PANELS ON PUBLIC MARKETS & ALTERNATIVE INVESTMENTS: HEDGE FUNDS, PRIVATE EQUITY, VENTURE CAPITAL

• Hedge Fund Adapting to a Shifting Market Landscape: Innovative approaches to generate alpha and manage risk, increasing use of alternative data and AI in portfolio management. Investor expectations. Why have so many funds been failing / lagging the indices and what strategies are most / least likely to benefit from the Fed's pivot recent pivot.

• The Future of Private Equity and Venture Capital: Insights on capital deployment, sector-specific opportunities, and the shifting valuations. How macroeconomic conditions are influencing deal flow and exit strategies. Emerging technology opportunities. How to adapt to these challenges?

• Macro Outlook and Asset Allocation - the Next 12 Months: Global economic outlook, inflation expectations, interest rate trends, corporate credit risk, geopolitical risks. Strategies for balancing risk and opportunity across major asset classes.

• Trends in Quantitative Equity Investing: Traditional factor-based risk premia vs pure alpha. Integration of LLMs and generative AI into quantitative strategies. Deploying AI/ML for systematic trading strategies. Real case practices. What are the misperceptions?

• Breakthrough Advancements in Healthcare & Life Sciences - The Convergence of AI & ML: The ongoing transformation created exciting opportunities for investors. Explore market trends, investment strategies, regulatory hurdles, and future prospects as we head into 2025.

• Innovative Public and Private Investments in Clean Energy Transition and AI Technologies: AI-driven data center growth is pushing energy demand higher. How can we meet this with affordable, reliable, and low-carbon or carbon-free energy? Focus on the shift to a low-carbon economy.

• Allocators' Perspectives on Alpha Opportunities in 2025: The changing investment landscape and how to implement a mix of traditional & alternative investment classes & strategies into a portfolio.

• The Art & Science of Constructing an Elite Fund of Funds Portfolio: How to identify managers who are capable of making successful investments in all business cycles. Blending quantitative analysis with qualitative assessments.

PANELS ON FINTECH & DATA REVOLUTION - ALTERNATIVE DATA, DIGITAL ASSETS, LARGE LANGUAGE MODELS, MACHINE LEARNING, AND ARTIFICIAL INTELLIGENCE

• AI Governance and FinTech Compliance: Potential impact of massive increases in government regulations around the use of AI. Growth of Open Source AI has seen increase in the use of smaller models. Global implications of the EU AI Act. Predictions on changes to GDPR, CCPA, NYDFS to account for use of AI in regulated sectors. Use cases for FinTech and generative AI within these new regulatory guardrails.

• AI in Public & Private Markets. Innovation, Adoption, and the Role of Human Analysts: As AI technology reshapes industries, what does early adoption in finance look like? Will it lead to the replacement of human financial analysts? Current landscape, future expectations, and barriers to innovation. Handling AI challenges such as "hallucinations," and how these affect adoption rates and industry trust.

• AI Workflows - Lessons, Wins, and the Road Ahead: AI-driven workflows are evolving rapidly, particularly in unstructured data and natural language processing. Key learnings from early implementations, breakthroughs in LLMs, and how these innovations are transforming data analytics. Barriers to progress, the impact of AI inaccuracies, and expectations for the future of AI integration in financial workflows.

• Alternative Data - Trends, Sectors, and Monetization: New sectors are emerging and international markets are opening up. Trends in monetization. Where can competitive advantages be found. The growing use of alt data by PE and VC, and how due diligence is transforming.

• Future of KPI Creation - Data Integration and the Data Value Chain: Creating key performance indicators (KPIs) and integrating multiple data sources is critical for firms aiming to stay competitive. Innovative approaches to KPI creation, emphasizing the value chain and integration of diverse data sets and utilizing ML/AI. Best practices for leveraging data-driven insights to enhance alpha generation and operational efficiency.

• The Importance of Reliable Data in the Digital Asset Ecosystem: Data is the backbone of the digital asset industry, but its value hinges on its accuracy and reliability. Why clean, high-quality data are essential for driving innovation, reducing risks, and ensuring compliance in digital asset markets. Best practices for data management and how it impacts everything from token valuation to market liquidity.

• Tokenization - Revolutionizing Asset Ownership: Tokenization is transforming the way assets are owned, traded, and managed. How is tokenization creating new opportunities by enabling fractional ownership, improving liquidity, and democratizing access. Current landscape, regulatory challenges, and what the future holds for tokenized assets in both public and private markets.

• Public vs. Private Blockchain - Choosing the Right Path for Your Business: The key differences between the two, exploring their respective advantages in terms of security, scalability, transparency, and control. Insights into which blockchain model best suits different industries and use cases from financial services to supply chain management.

• The Current State of Crypto and Blockchain - Global Macro Trends and Predictions: How these technologies influence global macroeconomic trends. Regulatory challenges, market volatility, and the outlook for crypto and blockchain adoption across industries. Insights into the future trajectory of digital assets and their potential to reshape the global financial landscape.

• Increasing Sophistication in Digital Assets and the Emergence of Derivatives: The financial landscape for digital assets is becoming increasingly sophisticated, with advanced financial instruments and investment strategies gaining prominence. Progression of digital asset trading, emphasizing the emergence and expansion of derivatives within this sector.

• From Hype To Handoff - LLMs at Work in the Real World: This panel will cut through the buzz and explore practical deployments of Large Language Models, zooming in on what works and and what doesn't. Through specific examples of implementations, we will explore both the technical and organizational perspectives in moving from executive excitement and ideas to proof-of-concepts and day-to-day operations.