Business Cases & Tech: Transition from POCs
to robust, enterprise-wide applications that deliver real value and ROI
03 - 05 December, 2024
| Sheraton Amsterdam Airport Hotel and Conference Center; Amsterdam, The Netherlands
Main Conference Day 2, Wednesday, 5 December 2024
8:15 am - 8:45 am
Registration and Welcome Coffee
8:45 am - 9:00 am
Chairperson’s introduction
Armand Angeli -
Vice-President, Digital Transformation and International Groups, DFCG and Expert,
DFCG
Armand Angeli
Vice-President, Digital Transformation and International Groups, DFCG and ExpertDFCG
9:00 am - 9:30 am
Rethinking AI and its impact on Business and Humanity
Daniel Hulme -
Chief AI Officer,
WPP
• In a world where many believe access to more and more data will lead to ever better decision-making, we’ll look at what AI really is - Identifying the current and future challenges and opportunities for emerging technologies
• New framework for thinking about AI, and discussion on how organisations can practically adopt these technologies and avoid being seduced by the hype
• Whilst these technologies are incredible at creating growth and streamlining operations, for companies to stay innovative they need to also use AI to unlock the creative capacity of their workforce.
• Macro impact these technologies may have on business and humanity over the coming decades
9:30 am - 10:00 am
Keynote Technology Panel: Generative AI Industry and Technology Trends: Exploring the Future Outlook
Sonika Kapil -
AI & App Chief Architect,
Microsoft
This panel discussion dives into the latest industry and technology trends in Generative AI and provides insights into the outlook of this rapidly evolving field. Experts will discuss advancements, challenges, and potential applications of Generative AI, offering valuable perspectives on its impact across various sectors and the exciting possibilities that lie ahead.
• Examining the current state of the Generative AI industry, including recent technological advancements, breakthroughs, and emerging trends
• How to navigate all tools and offerings? How to categorize different tools?
• How can we keep pace with new platforms and technologies?
• Conscious AI depends on computing capacity – What is next needed from technology view - Quantum Computing
10:00 am - 10:30 am
Democratizing AI: Can Gen AI Break Barriers?
Cristina Duta -
Director of Intelligent Automation,
AECOM
• Understand the role of low-code/no-code tools in lowering barriers to AI adoption
• Analyze the implications for industries traditionally slow to adopt AI
• Review case studies showcasing innovative applications of these tools
• Explore the challenges and opportunities in the democratization of AI
10:30 am - 11:00 am
Coffee Break & Networking
11:00 am - 11:30 am
From Data to Innovation: Unlocking the Power of AI in the Modern Workplace
Virginie Lange -
Chief Datascience Officer,
Floa
Didier Lacrampe - Data Engineer, Floa
• Key steps and best practices for integrating all AI int organizational workflows.
• But also discuss the potential pitfalls and strategies to mitigate risks associated with AI deployment.
• Discover GenAI with human potential enhancement : the positive impact of GenAI on teams and professionals.
• Case Studies: GenAI in HR Onboarding for better access to information; and GenAI to enrich Customer Service data for transferring loan claims
11:30 am - 12:00 pm
Gen AI in healthcare: hallucinations or reality?
Milan Petkovic -
Head of AI & Data Science, Connected Care,
Philips
• Developments in GenAI
• Trends in healthcare and potential of GenAI-powered innovation
• Example GenAI applications
• Challenges and way forward
Round table discussions: Choose one of the following round tables an discuss in smaller groups with your peers
Round table discussions
12:00 pm - 1:30 pm
Roundtable A: RAG extensions – How to connect RAG with live / dynamic data?
12:00 pm - 1:00 pm
Roundtable B: LLM vs. SLM – when to choose what?
Donatien Chedom Fotso -
AI & ML Team Lead,
Deutsche Bank
12:00 pm - 1:00 pm
Roundtable C: Unlocking generative AI’s Potential for European SMEs: Practical steps and strategic collaboration
Ashley van Heteren -
Partner,
McKinsey QuantumBlack
This exclusive roundtable invites a select group of leaders to discuss actionable strategies for accelerating gen AI adoption among Europe’s SMEs, using the Netherlands as a key example. Building on the keynote insights, this session will dive into the practical challenges and opportunities for smaller businesses, including addressing labor shortages, driving productivity, and the essential role of cross-border collaboration. Participants will explore ways to create a supportive environment through policy, investment, and training, setting the foundation for gen AI-driven growth and resilience across Europe.
1:00 pm - 2:15 pm
Lunch Break & Networking
Stream A - Conversational AI
2:15 pm - 2:45 pm Next Level Customer Interaction: Exploiting the Poerw of Gen AI for Telefónica’s Customer Service Bot Aura Tina Rahman - Chief Product Owner Conversational AI (Voice and Chatbots), Telefonica• General:
• Conversational AI evolution at Telefonica and its vision
• Performance KPIs of the actual solution
• Organisational Set Up and its challenges.
