Generali Asset Management (GenAM), part of the Generali Investments ecosystem, accelerates digital innovation with the launch of its own Academy on Artificial Intelligence in the financial sector, in collaboration with Qi4M, a company founded in 2017 that specializes in analyzing financial data using machine learning.
The financial industry is in a phase of profound change, with the application of artificial intelligence in analysis and investment processes opening up new growth opportunities and requiring the understanding and mitigation of associated risks. Generali Asset Management has placed the pervasive adoption of new technologies among its priorities strategic priorities, together with the need to acquire all the resources necessary for an informed and safe adoption.
The objective of the Academy is to develop the advanced skills needed in the field of artificial intelligence and machine learning.
What Qi4M does
Qi4M, since its launch in 2017, has positioned itself at the forefront of the use of AI-driven technologies in Asset Management and Asset Allocation, thanks to the combination of experts in finance and artificial intelligence.
The Qi4M Academy, among the first of its kind in Europe, represents a significant advancement in the integration of technology and investment. Designed with a specific training path and the use of the Qi4M technology platform, aims to rapidly enhance Generali Asset Management's capabilities in the adoption and use of Machine Learning (ML) and Artificial Intelligence (AI) to support investment and risk management decisions.
How the Financial Ai Academy works
La Financial AI Academy of GenAM offers a training course aimed at meeting new needs through an "open innovation" approach. The theoretical lessons and interactive laboratory sessions enable participants to develop and test prototype algorithms for practical applications, with a focus on rigorous testing methodologies.
The goal of the Academy is to ensure an in-depth understanding of financial dynamics and AI, increase confidence in innovation and experimentation, and develop critical awareness of the limits and areas of application of the models.
At the end of the journey, participants will be able to transform prototypes into real and productive solutions.
Innovation at the center of GenAm's strategy
GenAM focuses its continuous innovation strategy on the involvement of all operating units in the value process. Significant progress has been achieved in the automation of low value-added activities, in the adoption of data analysis tools based on cloud technologies and in the integration of software and algorithms for active portfolio management – key elements of GenAM's business.
“Financial markets have rather unique characteristics compared to other problems of a statistical nature, which is why a dedicated course was needed, which focuses on the more complex details that are often not covered in more generalist courses. AI has gone from a “nice to have” to a “must have” and its application in investment processes continues to expand,” he explained Antonio Cavarero, Head of Investment at Generali Asset Management.
“From advanced support to portfolio management, to risk assessment up to hyper automation, AI is demonstrating its multiplier effect also in Asset Management, with the possibility of offering increasingly sophisticated services in an increasingly faster and more efficient way . However, it is essential to create solid and widespread internal skills to be able to govern the opportunities and risks of these new technologies" he commented Giuseppe Patisso, Head of Information Technology & Innovation at Generali Asset Management.
“The decision to inaugurate the Financial AI Academy was born from the desire to provide financial sector professionals with the tools necessary to fully understand the algorithms and emerging technologies in the field of Artificial Intelligence,” he declared Vittorio Carlei, Founder and Head of Research and Development of Qi4M. “This approach will allow them to apply these technologies with greater confidence and awareness in their innovation processes. We consider training as the most effective means to facilitate the adoption of these new technologies in every area."
