REINFORCEMENT LEARNING FOR FINANCE
Development of Advanced Analytics applications
Use GPUs for neural network training techniques
Development of a flexible environment to support the transition of the project to an AI environment
Machine Learning and Deep Learning
Technical skills, Training, POC
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.