Enterprise AI Primer: Build on Your Strengths

By Thomas H. Davenport, Kris Hammond, Apr 16, 2018

Available to Research & Advisory Network Clients Only

This brief is based on the premise that there’s a general confusion when it comes to AI impact, strategy, investment options, and even terminology. A significant factor is that for many companies, AI can and should be viewed as a natural progression of their existing business analytics capabilities. We believe that positioning AI as a natural evolutionary outgrowth of analytics, thus benefitting from already established analytics capabilities, provides the best and easiest path for most companies to successfully “step into” AI.

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Inquiry Response: AI and Cognitive Computing Systems in Financial Services

By Kris Hammond, Sep 20, 2016

Available to Research & Advisory Network Clients Only

An IIA client from the Finance industry was interested in how AI and Cognitive Computing are influencing the Financial and Investment Industries.

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Choosing an Artificial Intelligence Solution: Start with the Business Challenge

By Kris Hammond, Jul 20, 2016

Available to Research & Advisory Network Clients Only

We’ve been given the gift of an ever-growing set of systems that fall under the umbrella of Artificial Intelligence (AI). In this brief, I want to examine the functional capabilities of these systems; capabilities that include recommendation, learning for predictive analytics, and business focused advisory systems. With this wealth of technology, it might be easy to fall into a trap where our excitement drives our decisions, and we spend our time looking for nails for our shiny new hammers.

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How artificial intelligence explains analytics

By Kris Hammond, May 19, 2016

No one would ever work with a person that just spits out answers and then walks away. Why would we expect people to work with intelligent machines that do any less?

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The Intelligent Systems Eco-System

By Kris Hammond, Apr 21, 2016

Available to Research & Advisory Network Clients Only

It is undeniable. A new renaissance of intelligent systems has begun. We now have systems that are labeled as Cognitive Computing, Machine Learning, Deep Learning, Predictive Analytics, Recommendation Engines, and a half dozen other names. And one way or another, they are all embodiments of the idea that there are some types of very human reasoning that can now be done by machines.

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