Research

Detroit 2019 Analytics Symposium Video: Carole Piovesan

By Carole Piovesan, Nov 05, 2019

Available to Research & Advisory Network Clients Only

While early adopters of AI technologies are projected to share a global profit pool valued at $1 trillion, more than 95% of companies have not yet embraced AI technology to reinvent how they do business. A key reason for slow adoption is a shifting and uncertain regulatory landscape. Global, national and jurisdictional regulatory rules about data and AI are unclear and companies are rightly concerned about reputational and legal consequences associated with a possible misstep such as a privacy or security breach.

Read More »

Detroit 2019 Analytics Symposium Video: Matthew Johnson-Roberson

By Matthew Johnson-Roberson, Nov 05, 2019

Available to Research & Advisory Network Clients Only

Having just come out of stealth mode in July, University of Michigan Professor, former Ford control algorithm innovator and now startup co-founder and CEO of Refraction, Matthew Johnson-Roberson has jumped into the autonomous vehicle race. But he has a particular angle that has yet to be addressed – delivery robots that can operate in rough weather, such as Michigan winters. Matthew will talk about Rev-1, his new delivery robot, and the decisions that went into defining a market opportunity that leveraged the analytics potential of what could be developed.

Read More »

Detroit 2019 Analytics Symposium Video: Tom Davenport

By Thomas H. Davenport, Nov 05, 2019

Available to Research & Advisory Network Clients Only

Many companies are dipping their toes into artificial intelligence, but only a few are attempting to put AI at the core of their strategies and business models. As with analytics, taking a leading position on AI is likely to be rewarded with competitive success. Tom will describe what companies that aspire to be “AI First” do, and how other companies can learn from their pioneering approaches.

Read More »

Detroit 2019 Analytics Symposium Video: Abraham Thomas

By Abraham Thomas, Nov 05, 2019

Available to Research & Advisory Network Clients Only

Since the dawn of Wall Street, investors have sought an edge: a source of advantage they could leverage to beat the market. It’s the only way to win in the zero sum game of institutional investing. Today that edge comes from information found within the exabytes of data we all create every single day of our lives; something made possible by the technology boom of the 90s along with Moore’s Law of improvements in processing power and data storage. The prevailing belief is that the predictive signals buried in the “data economy” have the power to move markets. This is the age of alternative data, and investors are racing to get their hands on it. With an estimated market size of $7 billion by 2020, alternative data is transforming capital markets. Abraham will walk you through how investors are finding, leveraging, and profiting from alternative data today.

Read More »

Detroit 2019 Analytics Symposium Video: Panel Discussion

By Drew Smith, Guy Lehman, David Dittmann, Nov 05, 2019

Available to Research & Advisory Network Clients Only

As companies reach a level of effective analytics maturity, the challenges shift from “How do we make this work?” to “What do we need to start doing now to stay ahead and prepare for tomorrow?” Join IIA’s New Executive Director of the Analytics Leadership Consortium as he leads a discussion with two of the leaders in their industries to explore their thoughts on preparing for what’s coming next.

Read More »

Detroit 2019 Analytics Symposium Video: ANNY Presentations & Awards

Nov 05, 2019

Available to Research & Advisory Network Clients Only

Ford Motor Company won the Excellence in Analytics Award for its Global Supply Chain Fitness Analytics initiative that supports their Manufacturing, Purchasing, Material Planning and Logistics divisions.

Read More »

Detroit 2019 Analytics Symposium Video: Nick Curcuru

By Nick Curcuru, Nov 05, 2019

Available to Research & Advisory Network Clients Only

Artificial intelligence has become the hottest commodity in recent years, and business, academia, and government have embraced it to propel complex use cases. As AI becomes more woven into the fabric of organizations (and its criticality increases), enterprise infrastructure becomes essential. AI is only as strong as its weakest link. The ability to build out use cases, deploy into production, scale, and secure all relies on the supporting solutions and infrastructure. There are many different decisions to make when choosing the right solutions and infrastructure: On-premises or off? GPUs or CPUs? Which storage system and framework to use? The list goes on. Drawing on real-world considerations, use cases, and solutions, Nick Curcuru discusses different decisions—and the associated considerations and best practices—you need to exercise to build and deploy a successful AI.

Read More »

Detroit 2019 Analytics Symposium Video: Alistair Croll

By Alistair Croll, Nov 05, 2019

Available to Research & Advisory Network Clients Only

The lifespan of a company on the S&P 500 and Fortune 500 has plummeted from nearly 70 years to around 15. And attempts to innovate fail more than 95% of the time. But the best companies survive by balancing a portfolio of innovation approaches. Based on 10 years’ research and interviews with corporate innovation leaders around the world, this talk offers a model for managing and measuring new initiatives that is concrete enough to put to work immediately.

Read More »

Portland 2019 Analytics Symposium Video: Zachery Anderson

By Zachery Anderson, Apr 17, 2019

Available to Research & Advisory Network Clients Only

It’s No Game to Find and Keep Your Data Scientists - EA Battles The Market Forces for Talent

In 2013/14, EA’s voluntary turnover among data scientists was 21-22%. It is now 8%, with consistent improvements. These improvements occurred without major changes in compensation and without disproportionate change in investment in the analytics platform, which are common data scientist complaints.

Read More »

Portland 2019 Analytics Symposium Video: Michael Li

By Michael Li, Apr 17, 2019

Available to Research & Advisory Network Clients Only

Employment and Training in The Era of AI

As AI replaces some jobs and changes others, it raises questions of, “What is the role for humans in the AI world?” It is most useful to see humans and AI working together, taking advantage of the strengths of each.

The training and learning tracks will vary by role. Foundational learning will be required in all technical roles including basic software engineering, data wrangling, predictive analytics, and data visualization. Data scientists will require additional training in advanced machine learning; data engineers will require more immersion in distributed computing.

The demand for data scientists and analysts is estimated at 140,000 to 190,000. But the demand for data-savvy managers is even greater at 1.5 million. It is unlikely universities will be able to meet this demand. Universities tend to be more theoretical and less focused on practical application. Private training will be needed to fill the gaps.

Read More »