AGENDA
Tuesday
2019-10-08
Ford Rouge Factory Tour
Dearborn Ballroom
Wednesday
2019-10-09
Dearborn Ballroom
Ford Rouge Factory Tour
Dearborn Ballroom
Dearborn Ballroom
13:30
Analytics & Automation at The Ford Rouge Factory – Tour
Join us for an exclusive tour of the Ford Rouge Factory. We have special tour guides from the Ford Analytics team joining the groups to share insights into how their work plays about into the manufactory process. A shuttle to the Ford Factory will be leaving the Dearborn Inn every 15 minutes starting at 1:00PM. There will be tours starting at 1:30PM, 2:00PM and 2:30PM. Please select which tour you want to join on the app! As this is a factory tour, closed toed shoes will be required, and we do ask that everyone is back at the hotel by 4:30PM to attend our afternoon events.
14:00
Analytics & Automation at The Ford Rouge Factory – Tour
Join us for an exclusive tour of the Ford Rouge Factory. We have special tour guides from the Ford Analytics team joining the groups to share insights into how their work plays about into the manufactory process. A shuttle to the Ford Factory will be leaving the Dearborn Inn every 15 minutes starting at 1:00PM. There will be tours starting at 1:30PM, 2:00PM and 2:30PM. Please select which tour you want to join on the app! As this is a factory tour, closed toed shoes will be required, and we do ask that everyone is back at the hotel by 4:30PM to attend our afternoon events.
14:30
Analytics & Automation at The Ford Rouge Factory – Tour
Join us for an exclusive tour of the Ford Rouge Factory. We have special tour guides from the Ford Analytics team joining the groups to share insights into how their work plays about into the manufactory process. A shuttle to the Ford Factory will be leaving the Dearborn Inn every 15 minutes starting at 1:00PM. There will be tours starting at 1:30PM, 2:00PM and 2:30PM. Please select which tour you want to join on the app! As this is a factory tour, closed toed shoes will be required, and we do ask that everyone is back at the hotel by 4:30PM to attend our afternoon events.
16:30
Symposium Opening Remarks
Jack Phillips
CEO & Co-Founder, IIA
16:45
Future of Automotive – Fireside Chat with President of Ford
Joe Hinrichs
President, Automotive at Ford Motor Company
Jack Phillips
CEO & Co-Founder, IIA
08:30
Opening Remarks
Bill Franks
Chief Analytics Officer, IIA
Jack Phillips
CEO & Co-Founder, IIA
09:00
Tilt the Windmill—Managing Innovation Portfolios
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.
Alistair Croll
Co-founder, Fwd50, Pandemon.io
09:50
Deployment Considerations and Best Practices for Your AI Workloads
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.
Nick Curcuru
SVP Analytics and Customer Engagement, Venuetize
11:10
ANNY Presentations and Awards
The International Institute for Analytics is excited to showcase the 2019 ANNY Excellence in Analytics Award finalists. These three organizations will take the stage to share how their projects have made profound changes to their organization through analytics projects.
This year we are excited to announce the first “People’s Choice” award. Every audience member will have the opportunity to vote for the project they feel best delivers analytics impact. We will be awarding the ANNY Winner and People’s Choice Winner during this session.
Bill Franks
Chief Analytics Officer, IIA
13:00
Panel Discussion: Attributes of Leading Analytical Companies Beyond 2020
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.
David Dittmann
Director - Business Intelligence & Analytics Services, Proctor & Gamble
Drew Smith
Executive Director, International Institute for Analytics
Guy Lehman
VP Data Strategy & Enablement, Walmart
13:45
How Alternative Data is Redefining Capital Markets
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. Carrie will walk you through how investors are finding, leveraging, and profiting from alternative data today.
Abraham Thomas
Co-Founder & CDA, Quandl
14:30
How To Be “AI First”
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.
Tom Davenport
Professor at Babson College, Co-Founder of International Institute for Analytics
15:45
Lessons From The Field: Applying Machine Learning To Robots Without Massive Amounts of Human Labeling
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.
Matthew Johnson-Roberson
CEO & Co-Founder, Refraction AI
16:30
Governing With Exponential Change On The Horizon: Law And Data In An Emerging AI World
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.
Consider that:
- in July 2019 alone, the U.K.’s privacy commissioner issued two of the largest privacy-related fines in its history;
- at the same time, the United States Federal Trade Commission issued a landmark fine of $5 billion against Facebook for privacy-related concerns associated with the Cambridge Analytica scandal
All the while:
- Europe’s General Data Protection Regulation is just over a year old and subject to much legal interpretation;
- California’s privacy legislation comes into effect on January 1, 2020 and is the most protective privacy legislation in the U.S. and;
- the U.S. is seriously contemplating enacting federal privacy legislation
In times of such tumultuous change, organizations need a clear risk management framework to help navigate such turbulent waters. I will present on a unique legal risk framework that will help companies guard against various legal consequences associated with data-rich AI technologies, through diligent planning and thoughtful documentation.
Carole Piovesan
Co-Founder, INQ Data Law
17:15
Closing Remarks
Bill Franks
Chief Analytics Officer, IIA
Select date to see events.
Join us for an exclusive tour of the Ford Rouge Factory. We have special tour guides from the Ford Analytics team joining the groups to share insights into how their work plays about into the manufactory process. A shuttle to the Ford Factory will be leaving the Dearborn Inn every 15 minutes starting at 1:00PM. There will be tours starting at 1:30PM, 2:00PM and 2:30PM. Please select which tour you want to join on the app! As this is a factory tour, closed toed shoes will be required, and we do ask that everyone is back at the hotel by 4:30PM to attend our afternoon events.
Join us for an exclusive tour of the Ford Rouge Factory. We have special tour guides from the Ford Analytics team joining the groups to share insights into how their work plays about into the manufactory process. A shuttle to the Ford Factory will be leaving the Dearborn Inn every 15 minutes starting at 1:00PM. There will be tours starting at 1:30PM, 2:00PM and 2:30PM. Please select which tour you want to join on the app! As this is a factory tour, closed toed shoes will be required, and we do ask that everyone is back at the hotel by 4:30PM to attend our afternoon events.
Join us for an exclusive tour of the Ford Rouge Factory. We have special tour guides from the Ford Analytics team joining the groups to share insights into how their work plays about into the manufactory process. A shuttle to the Ford Factory will be leaving the Dearborn Inn every 15 minutes starting at 1:00PM. There will be tours starting at 1:30PM, 2:00PM and 2:30PM. Please select which tour you want to join on the app! As this is a factory tour, closed toed shoes will be required, and we do ask that everyone is back at the hotel by 4:30PM to attend our afternoon events.
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.
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.
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.
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. Carrie will walk you through how investors are finding, leveraging, and profiting from alternative data today.
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.
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.
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.
Consider that:
- in July 2019 alone, the U.K.’s privacy commissioner issued two of the largest privacy-related fines in its history;
- at the same time, the United States Federal Trade Commission issued a landmark fine of $5 billion against Facebook for privacy-related concerns associated with the Cambridge Analytica scandal
All the while:
- Europe’s General Data Protection Regulation is just over a year old and subject to much legal interpretation;
- California’s privacy legislation comes into effect on January 1, 2020 and is the most protective privacy legislation in the U.S. and;
- the U.S. is seriously contemplating enacting federal privacy legislation
In times of such tumultuous change, organizations need a clear risk management framework to help navigate such turbulent waters. I will present on a unique legal risk framework that will help companies guard against various legal consequences associated with data-rich AI technologies, through diligent planning and thoughtful documentation.
*Event timings subject to change*