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 Insights into Auditing Artificial Intelligence

Chapter Training
11/7/2018 8:00 AM
11/7/2018 10:00 AM
The Albany Club - 91 King Street East; Toronto, ON M5C 1G3 | Canada - Ontario

Session Overview

Artificial Intelligence (AI) often refers to a set of techniques that develops machines to emulate intelligent behavior. By thinking rationally or acting human, software can replicate human tasks that require a higher sphere of cognitive awareness. AI is now making its way into banks, insurance companies, asset management and many other industries.

As AI becomes more widely adopted, it becomes necessary to develop insights into Auditing AI to prevent business disruptions and be regulatory compliant. Join us for an engaging session on artificial intelligence, where we will:

·     Use interactive activities to help participants demystify seemingly complex AI concepts, including big data, algorithms, and types of artificial intelligence.

·        Apply case studies, to explore opportunities and risks associated with AI.

·        Highlight frameworks that can be applied to introduce AI and clarify roles across the three lines of defense.

 Speakers –    Carl Barrelet, KPMG

Alessandra Fraquelli, KPMG

Carl is a Manager in KPMG’s Data & Analytics Centre of Excellence, Lighthouse practice in Toronto. He combines 8 years of experience in venture capital with an extended academic experience in pure science and applied data analytics. Carl’s current and past clients include commodity trading houses, energy and financial service companies. Carl also holds a Ph.D. from Harvard University, as well as Bachelor of Science and Master of Science degrees from Stanford University.

Carl has employed analytics to drive business decisions in commodity and financial services companies. He has served as project manager with responsibility for planning, budgeting, execution, and innovation. Carl has developed Data & Analytics solutions such as clustering, time series analysis, social media sentiment analysis, recommender systems, quantitative finance, revenue forecasting and predictive models.

Alessandra is a Data Scientist in KPMG’s Data and Analytics practice. She has extensive experience working with large datasets to answer complex business problems using quantitative methods and is interested in data science, machine learning and artificial intelligence. Prior to joining the Data and Analytics practice, Alessandra worked in the Financial Risk Management practice in KPMG, and also a risk management division of a Schedule I financial institution. She has worked closely with audit as a predictive model subject matter expert on multiple engagements and excels at interpreting and communicating complex methodologies and concepts with ease

Registration

As space is limited, please pre-register on-line at the website noted below. Late registrations may not be accommodated due to space limitations.  Substitutions are welcome.   

To register online, please visit the event website: http://www.eiseverywhere.com/356219

Phone: 416-223-5326
Email:
administrator@iia-toronto.org

Venue

The Albany Club - 91 King Street East; Toronto, ON M5C 1G3

Registration, Light Breakfast And Networking: 8:00 a.m. – 8:30 a.m.

Presentation and Q&A:  8:30 a.m. – 10:00 a.m.

Cost

IIA Toronto Chapter Members - $64.99 (plus HST)

Non-Members - $76.99  (plus HST)

Students – Free if a valid student ID card is presented at event

CPE: 1.5 credits

Please Note:  There is a cancellation policy in effect.