Archives: Agenda

• How should companies create bandwidth and investments for young talent?
• How do we enroll mentorship programs to prepare the younger generation for an AI-enhanced workforce?
• With a global talent shortage how do we upskill younger workers to develop in an AI-driven job market?

As financial services firms look to integrate AI, questions of sovereignty, specialisation, and ethics have never been more important. Generic, off-the-shelf models struggle with the regulatory, compliance, and risk demands of this industry. This session will explore why sovereign AI, built on domain-specific data, and vertically tailored solutions are critical to ensuring safety, transparency, and trust. We’ll also discuss the role of ethically developed LLMs, like FinLLM, in helping financial institutions embed AI responsibly, avoiding common pitfalls while enabling business teams to capture genuine value.

• The proliferation of AI agents within portfolios, blockchain and investment management
• How can AI agents be used in reality and where are the used cases
• Successful strategies vs Trial and error stories

• How do you perceive the current state of AI and automation adoption?
• Exploring communication techniques to maintain a balanced level of integrated AI strategies and initiatives
• Productionising GenAI – is it giving the right information?

• Building a resilient change in the digital landscape and security
• Driving intelligent, real-time decisions
• Unlocking the power of data
• Scaling without complexity
• Futureproofing against emerging threats

• How are we managing operational risks of AI whilst also saving time and costs?
• Complying with evolving regulations
• Can Agentic AI enhance credit risk modelling and fraud detection validity?
• What cases does the industry need to see to adapt forward?