Research & Insights

Phone Briefing: Demand, Supply, and Your Information Economy

By Jack Phillips, Nov 13, 2018

Available to Research & Advisory Network Clients Only

Learn strategies to motivate, coach and train the “demand” side of the analytics partnership to ask better questions, make better decisions, and do their jobs more efficiently using data and advanced analytics.

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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: Easing the Transition to Agile for Model Development

By IIA Expert, Nov 06, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We have a new analytics team that I’m trying to transition to Agile. Unfortunately, the data scientists in particular have no experience with Agile and are resistant.

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Inquiry Response: Embedding Analytics Into Digital Platforms

By Steve Stone, Nov 05, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We’re a service and product provider within the financial sector. We recently unveiled a new online portal and are in the process of moving our clients to it. At the same time, we need to start advancing on the next iteration of the platform that will use advanced analytics capabilities such as AI and machine learning. We’re having a rough transition. Any tips?

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Studies show that only 26% of data-related jobs are held by women. I attended the Women in Technology International meeting featuring a panel discussion with Rehgan Avon, Katie Sasso and Kristen Stovell on the “Future of Data Analytics”. This blog covers insights from the event across a wide range of topics including machine learning, educational resources, responsibilities of data scientists, and managing big data

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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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Agile Analytics Manifesto

By David Alles, Oct 25, 2018

Many organizations struggle with implementing agile or don’t see the expected results because they treat agile as just another process. If you are considering the use of agile development for analytics, it is critical to remember that agile is much more than a process – it is a philosophical and cultural approach to delivering customer value.

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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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