15 posts found
Asset management firms are turning to AI to streamline their data analysis, particularly when extracting insights from fund performance reports and capital statements. The combination of machine learning, natural language processing, and intelligent automation represents a powerful toolkit for extracting meaningful insights from complex financial documents, embedding them within their existing workflows.
2023 saw a significant acceleration in the use of generative AI across sectors. But along with the advantages, there are challenges. It's important to understand the downsides of this exciting technology, assessing risk appropriately.
Document processing stands out as a notable development for PE firms, leveraging artificial intelligence to extract data from complex documents, at scale.
With overall available capital in decline, LP fundraising in Private Equity is tougher than ever. Here we'll explore how investor relations teams can use some of the latest technology to move that fundraising process along.
Banks are deploying new technology at scale. Here we explore the role of machine learning and AI in identifying and managing emerging risks.
Despite AI and big data becoming a key component of public markets, private equity remains a world where signals are harder to find. Here we explore a growing trend toward using technology to accelerate the origination process.
Improving origination in Private Equity using artificial intelligence
The use of artificial intelligence (AI) in private equity is gaining traction as a way to improve decision-making and drive returns. By leveraging data-driven insights, AI can help private equity firms identify potential investment opportunities, assess the risks and rewards of different investments, and optimise portfolio performance.
Banks will continue to invest in transforming their products and enhancing client experience. As the technology matures, explainable AI will allow for rapid information gathering across large organisations and much faster decision-making.
A third of all UK companies are classified under SIC Codes that start with ‘Other’. Most of the industry classifications we use today were developed during the industrial age.
With investors in equities and debt markets experiencing a generational sell-off, Private equity investors must prepare for uncertainty as well as opportunity.
Data has quickly become an integral part of any well-run business and nowhere is this more relevant than in finance, from market-making to lending decisions. Here we’ll explore the opportunities that remain untapped.
Banks that are able to implement new technology accelerate away from the group and gain market share.
GPT-3 and its potential applications in finance.
Banks have been talking about innovation for years,but the reality is complicated. Legacy systems, robust processes and growing regulatory requirements stand in the way of progress.