Archives: Agenda

• Evaluating challenges in enhancing APIs and ChatGPT in finance
• Discussing measures to manage data risks to protect customers?
• Investigating compensation claims and the scope to improve CX platforms

• Investigating opportunities and encouraging women working in AI
• How can we improve an imbalance in diversity and inclusion within Finance?
• Building from the past; how can we learn from others to present greater opportunities to women in AI?
• Shaping innovation and culture in AI for a better future

As AI takes centre stage, the discourse surrounding it often falls prey to oversimplification, portraying it as a singular entity. However, AI is a multifaceted array of distinct capabilities, ranging from automation to personalisation and beyond. By unpacking AI and exploring the individual capabilities behind it, we are able to better exploit it in the process of design.

In this presentation we will share our AI-Capability-Design-Pack which we developed to identify, assess and articulate design opportunities along any given customer journey. Our framework helps speed the process of identifying where AI can improve a customer journey as well as surface unexpected opportunities.

•GenAI use cases with the largest impact in financial institutions
•GenAI adoption path for financial institutions
•GenAI technologies: Software and Hardware
•Conducting PoC for GenAI technologies

In the murky world of AI on Kubernetes, shadows and light converge to reveal opportunities and vulnerabilities. Explore how to attack, monitor, and defend AI systems on Kubernetes from an attacker’s perspective, and discover what the community is building and repurposing to secure the next generation of technologies.

By understanding supply chain vulnerabilities unique to AI on Kubernetes, we can better secure our AI assets while harnessing the agility and scalability of cloud native systems. This talk provides actionable insights to enhance security measures in the AI lifecycle on Kubernetes, as we:

•Examine layers of risk between data collection and model inference
•Analyze the attack vectors associated with model training data within Kubernetes
•Conduct threat modeling specific to machine learning topologies on Kubernetes
•Propose cloud-native solutions to enhance data integrity and model security

Financial institutions must navigate complex and ever-changing compliance challenges. Join Anna Rachel Mason, Partner Solutions Consultant at Appian, and Rhys Jones, Director at NextWave Consulting, to explore how AI-powered solutions can streamline compliance. This session will break down compliance requirements and demonstrate Appian’s innovative tools in action, showcasing practical applications that enhances visibility into operational resilience and efficiency