Francesco will be sharing some robust case studies in Generative AI for content marketing, focusing on:

-       Real-world ROI assessments for informed decision-making, offering tangible insights for strategic planning.

-       Analyzing successful business cases to refine and optimize Generative AI applications for content marketing.

-       Crafting a data-driven narrative, showcasing measurable outcomes to elevate business strategies in content marketing.

Francesco Federico

Global Head of Marketing
S&P Global Ratings

See Bio

Delve into the crucial realm of consumer-facing marketing, exploring:

-       Augmenting marketing with new use cases, enhancing services while adhering to legal practices.

-       Elevating content utilizing generative AI for visual storytelling, & ideation.

-       Navigating the uncharted territories of consumer marketing, experimenting, and scaling innovations for impactful result

Jean-Paul Paoli

Generative AI Business Transformation Director
L'Oréal

See Bio

In the dynamic landscape of generative AI, understanding copyright, stakeholder rights, and plagiarism is imperative. This session explores the significance of safeguarding intellectual property and promoting ethical AI practices.

- Implementing Robust Copyright Policies: Develop and enforce policies to protect intellectual property in AI-generated content.

- Clarifying Stakeholder Rights: Clearly define and communicate rights of stakeholders in AI-generated creations.

- Preventing Plagiarism: Employ AI tools for plagiarism detection to maintain originality and compliance.

Alice Poorta

Former Strategy Manager - YouTube
Google

See Bio

Evie Kyriakides-Stenhouse

Group Head of Data Privacy and Chief Privacy Officer
Natura & Co.

See Bio

Matt Hervey

Head of Artificial Intelligence
Gowling WLG

See Bio

Reach plc is one of the UK's biggest newspaper groups with over 120 regional publications and brands like the Daily Mirror and OK! Magazine. 

Terry and his team have developed Mantis which leverage Generative AI across the publishing business. In his session he will cover:

• Creation and delivery of personalised content
• Brand safety and contextual advertising
• The importance of a human touch on every piece of content

In conclusion, Terry's insights into leveraging Generative AI across Reach plc's publishing business, including digital processes, shed light on how advancements in technology enhance efficiency, personalize content delivery, ensure brand safety, and emphasize the enduring value of human touch. Attend session to learn more.

Terry Hornsby

Group Digital and Innovation Director at Reach plc & Executive Vice President at Mantis
Mantis

See Bio

In an era where tailored experiences drive engagement, join us as we delve into the transformative power of generative AI in crafting individualised content and experiences.

Session highlights:

• Generative Content: Crafting individualized imagery and copy for enhanced personalisation strategies
• Generative Experiences: Redefining user engagement through dynamic, tailored digital interactions
• Human Touch: Balancing automation with human creativity and oversight in personalisation efforts

In conclusion, by exploring generative content, redefining user engagement with generative experiences, and emphasizing the importance of human touch, this session illuminates the transformative potential of generative AI in crafting individualized content and experiences that drive meaningful engagement in today's personalized era. Attend session to learn more.

Heather Thibodeau

Global Head of Core AI Personalization Science
eBay

See Bio

Explore the critical role of strategic use case selection in maximizing generative AI's organizational impact.

• Defining clear business objectives to guide use case selection, aligning AI applications with organizational goals.
• Leveraging data-driven insights to prioritize use cases with high impact potential for generative AI.
• Establishing cross-functional teams to evaluate and validate selected use cases, ensuring broad organizational alignment.

In conclusion, by defining clear business objectives, leveraging data-driven insights, and establishing cross-functional teams, organizations can strategically select and maximize the impact of generative AI use cases, aligning AI applications with their overarching goals and ensuring broad organizational alignment for transformative outcomes. Attend session to learn more.

Premal Desai

Head of Data & AI
The Gym Group

See Bio

Dimitri Metzger

Digital, Data & IT Business Partner for Development & Medical Units & AI
Merck

See Bio

Jonathan Artus

Client Director
Softwire

See Bio

Generative AI has been a galvanising force at 3M, where Paul and his team have increased engagement and delivered multiple, high-impact GenAI-powered process changes by focusing on bringing the rest of the business along for the journey.

-       From executives to everyone: ensuring that you have the necessary stakeholder engagement from the start for disruptive change

-       Leaving each domain to the experts e.g., legal to the lawyers and the systems to IT

-       Building small teams to work on each project, focused on self-selection, empowerment and wellbeing

-       Focusing on communication across the business to deliver high-impact Generative AI solutions that deliver value from day one

Paul Cardno

Global Digital Automation & Innovation Senior Manager
3M

See Bio

Luke will explore the critical role of fostering interconnected data cultures in businesses for successful generative AI transformation.

-       Nurturing & influencing AI culture in enterprise.

-       Enhancing data literacy: Investing in training programs to elevate the organization's understanding of generative AI concepts.

