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?

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?

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?

Closing Keynote: Leveraging AI and ML to optimise trade performance and execution quality

• Buy and build considerations
• Managing data quality issues
• Leveraging GenAI, ML and AI agents in algorithmic trading

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