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Moving Beyond Predictions – Second Order Analytics
Last month, I wrote about why simply making predictions isn’t enough to drive value with analytics. I made the case that behind stories of failed analytic initiatives, there is often a lack of action to take the predictions and turn them into something valuable. It ends up that identifying and
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No, Everyone Doesn't Need to Understand Analytics
The breadth of analytics has certainly increased in recent years. So, too, has the pool of people who dip their toe into creating analytics of one sort or the other. The trends toward democratization of data and self-service analytical capabilities are powerful and both have driven a lot of
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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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Augmenting Self-Driving Cars with Human Capabilities
In a previous piece I wrote about an MIT conference suggesting that fully autonomous vehicles are not just around the corner. In the short run, then, we’ll be riding in increasingly smart vehicles, but we humans will still be expected to be in charge. And even after full autonomy is
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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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84.51° Builds a Machine Learning Machine for Kroger
Machine learning is a great way to extract maximum predictive or categorization value from a large volume of structured data. The idea (at least for “supervised learning,” by far the most common type in business) is to train a model on a one set of labeled data and then use
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Three More Reasons to Embrace Automated Machine Learning
In my IIA post in May I wrote about the fact that automated machine learning (AML or, in deference to anti-money laundering, AutoML) has the potential to reduce demand for data scientists, and to make them less sexy in the job market. Before shutting up completely on that topic, however,
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A New Chapter in the Analytics Journey
Every individual and enterprise travels a unique journey in the pursuit of analytics. In my case I could never have predicted how my journey would unfold when I first entered the workforce over 20 years ago. The rise of analytics as a strategic imperative and the explosion of career opportunities
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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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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