Research

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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Inquiry:

One of the roles of our digital research team is to look at trends in the analytics space. What are the trends in data and analytics that we should be aware of?

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Yesterday, almost 200 of IIA’s clients, analytics experts and advisory network members gathered together to discuss the top trends and challenges of the analytics industry. The presentations were insightful, drove conversations and had actionable takeaways. The three themes of transformation, artificial intelligence (AI), and data-driven cultures were threaded in all of the presentations. This blog covers the key highlights of each session.

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Inquiry Response: Integrating Legacy Data Sources

By David Loshin, Oct 08, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

I’ve been asked to set up and lead a new business analytics and insights team. Some of the biggest challenges come with the many legacy data sources. What should I be thinking about when it comes to bringing together legacy data?

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Cloudera and Hortonworks Cease Fire

By Daniel Graham, Oct 08, 2018

Like brothers on opposite sides of a conflict, Cloudera and Hortonworks have decided in favor of peace and reuniting the family. This blog explores the implications of Hortonworks and Cloudera’s merger on the analytics software industry.

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Is Machine Learning Analytics or AI?

By Thomas H. Davenport, Oct 04, 2018

One of the definitional debates that bedevils the artificial intelligence (AI) field is whether machine learning is an AI-based method or technology. Or is it just an analytics-based activity? After all, it is statistical in nature, and attempts—as virtually analytical methods do—to fit a line or curve to a set of data points. So is it really AI? And what difference does it make

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Modern Software Concepts for Analytics and Data Intensive Systems

By Casey Rosenthal, Oct 03, 2018

Available to Research & Advisory Network Clients Only

This research brief explores a handful of mental models as they relate to the current state of development in the software industry, particularly at companies with vast scales in terms of request traffic, data to work with or market share. Software as an industry in its own right is becoming increasingly complex; this march toward complexity is no less true for all other industries that depend on software or that are trying to implement complex analytics including AI. The question of how to manage complexity is one of the biggest issues we currently face.

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Inquiry Response: What Does It Mean to Own the Data

By IIA Expert, Oct 01, 2018

Available to Research & Advisory Network Clients Only

Inquiry:

We’re a data and analytics organization within a highly regulated industry. We’re working toward cobbling together a working definition of what it means to “own” data and what that could look like.

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