Opening & Welcome

Panel: From monoliths to modular – Staying competitive in a changing world

• How is the buy and build debate evolving considering advances in technology, regulatory drivers like DORA and shrinking budgets for innovation? 
• How should firms build agility into their trading stacks?
• How are firms utilising open source, cloud, APIs, containerisation and messaging solutions for customised trading and to enable connectivity and real time data (re)distribution?
• Beyond technology, how should firms address the cultural and mindset shift to enable the right organisational set up for agility and future tech change?

Richard Bell, Head of Engineering, CoinShares

Buy and Build case study: Interop.io

Panel: Transforming trader workflows with AI and interoperability 

• What progress are firms making in modernising the user experience in trading workflows?
• What are the most critical elements of UX design for trading platforms?
• How are firms integrating AI and interoperability to improve collaboration and create personalised experiences in trading workflows?
• How should AI risks such as hallucinations, explainability and information security be addressed when using AI in trading workflows?
• What are the measurable benefits, KPIs to track and evaluate success for modernising trader workflows?

Anvar Karimson, CTO, Kepler Cheuvreux

Panel: Best of Breed – How to build a curated market data platform

• How can firms address the issues encountered when acquiring market data, such as data quality, coverage, timeliness, cost?
• What are the strategies and technologies to address the complexities of integrating data from various sources?
• What methods and approaches can be used to improve data governance & metadata management to ensure data assets are managed effectively?
• Deployment decision making – cloud vs. on premise vs. hybrid?
• What are the strategies for optimising cost for market data platforms?
• Future proofing: How can AI and ML be incorporated for data analysis and insights?

Moderator: Irina Sonich-Bright, Managing Director, Head of Market Access Product, Agency Trading, UBS

Closing Keynote: Past, present, and future of AI and Machine Learning in trading and investment management

• What have been the main milestones of data analytics and machine learning in asset and wealth management?
• From idea to product: How can data and AI solve the fundamental pain points experienced by investment managers?
• The future of trading: Will AI agents replace traders?
• How can we stay competitive in a world defined by an exponential growth of data and information?

David Marcos, Head of Trading Analytics, Julius Baer

Open Q&A
Ask our speakers anything on topics covered at the event!