Opening & Welcome
Andrew Delaney, President & Chief Content Officer, A-Team Group

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?

Moderator: Steve Grob, Founder, Vision57
Oskar Wantola, CFA, Managing Director, Head of Execution Technology, Man Group
Jon Butler, Co-Founder & CEO, Velox

Keynote: Making a Buy and Build strategy work for trading

Gain practical insights from case studies across a selection of use cases including: FX NDF single dealer platform; Futures & options trading; ETF create redeem workflow automation; Low-touch cash equities flow monitoring; Cross asset trading risk & position management.

Learn:

• How should firms strike the right balance between buy and build to enable strategic workflow modernisation at speed and scale?
• What are the lessons learned from a collaborative partnership and rapidly achieving a live product?
• What are the benefits of streamlined workflows and specialised tooling and functionality to support continuous evolution in this space?

Jon Butler, Co-Founder & CEO, Velox

Keynote: Keysight 

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
Martina Satherlund, Independent Market Data Specialist
Richard Bell, Head of Engineering, CoinShares

Buy and Build: Evolving the interop strategy
Representative from Interop.io

Keynote: Reserved for sponsor

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, Chief Technology Officer, Kepler Cheuvreux
Will Winzor-Saile, Partner, Execution Analytics & Architecture, Redburn Atlantic

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

Networking drinks