Augmenting Private Equity Expertise With AI

Artificial Intelligence offers exciting new opportunities for private equity, as it continues to redefine the landscape. Whether Generative AI (GenAI), advanced machine learning (ML) and analytical AI, or big data, these technologies hold significant potential throughout the deals process, from origination to due diligence and beyond. Yet, so far, the private equity sector has demonstrated a somewhat conservative approach in adopting these tools throughout fund and portfolio company operations. 

While private equity firms face distinct challenges in AI adoption, many are missing the opportunity to create significant value, particularly early in the investment life cycle. Success depends on finding solutions that augment the expertise and emotional intelligence of people at the various stages of a deal, to deliver AI-driven value creation opportunities - from locating better deals, to data analysis, research, contract review, and more. 

The integration of AI will undoubtedly become a key differentiator for private equity firms. But it must be embedded correctly into the fabric of the organisation to ensure it is an enabler of people, rather than a replacement. This FT webinar, presented in partnership with PwC, explored practical ways that private equity firms can adopt AI solutions to augment expertise and deliver new sources of value. Drawing from cross-industry experiences, particularly in GenAI implementation, it will identify high-value use cases and discuss how technology strategies can be aligned with business objectives to ensure AI value creation at every stage of a deal.

AI’s Role in Competitive Deal Sourcing

  From market research to proprietary investment engines, where is the potential for AI in a competitive deal sourcing environment?

AI-Powered Due Diligence

How can AI tools transform traditional due diligence processes while maintaining accuracy and reliability?

AI in Risk Management: 

What are the implications of AI-driven risk management in identifying, evaluating, and mitigating potential investment risks? 

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