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:
Practical sessions include:
We have been delivering online training for many years and know how to ensure the interaction is the same as if you were in a classroom.
The trainer will share his screen to allow you to follow the training session, which will be very practical. Our trainer will include polls, group work, exercises, discussions and breaks.
The course will be 50% pre-recorded, on-demand material that can be accessed at the delegates preferred time. 50% will be delivered ‘live’ with the trainer – timings of this will be flexible in order to best meet the requirements of the demographics of the delegates.
You will be able to ask questions, give feedback and participate in the practical sessions. Class sizes will be capped to ensure every delegate will be guaranteed quality time with the trainer.
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.
23-24 November 2020
Online course price
£1799 + VAT if applicable
Christian is an inspiration, he knows more about the subject than anyone I’ve ever met