I have been thinking about some of the changes over the last decade in analytics, coinciding with the revised and updated release of my book with Jeanne Harris, Competing on Analytics.The book is ten years old, and much has changed in the world of analytics in the meantime. In updating
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Five Challenges of Analyzing Internet of Things (IoT) Data
The analysis of Internet of Things (IoT) data is quickly becoming a mainstream activity. I’ve written about the Analytics of Things (AoT) before (some examples here, here, and here). For this blog, I’m going to focus on a few unique challenges that you’ll most likely encounter as you move
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A Revolution in Analytical Technology
It’s been 10 years since Jeanne Harris and I published our book, Competing on Analytics, and we’ve just finished updating it for early-fall (2017) re-publication. We realized during this process that there have been a lot of changes in the world of analytics, although some things have remained the same.
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Yes, Artificial Intelligence is Analytics
There seems to be some confusion as to exactly what artificial intelligence (AI) is, and how the discipline of AI should be categorized. Is AI a form of analytics or is it a totally new discipline that is distinct from analytics? I firmly believe that AI is more closely