Intelligent Manufacturing in the Financial Sector. Applications in Asset Management and Trading

Objectives—The goal of the chapter is to enhance the use of intelligent manufacturing in the financial sector, in particular in asset management and trading, combining the technical issues with the ethical and legal implications for protection and data management and thus to generate greater trust and prevent the risk of unreliability.

Methods—The chapter investigates whether intelligent manufacturing integrates the capabilities of people, machines and processes to achieve the best possible production results in the financial sector, minimizing waste and adding value to financial firms.

Novelty—In financial firms, the possibility of minimizing human intervention through cyber-physical systems and artificial intelligence is an important novelty which makes it possible to reduce costs and improve productivity and profitability in portfolio management and trading. It is also necessary to consider the ethical and legal implications deriving from the use of intelligent manufacturing in the financial sector.

Outcomes—The results will show that financial firms recognize a strategic priority in the development of intelligent manufacturing systems and specify an increasing application of it within the phases of the investment process, albeit under continuous human supervision of all decision-making processes and in compliance with ethical issues and privacy protection.