Session details to be announced

Tom Codling

Solutions Engineering Leader, EMEA
Securiti.ai

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In the evolving landscape of generative AI, Bupa has been at the forefront of innovation, transforming early-stage ideas into actionable pilots. With excitement and confusion surrounding the technology, Bupa’s approach emphasizes building capabilities, fostering trust, and driving responsible AI initiatives. This session dives into how Bupa is developing a GenAI strategy, from ideation to production, while navigating cloud maturity, data trust, and disruptive innovation.

•      Building cloud capability and foster trust in business data for AI tools.

•      Encouraging early-stage ideation through sandbox environments and democratized innovation processes.

•      Implementing responsible AI practices to ensure ethical and trustworthy customer-facing solutions.

Ben Tagger

Head of Data Science and AI
Bupa

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Deepfakes present a dual-edged sword of innovation and risk, posing unique challenges for media integrity, consumer trust, and enterprise security. In this session, Ofcom will share recent findings on the strengths and vulnerabilities of deepfake tools, including watermarking techniques, metadata schemes and content labelling methods.. Attend to delve into:

• Evaluating deepfake tools for robustness, identifying where they excel and where they fall short.
• Implementing watermarking and tracking methods to ensure transparency and security in synthetic content.
• Understanding how content labels can be used to help people make better sense of what they’re seeing.

Jessica Smith

Technology Policy Manager
Ofcom

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With GenAI at the peak of its hype cycle, many are questioning whether now is the right time to invest. Despite its promise, GenAI brings challenges like high costs, risks, and the need for enterprise transformation.

This presentation will provide practical insights to navigate the complexities of GenAI deployment effectively:

•      Real-world use cases where GenAI addresses business challenges

•      Key considerations for building a GenAI capability

•      Lessons learned from implementing GenAI at Philips to support AI initiatives

Ivan Shiryaev

Head of Marketing & Commercial Analytics
Philips Healthcare

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The insurance industry stands at a pivotal crossroads as generative AI transforms core operations from underwriting, to claims management to customer support. Generali's journey in implementing AI across its business functions offers valuable insights into the challenges and opportunities of this technological revolution. This session explores how Generali is leveraging AI to enhance efficiency, personalize customer experiences, and drive innovation in a traditionally conservative industry.

Business leaders can effectively harness generative AI in insurance by:

•      Fostering a culture of AI literacy and experimentation through company-wide training and innovation methodologies

•      Balancing internal innovation with strategic partnerships to accelerate AI adoption

•      Prioritizing use cases that enhance customer experience and operational efficiency

Stefano Biondi

Head of Data Science and Data Engineering
Generali Real Estate

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As enterprises rush to adopt generative AI, finding the right balance between innovation and strategic restraint is crucial for sustainable success. This session explores how organizations can determine the optimal level of GenAI investment and integration to maximize value while mitigating risks and avoiding resource overcommitment.

•      Developing a value-driven GenAI roadmap aligned with core business objectives and capabilities

•      Implementing agile experimentation frameworks to rapidly test and scale GenAI initiatives

•      Establishing cross-functional governance structures to ensure responsible and strategic AI adoption

Jim Edwards

Director Digital Marketing & Innovation
Kimberly-Clark

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Dylan Jacques

Group Technology Director
Telegraph Media Group

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David Vinagre Solans

AI Agile Delivery Centre Lead
Santander

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As the generative AI hype plateaus, a strategic, long-term approach is crucial for sustainable success and real value creation. This talk explores a comprehensive framework for embedding GenAI into enterprise strategy, focusing on challenge-led implementation, robust governance, effective success metrics, and scalable deployment methodologies.

•      Prioritizing challenge-led use cases that align with core business objectives

•      Implementing robust governance frameworks to ensure ethical and compliant AI use

•      Developing clear success metrics and scalable deployment strategies for long-term growth

Natalia Konstantinova

Architecture Lead in AI
bp

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As generative AI reshapes the business landscape, fostering widespread AI literacy across all organizational levels has become a critical competitive advantage. By equipping employees with the knowledge and skills to understand, interact with, and leverage AI technologies, companies can unlock unprecedented levels of innovation, efficiency, and problem-solving capabilities.

• Implementing comprehensive AI literacy programs tailored to different roles and departments.

• Developing hands-on AI workshops and sandboxes to encourage practical learning and experimentation.

• Establishing clear career pathways that incentivize continuous AI learning and skill development.

Philippa Penfold

Responsible AI & Data Science Manager
Elsevier

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Tom Kelleher

Director of Technology - AI & Personalisation
Telegraph Media Group

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In this session, Bilal will outline their approach for ensuring they have the right data to drive successful AI outcomes.

-       Leveraging Generative AI as one of the potential solutions rather than the solution to all problems.

-       Identifying the most important data to support organisational goals.

