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Bank

17 June 2020

Case History

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Bank

Development of Advanced Analytics applications
AI

REINFORCEMENT LEARNING FOR FINANCE

Development of Advanced Analytics applications

Requirements

Use GPUs for neural network training techniques

Solution

Development of a flexible environment to support the transition of the project to an AI environment

APPLICATION
Machine Learning and Deep Learning

KNOW-HOW
Technical skills, Training, POC

ADVANTAGE
Process acceleration, multiuser environment, user friendly interface

Our customer is a leading bank in Italy and is experimenting with reinforcement learning techniques with artificial intelligence in the area of trading. In a first phase, it has tried to train a neural network to be able to make correct investment selections in the market with the aim of providing support to the physical trader, especially useful in moments of panic when a human trader could make wrong decisions. The customer requested the use of GPUs for the development of the project.

E4 provided operational and strategic support for the implementation of a system able to best use the potential of GAIA. For this, it proposed an approach based on servers with two GPUs and several days of training. It then implemented a multiuser environment to be used by the internal development team so that each developer would have a Jupyter Notebook interface to work with. The development environment thus becomes a container system able to ensure the availability of a work environment over time to be able to reproduce processes and results already obtained in the past.

The customer appreciated our know-how in the world of AI and our advanced Python development techniques. To this, we added extreme flexibility in the planning and development of technical solutions.

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