-       Facilitate knowledge sharing: Create platforms for sharing insights and best practices to promote collective learning.

Luke Vilain

AI Governance Lead
UBS

See Bio

As with all the technology - the key to unlocking it's value lies with people. Join this panel discussion to discuss:

-       Prioritizing comprehensive training programs to enhance AI literacy across all departments

-       Fostering stakeholder engagement through transparent communication and collaborative decision-making processes

-       Implementing proactive change management strategies to align AI integration with business goals

Robert Smith

Head of Emerging Technologies
Flutter

See Bio

Hitesh Patel

Global Digital Director
IHG

See Bio

Explore the significance of extracting valuable insights from large documents using generative AI, addressing:

-       Enhancing document analysis for various industries like finance and insurance with internal generative AI models.

-       Improving user experiences in processing large documents through innovative open-source models and high-performance research.

-       Leveraging generative AI's novel information extraction capabilities to transform traditional document analysis approaches.

Aymen Shabou

CTO of DataLab Group and AI Factory Group
Crédit Agricole

See Bio

Mohamed Dhouib

Researcher, École Polytechnique’s Informatics Lab, in close collaboration with the Crédit Agricole’s DataLab Group
Crédit Agricole’s DataLab Group

See Bio

Bupa operating in the highly regulated healthcare and finance sectors. In this session, Rachel will share lessons learned from their experimentation with synthetic data in the claims domain. Explore how they are navigating stringent regulations, preserving privacy, and maintaining data fidelity.

-       Regulatory Challenges: Discover how Bupa addresses complex compliance requirements while implementing synthetic data solutions

-       Privacy-Preserving Techniques: Learn about Bupa's strategies to safeguard sensitive information while reaping the benefits of synthetic data

-       Fidelity and Realism: Explore how Bupa ensures synthetic data accurately mirrors real-world claims scenarios

Rachel Harrison-Smith

Group Chief Enterprise Data Architect
Bupa

See Bio

Dive into the data-driven future as our expert panel unravels how optimising your datasets can transform your Generative AI efforts through:

-       Leveraging generative models to enhance data cleaning, ensuring high-quality datasets for robust AI applications.

-       Implementing AI-driven data integration for streamlined processes, breaking down silos and fostering a cohesive ecosystem.

-       Fostering a data-centric culture, encouraging collaboration between data scientists and business units for impactful insights.

Vasudevan Surendran

Chief Data Scientist
Innomotics GmbH, A Siemens Company

See Bio

Natalia Konstantinova

Architecture Lead in AI
bp

See Bio

Ankit Jain

Head of Solutions Adoption
International Swaps and Derivatives Association

See Bio

Mohamed Karous

Director of Product Marketing
Celonis

See Bio

Tobias has worked on games like Grand Theft Auto and Red Dead Redemption. He now heads up research into how AI and ML will transform in game experiences. In this session he will cover:

-       Elevating Fidelity: AI-driven graphics and environments for immersive gaming experiences

-       Streamlining Creativity: Automate routine tasks, liberate devs for creative innovation

-       Dynamic Narrative: AI-powered storytelling, adapt gameplay to player choices and actions

Tobias Kleanthous

Director of Production R&D
Tencent

See Bio

Architectural design is undergoing a revolution with the integration of Generative AI, enabling architects to explore novel possibilities and create sustainable, efficient, and aesthetically stunning structures.

-       Discovering how Generative AI streamlines the architectural design process, fostering creativity and efficiency.

-       Learning how to implement AI-driven algorithms to optimize building performance and sustainability metrics.

-       Exploring successful case studies of businesses integrating Generative AI for innovative architectural solutions and cost savings.

Tim Fu

Designer and Founder
Studio Tim Fu Ltd

See Bio

Explore how design intersects with Generative AI, shaping the future of creativity, engineering & beyond.

-       Exploring new frontiers of design.

-       Prioritizing exploration in design processes, with case studies to share.

-       Promote ongoing education and skill-sharing across design disciplines, fostering a vibrant community advancing generative creativity.

Jordi's team at Sanofi's consumer business have identified Customer Insights and Analytics as an area where they can extract the most value from Generative AI. 

In this session he will share their lessons learned in regards to:

• Unlocking Content Generation: Harness AI to create personalized, engaging customer content
• Bridging Language Barriers: Translate and analyse data across languages for global insights
• Navigating Cultural Adoption: Learn strategies to ensure AI resonates with diverse audiences

In conclusion, by sharing lessons learned in unlocking content generation, bridging language barriers, and navigating cultural adoption, Jordi offers valuable insights into how Sanofi's consumer business leverages Generative AI to extract maximum value from customer insights and analytics, paving the way for personalized, global, and culturally resonant experiences. Attend session to learn more.

