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Artificial Intelligence in Banking

Two days of intensive training

23 - 24 November 2020

Central London

Banking is at the leading edge of the digital and AI transformation. Owing to the complex processes, heavy
compliance burdens as well as richness in data, there is no reason why your bank can’t realise the rewards of artificial decision-making.

During this training programme, you’ll learn that banks have to discover, understand and embrace AI to stay competitive. You’ll examine best practice from various angles of the AI value chain and identify what is
applicable for your own organisation.

There are only a few banks running advanced end-to-end data and AI infrastructures. With the right training, yours can be one of them. After this course, you’ll be perfectly placed to derive value from employing AI in your business operations.

You will learn about:

  • Designing an AI infrastructure for your bank
  • Building multi-stakeholder AI partnerships
  • The latest cutting-edge business applications of AI within front and back offices
  • Key regulations, basic compliance and the elementary legal framework for AI in banking
  • The potential dangers as well as ethical and social aspects of AI

Practical sessions include:

  • Make an assessment – how does your organisation handle data today and what would be your wish for a future data culture?
  • How would you set up an AI project at your company? What elements would you buy on the market and which ones develop in-house? Which team in your organisation would do it?
  • How to employ anomaly detection in your bank. Market vendors and inhouse strategies
  • Design an AI project for your organisation and roadmap the development and implementation. What obstacles do you face?
  • Identify and structure your own case on Big Data and AI in your organisation
christina spindler

After gaining both a PhD in Physics and an MBA, Christian Spindler has gained extensive experience in the data science and AI industries. He has also delivered a broad range of management consulting for data analytics in financial services with his latest role as Senior Manager at PwC.

He has developed and run numerous training programmes with audiences of up to 200 people. Projects have included: data analytics and advanced data science modelling techniques; development of automated machine learning software for portfolio management; transaction monitoring and fraud detection; development of machine learning software for liquidity forecasting; investigation of the LIBOR manipulation based on volatility data (VIX) using machine learning and many more.

cpd certified

23-24 November 2020

Christian is an inspiration, he knows more about the subject than anyone I’ve ever met

bac accreditation mark

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