Research

This article describes the potential for AI to augment risk estimation for both individual investors and financial market assets. AI processes vast amounts of a variety of data to identify patterns underpinning processes and metrics. Evolving data resources including digital touch points provide AI with attributes that can enhance risk estimation to ultimately augment elements of modern portfolio theory.

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Artificial Intelligence (AI) today merely has specific intelligence as opposed to generalized intelligence. This means that an AI process can appear quite intelligent within very specific bounds yet fall apart if the context in which the process was built is changed. In this blog I will discuss why adding an awareness of context into an AI process – and dealing with that context – may prove to be the hardest part of succeeding with AI. In fact, handling context may be the Achille’s heel of AI!

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Inquiry Response: Thoughts on the Current State of AI and ML

By Alistair Croll, Oct 29, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We’re pushing more and more into AI and ML, and we’d like your perspective on risks, governance practices, and any other best practices that are developing.

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Atlanta 2018 Analytics Symposium: Event Summary

By IIA Expert, Oct 24, 2018

Available to Research & Advisory Network Clients Only

IIA’s 10th Analytics Symposium was held in Atlanta on October 10, 2018. This Symposium brought together analytics leaders from different industries, functions, and geographies to share insights and best practices. Experienced and innovative analytical leaders from large enterprises (Ford, Honeywell, Optum, GE, and Symantec/ID Analytics) described their organizations’ analytical journeys and key lessons learned—about creating business value, building an analytics team, creating a more analytically savvy company, and dealing with the hype around AI. Also sharing insights and trends were leading academics (IIA co-founder Tom Davenport and Jennifer Priestley) and IIA leaders Bill Franks and Kathy Koontz. Read the event summary for key themes and insights from the conference.

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Atlanta 2018 Analytics Symposium Video: Mano Mannoochahr

By Mano Mannoochahr, Oct 24, 2018

Available to Research & Advisory Network Clients Only

GE’s Path to Emerging Analytics Technologies

Emerging technologies like Artificial Intelligence/Machine Learning, Augmented/Virtual Reality and Blockchain have the potential for making a profound impact on how work gets done within the enterprises and what businesses of tomorrow may look like. Mano explains how GE is preparing to capitalize on this opportunity – where the company is investing to build new capabilities and sprints GE is running in this multi-year journey.

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Atlanta 2018 Analytics Symposium Video: Sameer Chopra

By Sameer Chopra, Oct 24, 2018

Available to Research & Advisory Network Clients Only

From Black Box to Glass Box and Other AI Trends

With automated AI-decisioning rapidly impacting society and our lives, it is becoming increasingly important to understand the underlying factors driving these decisions. Sameer’s presentation looks at some recent promising research into XAI (Explainable Artificial Intelligence) that ID Analytics is actively working with. He spotlights a couple of credible techniques that are enabling interpretation of complex machine learning models (‘black boxes’). The presentation touches upon the AI boom (and hype!) as well as ethical considerations when it comes to AI decisioning.

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Atlanta 2018 Analytics Symposium Video: Tom Davenport and Kathy Koontz

By Thomas H. Davenport, Kathy Koontz, Oct 24, 2018

The AI Advantage: A Fireside Chat with Tom and Kathy

In advance of Tom Davenport’s new book The AI Advantage: How to Put the Artificial Intelligence Revolution to Work, coming out this Fall, IIA’s Executive Director of its Analytics Leadership Consortium Kathy Koonz discuss some of the real vs hyped business benefits of AI and where to start considering the smart money investments to stay on the front end of this next wave of analytics advancement.

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Atlanta 2018 Analytics Symposium Presentation: Mano Mannoochahr

By Mano Mannoochahr, Oct 16, 2018

Available to Research & Advisory Network Clients Only

GE’s path to emerging analytics technologies

Emerging technologies like Artificial Intelligence/Machine Learning, Augmented/Virtual Reality and Blockchain have the potential for making a profound impact on how work gets done within the enterprises and what businesses of tomorrow may look like. Mano explains how GE is preparing to capitalize on this opportunity – where the company is investing to build new capabilities and sprints GE is running in this multi-year journey.

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Atlanta 2018 Analytics Symposium Presentation: Sameer Chopra

By Sameer Chopra, Oct 16, 2018

Available to Research & Advisory Network Clients Only

From Blackbox to Glassbox and other AI trends

With automated AI-decisioning rapidly impacting society and our lives, it is becoming increasingly important to understand the underlying factors driving these decisions. Sameer’s presentation looks at some recent promising research into XAI (Explainable Artificial Intelligence) that ID Analytics is actively working with. He spotlights a couple of credible techniques that are enabling interpretation of complex machine learning models (‘black boxes’). The presentation touches upon the AI boom (and hype!) as well as ethical considerations when it comes to AI decisioning.

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A First Step Towards Strong AI

By Larry Bookman, Oct 16, 2018

A common view in the press and in artificial intelligence research is that sentient and intelligent machines are just on the horizon. How much longer can it be before they surpass our intelligence and take our jobs? Before we decide if machines can surpass our intelligence, let us first define two terms that will help us get a better handle on this topic: Weak AI and Strong AI.

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