-       Developing a data governance and maintenance structure

-       Harmonizing data across the business.

In this session, Nick Brown, Executive Head of Predictive AI & Data, will explore how leveraging knowledge graphs and AI can significantly improve data accuracy, scalability, and enterprise search capabilities within the pharmaceutical industry and beyond. He’ll share first hand examples of how his team uses GenAI & imaging to predict safety, toxicology and clinical challenges. Dive into the complexities of deploying AI at scale by:

·       Leveraging knowledge graphs to enhance data accuracy and scalability across the enterprise

·       Showcasing use cases to that improve our understanding of real-world implementation

·       Exploring what future opportunities exist for drug discovery

Nick Brown

Executive Head of Predictive AI & Data
AstraZeneca

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In today's data-driven economy, organizations are sitting on vast troves of information that could potentially be transformed into significant revenue streams. However, challenges such as data quality, regulatory compliance, and ethical considerations often hinder effective data monetization strategies. This panel explores how enterprises can leverage generative AI and advanced analytics to unlock the full potential of their data assets while navigating the complex landscape of data governance and privacy.

Business leaders can drive successful data monetization by:

•      Implementing robust data quality and governance frameworks to ensure reliable insights

•      Exploring innovative data products and services that align with market demands

•      Balancing data monetization efforts with ethical considerations and regulatory compliance

Claudia Villasis-Wallraff

Head of Data Driven Treasury
Deutsche Bank

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Parag Kumar

ED; Head of EMEA Data Analytics for Compliance, Conduct & Operational Risk
JPMorgan

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Pier Paolo Monticone

Head of AI-Assisted Data-Driven Innovation Lab
JTI (Japan Tobacco International)

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As generative AI adoption accelerates, its environmental impact becomes a critical concern for responsible and forward-thinking enterprises. Implementing sustainable AI practices is not only crucial for reducing carbon footprints and energy costs but also for meeting stakeholder expectations and regulatory requirements while driving long-term business value.

• Implement energy-efficient AI infrastructure and optimize model architectures for reduced power consumption.
• Develop comprehensive carbon tracking and reporting systems for AI operations.
• Integrate sustainability metrics into AI project evaluations and decision-making processes.

Paul Dongha

Head of Responsible AI & AI Strategy
NatWest Group

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As generative AI reshapes the business landscape, ensuring inclusivity and accessibility is not just ethical—it’s a strategic imperative. Inclusive AI has the power to democratize technology, break down barriers for people, and unlock unprecedented opportunities for innovation and growth. This panel explores how enterprises can harness the transformative potential of AI to create more inclusive products, services, and workplaces.

• Prioritizing diverse representation in AI development teams and training datasets.
• Implementing accessibility features in AI-powered tools from the design phase.
• Fostering partnerships with advocacy groups to inform AI strategies.

Paul Kerrison

Generative AI Product Manager
ITV

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Konstantina Kapetanidi

Head of CRM and AI Sales Enablement
Schroders

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Jad Freiha

Head of Analytics and Insights
Sweaty Betty

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Nataliya Tkachenko

ESG Data & AI Strategy Lead
Lloyds Banking Group

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Adopting new technologies, especially generative AI, can bring transformative benefits, but maintaining the human touch is critical in any process. As businesses navigate the integration of AI into workflows, preserving creativity, empathy, and customer connection is key to successful implementation. This session explores how business leaders can inspire teams to embrace tech while ensuring human-focused processes remain intact.

• Fostering a culture that integrates AI without sacrificing creativity or personal interaction.
• Implementing tech incrementally, focusing on small, meaningful touchpoints across the business.
• Encouraging collaboration between AI teams, legal departments, and customer-facing units to ensure balance.

Sabrina Godden-Tuma

Global Creative Director
Vodafone

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Generative AI is reshaping the landscape of creative industries, offering unprecedented tools for innovation, efficiency, and artistic expression. Understanding the impact and potential of AI in creative fields is crucial for businesses to stay competitive, unlock new revenue streams, and redefine the boundaries of human-AI collaboration in content creation.

• Implementing AI-powered ideation tools to enhance creative processes and spark innovation.
• Developing ethical frameworks for AI use in content creation, addressing copyright and authenticity.
• Fostering a culture of AI-human collaboration that amplifies, rather than replaces, human creativity.
• Understanding the role of Gen AI in automating Content Supply Chain to maintain relevance and engagement across vast customer bases
• How can GenAI be leveraged to drive hyper-personalisation by tailoring creatives to individual preferences and behaviours

Sabrina Godden-Tuma

Global Creative Director
Vodafone

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Varun Vashist

Head of Marketing Technology Portfolio & Transformation
Sky

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Robert Smith

Head of Emerging Technologies
Flutter Entertainment

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Giles Crown

Partner
Taylor Wessing

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