Agenda

12:15pm

Registration and Sponsor Networking

1:00pm

Opening & Welcome

1:10pm

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?

1:55pm

Buy and Build case study: Interop.io

2:25pm

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?

3:10pm

Afternoon Break and Networking with Sponsors

3:40pm

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?

4:25pm

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

4:55pm

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

5:10pm

Networking drinks

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