Jordi Escayola

Head of Advanced Analytics, Artificial Intelligence and Data Science (Director)
Sanofi CHC

See Bio

Wojtek is leading the efforts to leverage Generative AI to enhance the effectiveness and efficiency of employee support. 

In this session he will outline the initial results of the roll as well as vision for the GPT agent to assist with:

• Answer – provide information to employees to assist them with queries
• Act – interfacing with software to perform the actions from those queries
• Advise – providing guidance on actions to ensure optimal outcomes for the employee and the business

In conclusion, Wojtek's presentation offers a glimpse into the transformative potential of Generative AI in enhancing employee support, outlining initial results and envisioning a future where GPT agents provide answers, act on queries, and advise employees for optimal outcomes, thus driving efficiency and effectiveness across the organization. Attend session to learn more.

Wojciech Iwanczak

Digital HR Director
Schneider Electric

See Bio

The speed at which the industry is moving, and the demand for Generative AI capabilities from the business mean that keeping pace with the change is increasingly difficult. In less than a year, Jhung-Ha and his team have created their own instance of ChatGPT, rolled our Microsoft Copilot, and delivered custom AI chatbots, while refining a Gen AI adoption strategy. In this session, Jhung-Ha will share how to embrace Gen AI and accelerate adoption by:

-       Delivering MVPs to the business while working on a longer-term approach.

-       Developing use guidelines and governance.

-       Defining an adoption strategy and solutions options for different use cases.

-       Promoting self-service AI chatbot creation through no code and low code solutions.

-       Driving adoption of Gen AI across business.

Jhung-Ha Kwon

Director, AI COE (Centre of Excellence), Mölnlycke Digital Enablement
Mölnlycke

See Bio

Jonathan will dive into the pivotal role of generative AI for the future of R&D and clinical operations, focusing on:

-       Building safe spaces for regulated clinical environments to enable innovation and experimentation.

-       Implementing a rollout strategy integrated with backend tools to support solutions without compromising security.

-       Leveraging GenAI for edge AI applications, data access optimization, and time/cost-saving measures in clinical operations.

Jonathan Crowther

Head, Predictive Analysis
Pfizer

See Bio

The integration of AI in healthcare systems is pivotal for improving patient care, diagnosis, treatment, and operational efficiency.

-       Leveraging AI for medical image analysis, predictive analytics, and drug discovery to enhance patient outcomes.

-       Implementing robust data security and compliance measures to protect patient privacy in AI-driven healthcare systems.

-       Foster collaboration between healthcare professionals, AI researchers, and data scientists to advance AI healthcare solutions.

Nikolay Burlutskiy

Director of Artificial Intelligence
AstraZeneca

See Bio

AI is reshaping the landscape of research and development (R&D), accelerating discovery, and driving innovation.

-       Implementing AI-driven research tools and platforms to enhance experimentation, data analysis, and hypothesis testing.

-       Fostering interdisciplinary collaboration between scientists, engineers, and AI specialists to maximize R&D potential.

-       Embracing AI-powered automation to streamline experimentation processes, reduce costs, and expedite product development cycles.

Matt Lewis

Chief AI Officer
Inizio Medical

See Bio

Igor Menghini

Senior Director of Product
Roche

See Bio

Delve into the critical aspects of supporting AI infrastructure for tangible business impact, covering:

-       Implementing bias evaluation and adhering to popular standards for ethical and unbiased generative AI applications.

-       Tracking and managing experimentation to drive informed decision-making in the dynamic landscape of generative AI.

-       Evolving ML platforms, incorporating best practices and lessons to create a centrally managed, scalable infrastructure.

Divita Vohra

Senior Product Manager
Spotify

See Bio

Delve into the critical aspects of managing compute costs in Generative AI for improved efficiency.

-       Implementing smart resource allocation, optimizing compute power to match the specific needs of generative tasks.

-       Leveraging model distillation techniques to streamline and reduce computational demands without compromising generative AI quality.

-       Exploring novel hardware solutions and cloud offerings to strike a balance between performance and cost-effectiveness.

Explore the pivotal role of data access in generative AI, addressing:

-       Enhancing accessibility to diverse datasets, a critical foundation for robust generative AI models.

-       Simplifying data access and democratizing insights for business users through innovative generative AI applications.

-       Establishing secure partnerships and leveraging cloud solutions for seamless and efficient data accessibility.

-       Developing internal capabilities and protocols to streamline data access, ensuring sustained generative AI success.

-       Simplifying data access and democratizing insights for business users through innovative generative AI applications.

Kazik Surala

Head of Data Governance & Analytics- Poland
Phillip Morris International

See Bio

Jonathan Crowther

Head, Predictive Analysis
Pfizer

See Bio

Rizwan Tufail

Chief Data Officer
PureHealth

See Bio