AI Innovation in Risk Management

Understand the role AI will play in the future of risk management.

AI Innovation in Risk Management    

June 2020 | ONLINE

Register your interest

This is a brand new 2020 course. Continuing Risk training’s commitment to the most up to date topics, this course will be led by practitioners with experience implementing effective AI solutions and evaluating instances where they may or may not be appropriate. 

Delegates will be provided with the knowledge to orientate themselves within their organisation in relation to the rapidly changing AI transformation of the risk management function. 

This course will avoid the common rhetoric that surrounds AI solutions and focus on a practical roadmap to AI implementation. Sessions will include identifying the best use cases, creating a culture that supports AI and the AI interaction with regulation.
 

COVID-19 update

Due to the escalation of the COVID-19 developments and the restrictions being placed on travel, Risk Training has taken the decision to provide our May, June and July training courses virtually.

The decision to move remotely has not been taken lightly, but our utmost priority is to safeguard the wellbeing of all our delegates, speakers and staff.

We are hopeful that we will be able to return to our in-person events later this year, however as this unprecedented situation is changing every day, we remain watchful but also focused on delivering this much anticipated course.

 

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What will you learn?

  • A comprehensive roadmap to implement AI tools 

  • The correct process to identify effective use cases for AI

  • How to prepare your data to effectively work with AI

  • How AI is affecting the management of data flows

  • The latest regulatory view on AI in risk management

  • The power of AI in operational risk management

  • How to create a culture that supports AI innovation

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Who should attend?

Relevant departments may include but are not limited to: 

  • Operational risk

  • Enterprise risk management

  • IT

  • Data management 

  • Data administration

  • Digital innovation

  • Data governance

  • AI/ML engineer

  • AI Architecture

  • Investment data specialist

  • Cyber security

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Course highlights

  • Identifying use cases for AI 

  • AI implementation roadmap

  • Preparing your data for AI and ML

  • Creating a culture that supports AI innovation

  • AI and operational risk

  • AI and data management 

  • AI and regulation

  • Case study: portfolio optimisation tools 

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Pricing options

We offer flexible pricing options for this course:

  • Early bird rates - save £400

  • Group booking rate - save up to £2000

  • Subscribe to receive Risk Training updates and avoid missing out on additional savings

CPD / CPE Accreditation

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CPD Accreditation

This course is CPD (Continued Professional Development) accredited and will allow you to earn up to 12 credits. One credit is awarded for every hour of learning at the event.
CPE Member

CPE Accreditation

This course is CPE (Continuing Professional Education) accredited and will allow you to earn up to 12 credits. One credit is awarded for every hour of learning at the event in accordance with the standards of the National Registry of CPE Sponsors.
The workshop was enriching both for me (as speaker) and the participants, as it allowed for a free-ranging discussion on the latest regulatory trends and their impact on the marketplace.
Singapore Exchange
All presentations are relevant and well discussed. Speakers obtained good delivery of topics.
Bank of the Philippine Islands
One of the best seminars I have attended. I liked the way actual experiences with products discussed were integrated into the presentations
BNY Mellon
You are brilliant. My team are outsourcing most if not all of our training to you at the moment.
Mizuho
Excellent industry history and in-depth knowledge
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Barclays
The learning is mutual when delegates and speakers bring such rich experience from industry and academia. Also inspiring to see so many senior people so motivated to learn new things.
Morgan Stanley

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