At the third annual WealthTech Summit in Monaco, experts gathered to discuss how artificial intelligence is reshaping the future of investment management. With AI unlocking new ways to analyse vast amounts of data, Simon Weinberger of BlackRock shared his insights into how this technology is transforming strategies and boosting returns for clients.
The WealthTech Summit, an initiative organised by the Monegasque Government in partnership with the Monegasque Association of Financial Activities and held on 17th October at One Monte-Carlo’s Jean Cocteau conference space, brought together financial professionals connected to the Principality for wide-reaching discussions on AI’s growing impact on private banking and wealth management.
Through the theme of Artificial Intelligence and Investment: The New Frontiers in Finance, the event highlighted AI’s role in refining decision-making, strategy development, and personalising client services.
See more: Interview: Tech expert Svend Albertsen on the power and potential of artificial intelligence
Simon Weinberger, the Managing Director of BlackRock and the head of its Systematic Active Equity team, was among the key speakers at the event. He shared how AI has been integrated into BlackRock’s investment process.
“AI has given us the foundation to analyse data that was previously too complex,” he said, adding that leveraging AI allows the global asset manager to process vast datasets that were previously impossible to tackle manually.
Weinberger also highlighted BlackRock’s proprietary signal library, a system that scans large volumes of market data to identify trends and patterns, including unstructured data such as consumer behaviour and social media. The Augmented Investment Management (AIM) system combines machine learning with human insight to enhance investment models and improve returns for clients.
Weinberger emphasised how AI is crucial for analysing the full consumer cycle, allowing for more precise investment strategies, while also highlighting the importance of balancing machine learning with human expertise to stay competitive in a data-driven market.
The summit also touched on AI’s role in global markets, particularly the increasing influence of data from China and the reliability of official statistics.
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