Aleksander Djurka, Head of Data Engineering and Infrastructure, Stellantis, Room Neptune

In the era of Generative AI, the success of AI initiatives hinges on more than just algorithms—it depends on robust, scalable data platforms. This talk explores the pivotal role of data platforms in accelerating AI use case development. Drawing from experiences across multiple industries, we’ll delve into strategies to enable rapid deployment, ensure compliance, and optimize the ingestion of data into AI systems like Retrieval-Augmented Generation (RAG). The presentation will highlight the importance of leveraging unique data versus investing in state-of-the-art algorithms, and how data mesh principles combined with the separation of storage and compute can streamline AI integration. The goal is to leave you all with actionable insights into designing data platforms tailored for GenAI success.

Aleksander Djurka

Head of Data Engineering and Infrastructure
Stellantis

See Bio

Eric Joachim Liese, Strategic Advisor and Lead Architect for AI & Data, BSH Home Appliances Group and Saif Addin Ellafi, Product Lead, MLOpsData Engineer, Solutions Architect, BSH Home Appliances Group, Room Neptune

• What is and why do RAG

• Building and Deploying RAG IaaS

• Reusable and customizable components

• Getting and maintaining data for the LLM

• Quick start use case onboarding formula

• Common boilerplate frontend (Streamlit)

• Reusable observability and monitoring

Eric Joachim Liese

Strategic Advisor and Lead Architect for AI & Data
BSH Home Appliances Group

See Bio

Saif Addin Ellafi

Product Lead, MLOps, Data Engineer, Solutions Architect
BSH Home Appliances Group

See Bio

Iliana Portugues, VP Innovation Centre Berlin, Siemens Energy, Room Neptune

• Exploring LLMs for product portfolio management

• Leveraging LLMs in operational situations to drive

 product and service improvements

• Improving manufacturing through the use of AI

 tools

Iliana Portugues

VP Innovation Centre Berlin
Siemens Energy

See Bio

Elie Bakouch, AI Research Engineer, Hugging Face, Room Neptune

• Smol LMs are ideal for today’s applications, delivering efficiency without the complexity of massive models; for example, handling routine tasks like summarizing emails or generating quick responses doesn’t require the power of GPT-4.

• Smaller models offer faster processing times and lower costs, making them ideal for edge devices and real-time applications. They also reduce energy consumption and enable on-device operation, enhancing privacy.

• There are ways to enhance these models for better performance, and they’re far more accessible for individual developers and small businesses compared to larger models.

Elie Bakouch

AI Research Engineer
Hugging Face

See Bio

Dinos Metaxas, Chief Digital & Marketing Officer, L’Oréal and Tomasz Chyrchel, Senior Innovation Manager - AI Lead, L’Oréal, Room Jupiter

• From idea to action - how to develop an AI-related idea into a workable business solution? Here we want to show how different stakeholders were engaged from the scratch, to ensure smooth business implementation
• From action to proof of concept - how to spend as little as possible on testing what the technology can deliver - building simple POC with AI Agents
• From mid to big - how to scale AI solutions to ensure best ROI and effective impact across all stakeholders included
• AI Act and GDPR - how to manage regulatory challenges in projects utilizing AI technology
• Small models as foundation for sustainable AI development

Dino Metaxas

Chief Digital & Marketing Officer
L’Oréal

See Bio

Tomasz Chyrchel

AI & Innovation Expert
L’Oréal

See Bio

Dimitri Metzger, IT Business Partner for Healthcare R&D, Merck, Room Jupiter

• Data analysis of patient needs and real language used in specific disease areas
• Develop a Gen AI based solution that leverages insights and can cross check patient education drafts and advise on better language
• Next step: let solution create customized material from scratch

Dimitri Metzger

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

See Bio

Dieter Konrad, Expert Capital Market Data Science, Union Investment, Room Jupiter

• GenAI for Capital Markets: Are Chat Bots and Smart Summaries the only solutions?
• The future of Chat Bots for supporting capital market research and portfolio construction
• Do Smart Summaries really help the professional analyst?
• Is there any potential for more use cases with GenAI?

