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Disruptive Innovation: Artificial Intelligence & Analytics Symposium (ONLINE)

June 16, 2023 @ 9:00 am - 12:45 pm CDT

Join us for this outstanding event featuring industry and academic leaders discussing the immense opportunities and serious challenges of disruptive innovation.

REGISTER HERE FOR SYMPOSIUM LINK

Symposium Agenda:

Maribeth AchterbergETHICS IN AI

Maribeth Achterberg
Vice President of Solution Delivery
Molson Coors Beverage Company

Artificial Intelligence is a disruptive technology that has hit critical commercialization in 2023 in a manner that begs questions be answered regarding how to govern and manage the uses and algorithm construction to safeguard society.  Every societal role in the commercialization of AI needs to consider and recognize their obligation in this regard. Our common goal should be to temper our excitement over the technological advances with the sober reality of recent examples of tech having been unchecked for a long period of time, has long term impacts and ramifications.  What are the obligations of academia, industry, and government in ethical use of AI? How do we come together quickly to address impacts and who should take the lead in the conversation?  Maribeth Achterberg will provide her perspective as an industry leader and citizen in an effort to elevate the topic as worthy of prioritization as we move beyond the amazement of this new technological era of Applied AI.


Rajesh GuptaEMBEDDED INTELLIGENCE: CHALLENGES AND OPPORTUNITES IN REAL-WORLD LEARNING

Dr. Rajesh K. Gupta
Founding Director, Halıcıoğlu Data Science Institute
Distinguished Professor of Computer Science and Engineering, University of California San Diego

AI, or more precisely, machine learning has captured the imagination for its generative capabilities as exemplified by automated chatbots, code generators and art generators. Underlying these capabilities lies many generations of advances in computing architectures and systems that have brought us at the threshold of decoding the interplay between human experience and the languages that encode such experiences, all eventually turning into streams of data that can be acted upon.

In this talk, we examine the world of physical experiences via time-series data generated from variety of embedded sensors and encoded in the languages of tags and metadata labels. These are beginning to find use in many applications from personal health, climate science to robotics. Learning from these data sources requires manipulation of spatiotemporal data streams that seem to be a natural candidate for machine learning. yet, progress seems slow and about 3-4 years behind advances vision and text applications of machine learning. We examine the challenges posed by the dynamic and volatile conditions that affect quality and completeness of timeseries data that leads to irregular, asynchronous and missing data for such labels are hard to come by, and recent work in the area in our collaborations at UC San Diego that is addressing these problems.


Avi GoldfarbTHE DISRUPTIVE ECONOMICS OF ARTIFICIAL INTELLIGENCE

Dr. Avi Goldfarb
Rotman Chair of Artificial Intelligence & Healthcare, University of Toronto
Chief Data Scientist, Creative Destruction Lab

Artificial intelligence presents an extraordinary opportunity and an extraordinary threat. But not in the way that might be expected. Today’s AI is best understood as prediction technology rather than a machine that can do everything humans do. Prediction technology can nevertheless transform industries. It does this by decoupling prediction from the other aspects of decision making, thereby creating new ways of delivering value. Today, we sit in a striking phase in the development of this technology, The Between Times after witnessing AI’s potential, but before its widespread impact. On the other side of The Between Times, when this process of invention is complete, the changes in decisions will mean changes in power. In industry, power confers profits; in society, power confers control.


INDUSTRY PANEL: DISRUPTIVE INNOVATION IN OUR OWN BACK YARD

  • Deepak Arora, Founder & CEO, Wearable Technologies
  • Kyle Crum, Director of Strategic Development, Rockwell Automation
  • Ross Younger, Business Development Executive, TechRender

REGISTER HERE FOR SYMPOSIUM LINK

 

Many thanks to our symposium sponsor!

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Details

Date:
June 16, 2023
Time:
9:00 am - 12:45 pm CDT
Event Categories:
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Venue

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