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Artificial intelligence is transforming the financial markets, particularly in asset management. David Wright from Pictet Asset Management highlighted the use of machine learning, natural language processing, and large language models to enhance investment strategies. A recent Mercer survey indicated that 90% of investment managers are either using or planning to use AI technologies.
Wright emphasized the importance of transparency in machine learning models, which can now provide clear insights into investment decisions. The development of in-house tools, such as a large language model for summarizing financial documents, showcases how AI can streamline processes and improve efficiency in stock picking. As the barriers to implementing machine learning decrease, its impact on generating alpha in investments is becoming increasingly significant.
• 90% of investment managers are adopting AI technologies for stock picking.
• Machine learning enhances transparency and efficiency in investment strategies.
Machine learning is being utilized in asset management to forecast returns and enhance stock picking strategies.
It is applied in investment management to assess sentiment and summarize financial documents.
These models are being developed by firms like Pictet to streamline the analysis of financial reports.
Pictet is leveraging machine learning to enhance stock picking and improve operational efficiency.
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