Dieter Konrad

Expert Capital Market Data Science
Union Investment

See Bio

Room Jupiter

• What is the current art-of-the-possible with regards to Gen AI BI (what it can do and what it’s still missing)

• What are the most often encountered problems when Gen AI BI is introduced in the organization

• How to mitigate possible risks, biases and other challanges that you will encounte

Kazik Surala

Head of Data Governance & Analytics- Poland
Phillip Morris International

See Bio

Sergei Bobrovskyi, Expert AI, Airbus, Room Universe

• Ethics and AI in aviation
• Harnessing the potential of AI while prioritizing responsibility
• Ethics by design approaches

Sergei Bobrovskyi

AI Expert
Airbus

See Bio

David Malkinson, Senior Managing Director, Digital Transformation, Morae and Rico Burnett, Managing Director & Head of Innovation, Morae, Room Universe

• Why GenAI is a Big Deal in Legal: How AI is transforming legal work and where it’s making the biggest impact.
• The Legal-Specific Challenges: Why legal processes pose unique hurdles for GenAI.
• What’s Working (and What’s Not): Real examples of GenAI success in legal, and where it’s falling short

David Malkinson

Senior Managing Director Digital Transformation
Morae Global

See Bio

Rico Burnett

Managing Director & Head of Innovation
Morae Global

See Bio

Anna Hovsepyan, Visiting Lecturer, King’s College London, Room Universe

• Understanding Deepfakes: Overview of the technology behind deepfakes, including how they are created and the role of Generative AI in their development.
• The Dual Impact on Society: Examination of how deepfakes are reshaping societal perceptions, from influencing public opinion to the risks of misinformation and identity theft.
• Business Implications: Analysis of both the risks and opportunities for businesses, including the threat and the potential for innovative marketing strategies.
• Ethical and Legal Considerations: Exploration of the ethical dilemmas posed by deepfakes, alongside current and emerging legal frameworks designed to combat malicious uses of deepfakes.
• The Future of Trust: Discussion on the long-term implications of deepfakes for the future of trust in digital content, and how society can navigate the balance between innovation and security

Anna Hovsepyan

Visiting Lecturer
King’s College London

See Bio

Robert Chilvers, Chief Data & AI Officer, Newcross Healthcare Solutions, Room Universe

The Importance of Knowledge

With a multitude of AI powered tools being used across the business to improve efficiency, how do you ensure the knowledge base in one is available to the others? Learn from Newcross Healthcare’s journey and the problems & solutions we’ve encountered.

Robert Chilvers

Chief Data & AI Officer
Newcross Healthcare

See Bio

Ömer Adigüzel, Technical Lead Generative AI / Senior Data Scientist AI Consultant, Lufthansa Group, Room Jupiter

• Explore the complete journey of Generative AI development, from ideation to production.
• Discover impactful use cases and learn best practices for implementing Generative AI solutions.
• Understand strategies for leveraging shared services to enhance AI capabilities and efficiency
• Learn about Red Teaming methodologies to proactively identify and mitigate vulnerabilities in AI systems.
• Delve into the critical aspects of AI security to protect your AI systems from threats.

Ömer Adıgüzel

Technical Lead Generative AI
Lufthansa Group

See Bio

Joachim Stegmann, Chapter Team Lead Artificial Intelligence & Data Science Deutsche Telekom AG, Innovation Hub, Room Neptune

• State of the Art of chat bots
• Frag Magenta at Deutsche Telekom
• Evolution of chat bots
• Short-tail Use Cases With GenAI
• Internationalization
• Beyond chat bots – what comes next?
• New Enablers
• Autonomous Networks
• Immersive communication
• Governance as a service

Joachim Stegmann

Chapter Team Lead Artificial Intelligence & Data Science
Deutsche Telekom AG, Innovation Hub

See Bio

Stiv Sterjo, Smart Analytics & AI Cluster Lead, Google, Room Universe

This thought-provoking talk explores the unexpected ways AI is transforming our world, challenging our preconceptions about the future of work, personal relationships, and human capabilities. Through interactive discussions and real-world examples, we’ll delve into the paradoxical nature of AI’s impact on society and business.

Stiv Sterjo is neither representing nor speaking in an official capacity on behalf of the company. The views and opinions expressed by him are solely his own.

Stiv Sterjo

Smart Analytics & AI Cluster Lead
Google

See Bio

Guille Lorbada, Head of New Ways of Working, Repsol, Room Universe

• Evaluating Copilot M365: Investigating how Microsoft’s generative AI tool, Copilot M365, influences efficiency, quality, and employee experience within Repsol.
• Experimental Study: A four-month research with 550 participants, using pre and post-test design, practical experiments, surveys, focus groups, and interviews to measure the impact.
• Key Findings: Results show a weekly time saving of 121 minutes, a 16% increase in quality of deliverables, and a significant positive impact on employee satisfaction and productivity

Dr. Guille Lorbada

Head of New Ways of Working
Repsol

See Bio