Summits DayMonday, 8 June 2026

How is AI transforming data analysis, operational efficiency, and customer experience in private equity? What steps can firms take to move beyond pilot projects and implement scalable, high impact AI use cases? What are the key barriers, such as lack of understanding and security concerns, preventing firms from unlocking AI's full potential?

What are the most common reasons for initiative failures, such as poor implementation and unrealistic business cases? How can firms prioritize initiatives ruthlessly and ensure full ownership and resourcing behind them? What strategies can be employed to build stakeholder buy-in and reduce resistance to improve execution success?

In an asset class in which investment outliers have an outsized impact on returns, AI has the potential to drive return outcomes at the tails – and investment philosophy, culture and proprietary data will define the winners in a world where AI technology is increasingly commoditised

How can private equity firms balance the need for immediate expertise with the long-term benefits of upskilling their workforce? What factors should influence the decision between hiring external specialists and investing in internal talent development for digital transformation? Is a hybrid approach combining hiring and upskilling the most effective strategy for driving sustainable digital transformation in private equity?

How can private equity firms leverage high-quality data as a growth engine to enhance decision-making and value creation? What tools, strategies, and governance frameworks are essential for overcoming data integration challenges and improving analysis processes? In what ways can generative AI and advanced analytics drive efficiency, uncover unique insights, and accelerate growth in private equity?

What challenges do private equity firms face in assessing companies quickly and accurately during due diligence? How can automation improve the speed and accuracy of evaluations? What role does deep integration of technology play in enhancing outcomes throughout the investment lifecycle?

Quickfire presentations

Measure ROI Use Cases delivered in PE portfolios

How can private equity firms effectively drive generative AI adoption across portfolios? Top-down mandates with KPIs vs advisory-led approaches: Which strategy yields better results? What are the key success factors in implementing generative AI across portfolio companies?

What are the key factors driving the global AI innovation race, and how are nations and organisations positioning themselves to lead in this space? How can competition between nations and corporations spur innovation in AI, and what risks or challenges does this competitive dynamic present? How will the global AI landscape evolve in the next decade?

Explore best-in-class value creation in venture capital, drawing insights from a London Business School case study on Global Ventures and the role of emerging markets in shaping global practices. Understand what sustained performance entails, focusing on scale, capital efficiency, and follow-on growth. Gain actionable takeaways on institutionalising value creation, leveraging frameworks, and using constraints as a competitive advantage.

How are you re-assessing your take on segments most affected by AI such as professional services, insurance, education etc. How are you reassessing your take on assets with legacy infrastructure, given lower effort to transform IT with agentic AI tooling?