The potential and problems of artificial intelligence

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December 5, 2017 Welcome to A-Team Group’s webinar The potential and problems of artificial intelligence

Transcript of The potential and problems of artificial intelligence

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Welcome to A-Team Group’s webinar

The potential and problems of artificial

intelligence

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You can view a recording of this webinar at

http://resource.datamanagementrevie

w.com/webinar-recording-artificial-

intelligence-dec2017

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Moderator:

Sarah Underwood, Editor, A-Team Group

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Panel Member: Tammy Eisenberg, Director, Investment

Management Risk and Compliance, BNY Mellon

Areas of Expertise:

• A career compliance officer who has worked for a

number of well-known financial institutions

• Also worked for Mphasis, as the Chief Subject Matter

Expert for their compliance automation pilot

programme

• In this role, Tammy learned how artificial intelligence

and machine learning are transforming not just the

front office, but also the back office

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Panel Member: Marc Alvarez, Advisor, ConsenSys,

and former CDO, Mizuho Securities

Areas of Expertise:

• ???

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Panel Member: Andrew Yuille, Head of Partner and

Platform Ecosystem Risk, Thomson Reuters

Areas of Expertise:

• Partner strategy for the risk and supply chain

business at Thomson Reuters

• Identifying solutions that in collaboration with other

vendors will help customers solve compliance and

risk challenges, and drive commercial growth

• Constant exposure to new and emerging technologies

in the risk and supply chain market

• Many years in the technology market, most recently

as chief marketing officer for World-Check, earlier

roles leading ERP and supply chain software vendors

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Problems that could be addressed using emerging technologies

Define AI, cognitive, machine learning, robot process automation

Adoption and challenges of budget, implementation and integration

Impact on the workforce and on legal, risk and compliance officers

Strategies and skill sets for AI development and implementation

Potential benefits of AI and the results of first mover advantage

The ultimate goal of implementing AI for financial services firms

Advice for practitioners working with, or considering, AI technologies

Talking Points

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Problems that could be addresses using new technologies

Artificial intelligence (AI)

Cognitive technology

Machine learning

Robotic process automation

Predictive analytics

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Defining AI and how it differs from cognitive

technology, machine learning and robotic

process automation

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Adoption and application of emerging technologies

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Challenges of budget, buy-in, implementation and

integration, and how these can be addressed

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Concerns these technologies present for legal, risk

and compliance officers

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Developing strategies for AI implementation and

what they should look like

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The impact of AI on the workforce, will jobs be lost?

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Skill sets needed to implement AI solutions, how to

find the right skills and their potential cost

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Benefits of AI technologies and the first mover

advantage of early implementation

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Development of AI and the ultimate goal for

financial services firms

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Advice for data practitioners working with, or

considering the use of, AI technologies

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Thank you to our sponsor

Email: [email protected]

Twitter: @ayuille

LinkedIn: uk.linkedin.com/in/andrewyuille

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Upcoming A-Team Group Webinars

Visit webinar sections of

Datamanagementreview.com and IntelligentTradingTechnology.com

December 12th – Data management requirements for the 2018 regulatory agenda

December 14th – Measuring results from client onboarding solutions

March 22nd – How to track usage of the market data services you pay for

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A-Team Group Handbook Series

Visit the handbooks section of

Datamanagementreview.com and IntelligentTradingTechnology.com