SORA Business Analytics Seminar – Real World Application of AI with Case Studies

When:
2018-04-30 @ 17:30 – 18:30
2018-04-30T17:30:00-04:00
2018-04-30T18:30:00-04:00
Where:
RBC Waterpark Place Auditorium
88 Queens Quay W
Toronto, ON M5J
Canada
Cost:
0
Contact:
Dr. Alison Burnham
SORA Business Analytics Seminar - Real World Application of AI with Case Studies @ RBC Waterpark Place Auditorium | Toronto | Ontario | Canada
Click here to Register!

DESCRIPTION

This talk will give an overview of Artificial Intelligence from a practitioner who has been a leader in the analytics world for many years. The talk will cover the following:

  1. Provide a definition of AI. A term that is very misunderstood and misused in the market place.
  2. Discuss the missing elements in the current conversation about AI that are required to delivered applied solutions.
  3. Provide Retail and Finance Industry AI use cases that Daisy is delivering to clients today.
  4. Share case study results for Daisy use cases.

About Gary:

Gary is an expert on AI technology and evangelizes about the societal benefits of AI and machine learning as it pertains to improving business decision making. Gary’s love of math and science started with punch cards and parallel computing meant driving back and forth to computers at all his friend’s houses to run jobs to get his computational aerospace assignments completed.

Gary is the former head of IBM Canada’s analytics and data warehousing practices and previously the head of Loyalty Consulting Group, providing analytical and data management services for one of the world’s most successful coalition loyalty programs. Gary holds both a BASc and MASc in aerospace engineering from the University of Toronto and continues to lecture and advise in curriculum development for the Engineering Science and AI programs at U of T.

Gary is the founder and CEO of Daisy Intelligence which has a proven record-of-success applying A.I. powered technology to automated core business decisions. Daisy’s software-as-a-service (SaaS) platform analyzes 100% of input data, simulates the possible alternatives and trade-offs inherent in any complex business question, considers any boundary conditions and constraints, and recommends the optimal course of action to best meet a client’s goals.

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