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5th-6th June 2025

Exploring the future of AI-powered Banking & Insurance

Digital Banking & Insurance Experience Summit

London - UK

About The Event (5) (1)

About The event

AI is revolutionizing the financial sector throughout Europe, allowing banks to provide more tailored, efficient, and safe services. In a locale characterized by varied regulatory frameworks and swiftly changing consumer expectations, AI solutions are enabling Financial Services to streamline operations, mitigate fraud, and improve client experiences. European banks & insurers are utilizing AI, including AI-driven chatbots and robo-advisors for round-the-clock help, as well as sophisticated machine learning algorithms for market trend prediction and real-time anomaly detection, to maintain competitiveness. With the rapid advancement of digital transformation, AI-driven banking & insurance is emerging as the foundation of innovation within the European financial sector, providing a future of more intelligent and adaptable financial services.
The Digital Banking & Insurance Experience Summit is a two-day event that will explore the ways in which AI is improving consumer experiences, improving operational efficiency, and reshaping digital banking strategies. Through expert-led sessions, panel discussions, and networking opportunities, attendees will acquire a deeper understanding of the most recent AI-driven innovations and best practices in finance.

Whether you want to stay ahead of the AI curve or find ways to improve financial services, this conference is the perfect place to explore the future of AI-powered banking. Join us in London to engage with industry leaders and learn about the ways in which AI is transforming the banking sector.

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Dive into the interactive world of Digital banking

Discover the Next Era of AI-Powered Insurance

London

Key discussions

Generative AI powered by deep learning:

The McKinsey Global Institute (MGI) estimates that Generative AI could contribute between $200 billion and $340 billion annually to the global banking sector, or 2.8% to 4.7% of total industry revenues, primarily through enhanced efficiency. This underscores GenAI's capacity to revolutionize financial organizations by optimizing operations, improving decision-making, and minimizing expenses. GenAI automates functions including risk assessment, customer service, and compliance, while producing predicted insights and tailored interactions. To maximize its advantages, banks must establish strong data governance and seamless integration, allowing them to provide more intelligent, rapid, and tailored services.

Enhanced fraud detection:

Advancements in AI, machine learning, and deepfakes are expected to significantly contribute to the anticipated increase in fraud risks, as 70% of financial professionals predict. In order to combat fraud, financial institutions are prioritizing technology investments, with over two-thirds of them prioritizing AI fraud detection. In order to identify suspicious activities by perceiving patterns and anomalies, AI fraud detection employs machine learning models to filter through extensive datasets. These algorithms become increasingly adept at anticipating and preventing fraudulent user behavior as they continue to acquire new data. Advantages of AI fraud detection include cost-effectiveness, improved predictions with larger datasets, reduced manual review time, and quicker, more efficient solutions.

Personalized Customer Experience:

Artificial intelligence (AI) can be used by banks to provide personalized customer experiences. AI can analyze a customer's financial history, spending patterns, and investment behavior to offer tailored financial advice. It can also predict customer needs based on past transactions and interactions, allowing banks to offer proactive solutions. AI-powered chatbots and virtual assistants can provide 24/7 assistance, offer dynamic product recommendations, and detect and prevent fraud. AI can also create customized marketing campaigns, assess creditworthiness using non-traditional data, and enhance interactions through emotional sensing. Hyper-personalized user interfaces can be provided by AI, highlighting relevant services or frequently used features. AI-powered tools can automate financial management, helping customers automate their savings, investments, and budgeting. These AI-driven strategies can strengthen customer relationships and enhance satisfaction and loyalty.

Why attend?

Discover the most recent developments in artificial intelligence technologies that are transforming the banking and insurance sectors, including data-driven decision-making, machine learning, and automation. Attendees can see how these advancements might enhance operations, customer service, risk assessment, and product offerings across both industries.
The summit will underscore the potential for future disruptions in the financial industry, with a particular emphasis on AI applications such as advanced fraud detection, autonomous finance, and generative AI. Attendees will acquire vital insights into the industry's future and strategies for adapting.
Real-world examples and case studies of AI applications in banking and insurance will be presented. Participants will discover how prominent banks, insurance and fintech companies are utilizing AI for digital transformation, tailored consumer experiences, risk management, and operational efficiency.
The event provides a unique opportunity to connect with senior executives, AI experts, and digital transformation leaders from banks, insurance and fintechs, and regulatory bodies. Building these relationships can open doors for partnerships, collaborations, and knowledge exchange.
The event serves as a forum for acquiring knowledge regarding the utilization of advanced AI technologies in the banking and insurance sector. The knowledge of attendees can be expanded, and they can return with actionable strategies to implement within their own organizations.

Who should attend?

CXO’s, VPs, Directors, Heads, and Managers:

  • Technology
  • Innovation
  • Digital 
  • Data
  • Operations
  • Information
  • Fraud & Risk
  • AI/ML
  • Data Science
  • Automation
  • Strategy
  • Digital Transformation
  • Digital Banking
  • Open Banking
  • Customer Experience
  • Customer Insights
  • Customer Engagement
  • IT
  • Cloud Architect
  • Compliance
  • Cybersecurity
  • Ethics & Governance
  • Product Owner/Manager/Director

Topics to be covered

  • Open Banking
  • InsureTech
  • Sustainable Finance
  • Digital Finance
  • Customer Experience
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AI-Powered Financial Services

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Machine Learning in Banking & Insurance

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Data Analytics & Customer Insight

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AI for Fraud Detection

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Personalization in Financial Services

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Customer Journey Optimization

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AI-Driven Chatbots & Virtual Assistants

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Embedded Finance & InsurTech

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Underwriting Transformation

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Intelligent Claims Processing

Jennifer Hudson

Project manager

John Lewis

Event manager

Anna Sanders

Creative director

Brian Long

Speaker

Lisa Parker

Staff manager

Rosalia Bell

Videographer

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