• POC LLM:
• Tech Set-Up: Retrieval Augmented Generation (RAG); Orchestration: Interplay NLU feat. LLM
• Learnings and way forward
Stream A - Conversational AI
2:45 pm - 3:15 pm Revolutionizing Customer Engagement: The Power of Generative AI in Conversational Banking Eleni Verteouri - GenAI Tech Lead and Director, UBS• Exploring the transformative potential of Generative AI in the banking sector, specifically
in customer-facing conversational interfaces
• Evolution from rule-based chatbots to GenAI-powered assistants
• Key applications: personalized financial advice, complex query handling, multilingual
support
• Successful implementations and case studies
• Challenges: data privacy, brand consistency, balancing automation with human touch
• Best practices for implementation: AI governance frameworks, continuous monitoring,
staff upskilling
Stream A - Conversational AI
3:15 pm - 3:45 pm presentation slot reserved for partnerStream B - Use Cases and the narrative for AI
2:15 pm - 2:45 pm Unlocking the Future: Harnessing Generative AI to Transform Pharmaceutical Innovation Jonathan Crowther - Head, Predictive Analysis, Pfizer• Potential for efficiency and cost reduction
• Dealing with data silos, regulatory compliance, and workforce readiness
• Transformative capabilities of Generative AI and realities of its adoption
• Best practices for effective integration to harness its full potential for healthcare
innovation
Stream B - Use Cases and the narrative for AI
2:45 pm - 3:15 pm Living tissue over metal endoskeleton – how to turn AI from Terminator to WALL-E Transforming company culture and reskill data and analytics staff Gabor Harsanyi - Head of Connected Data and Analytics, Ericsson• ‘Ooh, ah’ – that’s how it always starts. But then later there’s running and screaming. – how to cope with the transition of company culture from the overwhelming enthusiasm and beat the fear
• 10 years ago, data scientist was the sexiest job of the century. Then Gen AI arrived – the changing demand for specific skillsets
• The AI foundation team: workstream, taskforce, agency, and community – which works well in the AI change management
• Everyone is in the ‘FoMo’ but who should really be there? – establishing and building teams to kick-off AI strategy
Stream B - Use Cases and the narrative for AI
3:15 pm - 3:45 pm AntiHUMAN - Is AI really antihuman, or are we using the wrong narrative?1. INTRO
• Is AI really antihuman, or are we using the wrong narrative?
• Exercise intro & scenario imagination: part human - part robot, the next evolution of humanity
is integration with AI
• Video (personal reasearch)
2. Reality check in the B2B world
• My personal journey as a B2B Product Owner working with AI: In our B2B world, we’re seeing
two extremes: 1. Teams rushing to implement AI everywhere, creating anxiety and resistance &
2. Others avoiding AI entirely, fearing it will dehumanize their work
• Snapshot of AI in B2B today
• Practical examples from my daily work
• Pain points and challenges teams face
3. Framework for Healthy AI Integration
• Three key principles for human-centered AI integration:
• Start with human value, not AI capability
• Design for augmentation, not replacement
• Measure impact on team wellbeing alongside efficiency
4. The experiment era (we’re learning on the go)
• Even tech giants are pivoting their AI strategies weekly
• Best practices today are already obsolete tomorrow
• We’re all students in this AI revolution
5. Future vision
• New perspectives on the evolution of human-AI collaboration
• Closing ideas - 2030 future projection
3:45 pm - 4:15 pm
Coffee Break & Networking
4:15 pm - 4:45 pm
Reinventing your company with Generative AI
Felipe Augusto Chies -
Head of Generative AI & ML GTM - Europe North,
Amazon Web Services
From startups to enterprises, organizations of all sizes are getting started with generative
AI. They want to capitalize on this new technology and translate the momentum from betas, prototypes, and demos to real-world innovations and productivity gains. With enterprise-grade security and privacy, leading foundation models, a data-first approach,
and the most performant, low-cost infrastructure, AWS is trusted to deliver generative AI-fueled innovation. In this session, learn how new generative AI services and capabilities can help deliver business value across key use cases to enhance employee productivity,
improve customer engagement, and build new, differentiated experiences.
4:45 pm - 5:15 pm
Panel Discussion: Limitations of Generative AI – Dos and Don’ts
Kazik Surala -
Head of Data Governance & Analytics- Poland,
Phillip Morris International
Pooja Bhatia - Data & AI Cloud Solution Architect, Microsoft
This panel discussion aims to provide a comprehensive exploration of the limitations of generative AI (Gen AI) technology, focusing on the ethical, technical, and practical aspects. Industry experts will share insights, best practices, and cautionary tales to help attendees navigate the complex landscape of generative AI.
• Technical limitations of generative AI: Computational power and resource limitations,
challenges in model accuracy and reliability
• Best practices for responsible development and deployment
• Common pitfalls and mistakes to avoid
