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AI is transforming the banking sector, but real-world implementation is far more complex than industry headlines suggest. In this session, we move beyond high-level discussions to explore the practical realities of AI adoption in financial institutions — from technical and infrastructure challenges to talent and regulatory hurdles that shape the success of AI initiatives.

The webinar will be led by our founder, Jay van Zyl. Joining him is Matthew Hindley, founder of X-idian, an IT services and consulting company. This webinar will provide an inside look at the structural barriers and enablers that determine whether AI and machine learning can deliver real business value in banking.

With a focus on banking and financial services, we’ll examine the key considerations for AI adoption, such as infrastructure requirements, technology shifts, talent and enterprise gaps, and regulatory compliance factors.

Event Description: Welcome to the AI Frontiers Forum: London, a distinguished event where the cutting-edge of artificial intelligence meets practical implementation. This forum is meticulously crafted for industry leaders eager to bridge the gap between aspirational AI objectives and their real-world application.

Why Attend? The AI Frontiers Forum: London is more than a gathering; it's a convergence of pioneering ideas, actionable solutions, and expert-led discussions. Our event features a series of insightful talks and panel discussions helmed by renowned thought leaders in AI.

Agenda 11:00 - 11:30 - Responsible AI in Finance & Insurance by Carwyn Rahman 11:30 - 12:00 - Unraveling Bias: Navigating the Fine Line Between Utility and Unethical Practices by Franki Tabor 12:00 - 12:30 - AI Oversight and Compliance Function by Wojtek Buczynski 12:30 - 13:00 - Operationalising ethics and governance through hybrid intelligence by Ken Cassar

Topics Key topics include:

• Triumphing in the AI-first world: Understanding the critical role of AI in the evolution of financial services and preparing for BigTech competition. Exploring the importance of data maturity to leverage AI opportunities effectively.
• The AI outlook: Discussing the increasing necessity of AI adoption for banks and the foundational role of data maturity for AI success.
• Structuring unstructured data: Exploring AI's capability in managing unstructured data and the opportunities in accessing open and third-party data.
• From data lakes to cloud: Best practices for managing large data volumes, ensuring security, and maintaining good data governance to unlock AI’s transformative capabilities in banking.
• Avoiding AI bias: Strategies to mitigate data bias and ensure fairness in AI applications within financial services.
• Optimising AI and Machine Learning: Overcoming data challenges to enhance intelligent insight, including closing data siloes and dealing with dirty data.
• Automation in data strategy: Utilizing automation for data migration, creating a unified system of records, and achieving real-time data structuring for actionable insights.
• Banking in the generative AI era: Building a blueprint for generative AI readiness in banking, from customer experience (CX) enhancements to employee empowerment through Robotic Process Automation (RPA) and generative AI.
• Generative AI in action: Revolutionising banking onboarding processes with generative AI for KYC, ID verification, and hyper-personalisation.
• Generative AI beyond the hype: Identifying tangible benefits and real-world applications of generative AI in banking, from improving customer experience to streamlining operations and enhancing compliance efforts.
• Real-world benefits of generative AI: Pinpointing operational and customer service improvements through AI.
• Overcoming adoption barriers: Facilitating generative AI integration across banking teams and departments.
• Separating hype from reality: Distinguishing actionable generative AI applications from fleeting trends.
• Generative AI for enhanced CX: Identifying customer service touchpoints for AI innovation.
• Streamlining CX with generative AI: Utilizing AI for efficient customer service operations.
• Operational success with generative AI: Adapting AI strategies across different banking departments.
• Generative AI and RPA: Exploring the synergy between AI and automation for strategic operations.
• Enhancing compliance with generative AI: Leveraging AI for KYC, due diligence, and customer outcomes.
• The future of banking with AI: Predicting the balance between human and digital interfaces in the banking sector."

Target Audience: This forum is specifically designed for executives and key decision-makers across diverse sectors, including Finance & Banking, Software & Tech, Manufacturing, Transportation, Public Sector, and Life Sciences. It's an essential platform for those committed to integrating AI into their strategic vision.

Networking and Collaborative Opportunities: AI Frontiers Forum: London is not just about insight; it’s about connection. Engage with industry peers, partake in enriching discussions, and forge partnerships that can elevate your AI initiatives.

Join Us: Be a part of this exclusive forum where visionary AI concepts are transformed into impactful business solutions. Discover, debate, and design the future of AI in your industry. Secure your place at AI Frontiers Forum: London and turn your AI ambitions into tangible outcomes. Embark on a journey to redefine AI's role in your business and beyond. We eagerly await your presence at the AI Frontiers Forum: London.