Summits Day
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?
- Josko Grljevic - Chief Technology Officer, Mayfair Equity Partners
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?
- Tola Kibbey - Principal, Data Scientist, CVC Secondary Partners
- Helena Malikova - Intelligence Team, Foreign Subsidies Directorate, DG Competition, European Commission
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?
How can private equity firms adapt value creation plans to review them every 3-6 months for better responsiveness? What steps can be taken to ensure value creation plans guide real decisions rather than just reporting cycles? How can agile methodologies be leveraged to optimise portfolio performance throughout the investment lifecycle?
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?
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 major firms leveraging dedicated tech strategies to transform traditional sectors? What are the critical steps in implementing software solutions to streamline processes, optimise workflows, and enable market expansion for traditional companies? What are the broader implications of turning traditional sectors into tech-enabled growth engines for long-term sustainability and market leadership?