Research

Understanding Power in the Digital Economy

By Geoffrey Moore, May 09, 2017

We are all stakeholders in the economic systems within which we live and work, and the better we can understand their dynamics, the more likely we are to navigate them successfully. For the most developed economies of today, this means understanding the transition from an industrial to a digital economy, and specifically, how economic power is migrating from familiar to unfamiliar sites.

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IIA 2017 Spring Symposium Event Summary

By Jack Phillips, Apr 13, 2017

Available to Research & Advisory Network Clients Only

IIA hosted its first client-only Symposium of 2017 on March 14, 2017 at the VMware campus in Palo Alto, CA. Over 100 of IIA’s research clients gathered for the Symposium featuring five keynotes and two panel discussions. Given the location in the heart of Silicon Valley, the theme of the Spring Symposium was innovation, disruption, and the growing role of technology in shaping how analytics and data management are executed inside enterprises today.

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Video: Innovation, Disruption, and Enterprise Analytics

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

This presentation addresses how enterprises of all sizes can adopt a “start-up mentality” to transform their organizations and the industry. Featuring Geoffrey Moore, Author, Thought Leader.

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Video: Artificial Intelligence is Data Analytics

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

Recent advances in Artificial Intelligence have little to do with intelligence, and a lot to do with data. Machine Learning, in fact, is little more than an automated form of analytics. Discover the surprising history of these ideas and why—after fifty years—they are suddenly the next big thing. Featuring Jerry Kaplan, Author, Thought Leader.

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Video: What is “Analytics” to a Digital Native?

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

Leaders from Bay Area “digital natives” share perspectives on the inner workings of companies founded on data, and the symbiotic relationship of analytics and technology in data-driven companies. Panel featuring David Hardtke, Director of Advertising Science, Pandora; Todd Holloway, Director of Content Science, Netflix; David Andre, CEO, Cerebellum Capital; Matt Fernandez, CEO, Simple Emotion

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Video: Analytics in a Global Software Company

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

What analytics means to the internal operations of a large software company, and how analytics is organized; how analytics internally has been a change agent and source of value. Featuring Sanjay Poonen, COO, VMware.

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Video: Investing to be Analytically Competitive

By IIA Faculty, Apr 13, 2017

Available to Research & Advisory Network Clients Only

2017 Analytics Symposium - Silicon Valley

Representatives from client companies discuss the role that key technology investments and capabilities have played in accelerating and unlocking value with analytics. Client Panel featuring Todd Sanger, Lilly & Co.; Chris Donovan, Cleveland Clinic; and Joe DeCosmo, Enova.

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Three Paths for Aligning Analytics to Business Strategy

By Daniel Magestro, Feb 27, 2017

Available to Research & Advisory Network Clients Only

As organizations strive to build their analytics capabilities, an unexpected challenge has plagued many efforts: The activities of analytics teams and the investments made to support them aren’t in sync with what executives expect or desire. On the surface, it might have seemed straightforward for “business analytics” to be in sync with the business’s strategic needs. After all, the decision to invest in the first place was driven by the business’s needs, right?

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How the Machine Learning of Today is Driving the Artificial Intelligence of Tomorrow

By Andrew Pease, JOSEFIN ROSÉN, Robert Morison, Dec 22, 2016

Available to Research & Advisory Network Clients Only

Machine learning is hot and for good reason. The components — big data, computing power, analytical methods — are in place, and compelling applications are multiplying. To capitalize on the technology, organizations must build experience. They must also proceed pragmatically with one eye on the business and the other on the ethical implications of the algorithms deployed and the decisions automatically made. To explore the opportunities, challenges, and success factors of machine learning today and tomorrow, IIA spoke with Andrew Pease, Principal Business Solutions Manager, Global Technology Practice at SAS Institute and Josefin Rosén, Principal Advisor Analytics, Nordic Government at SAS Institute.

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Like many other Americans who went to bed on election night prematurely, I learned about Donald Trump’s stunning victory in the U.S. presidential election on my phone early in the morning. The result was unambiguous but shocking and hard to process, especially at 5 a.m. But also like many other Americans, my shock wasn’t driven by a lack of awareness of Americans’ prevailing anti-establishment mindset and desire for change that tilted the vote (I’ve resided in three of the four key Midwestern states that “flipped”), but by the disconnect between the final result and the longstanding, data-driven expectation we had overly trusted.

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