73 Strings
4 min read
Strategic Considerations : Using AI for Monitoring and Valuations
An analysis of insights from some of the world’s largest fund managers and their Chief Technology Officers (CTOs) indicates that most firms are at some stage between exploration and implementation across a wide range of AI use cases—a finding that comes as no surprise.
Key Findings:
- Overcoming AI Adoption Barriers: Security concerns emerged as the primary obstacle to AI adoption, closely followed by data quality issues. Addressing these challenges is essential to unlocking AI’s full potential in private capital.
- AI in Portfolio Monitoring: There is increasing recognition of AI’s ability to enhance portfolio monitoring. Participants showed interest in leveraging AI for data structuring, portfolio reviews, insights generation, and anomaly detection.
- AI for Valuation: The valuation process is seen as a prime candidate for AI-driven disruption. Respondents highlighted AI’s potential to improve judgment, harness market data insights, quantify risk, and enhance forecasting models.
- Strategic Implications of AI: AI offers significant potential for strategic decision-making in private capital. Participants identified portfolio benchmarking, early warning systems, smart report generation, and increased deal flow as key areas for AI-driven innovation.
“Thank You to Our Valued CTO Network. I would like to extend our heartfelt thanks to all the Chief Technology Officers who contributed their valuable intelligence to this report. Your expertise and perspectives were instrumental in shaping our understanding of AI’s evolving role in the private capital industry. Your willingness to share your experiences and challenges has provided us with a deeper and more nuanced view of the current landscape. We are grateful for your time and thoughtful input, and we look forward to continuing this important dialogue as we navigate the future of AI together.”
Abhishek Pandey
Deputy CEO and Co-Founder, 73 Strings