Yannick Even - Data Strategy & Responsible AI @ Swiss Re making the world more resilient

Allegra Pescini - AI, Data & Analytics | Project Manager presso UniCredit

Data-driven and AI- driven Decision Making
• Leverage data and analytics to optimize every decision, process and action
• How Much Automation Does a Data Scientist Want?
• Emerging challanges for AI data strategy and implementation


SHANTANU DEO Vice President Data Science at Credit Suisse

ANGEL SERRANO Head of Data Science & Analytics at Santander UK

MOHAMED ABAZA Business Intelligence | Machine Learning Eng. & Data Scientist, M.Sc.

GERO GUNKEL Chief Operating Officer | Data Science Leader

LUKE VILAIN Data Ethics Senior Manager at Lloyds Banking Group

Day 1 Networking & Virtual Lunch Break

Sholthana Begum - Senior Advisor at Bank of England | Speaker | Data IQ 100 | Women in Fintech Powerlist

Klaus Haller - Senior Security Architect at AXA

Panel Debate: AI and Leadership
How artificial intelligence will redefine management
What Digital Transformation Leaders Can Teach You about Realistic Artificial Intelligence
Who benefits from AI, and could it result in a decrease in human-human interaction and employment issues?


SHNAY CHOHAN Senior Product Manager @ Monzo Bank

AMBROS SCOPE Head Leadership and Future of Work at Zurich Insurance

VAISHALI LAMBE Data Management, Governance, Analytics, AI at UBS

APURVA MADIRAJU Vice President- Data Science at Swiss Re

Sumitra Ganesh - Research Director, J.P. Morgan AI Research

Driving Digital Transformation in Financial Services: How AI has helped Big Banks truly “know” their Contracts
Genevieve Dong - Assistant Vice President | Content Discovery AI Digitization at Wells Fargo

Artificial Intelligence in Production – Benefits, Applications and Limitations

• Use Case: AI for In-Line Quality Prediction in Siemens
• a remotely managed extension of an automation system to locally run added-value applications
• Artificial Intelligence in the SIMATIC world - Common Use Cases and Applications
• Challenges in Moving from Proof of Concept to AI Operations


Dr. Matthias Loskyll - Director Autonomous Factory and Industrial AI at Siemens

Transforming Nestlé with AI - From Vision to Strategy to Execution

• make emerging technologies become second nature • Nestlé’s ambition is to become a cognitive company by 2025 • using machine intelligence that is unbiased and leverage data to operate in a sustainable way • bridging distances: using augmented and virtual reality for engineers to control robots in factories

Carolina Pinart - AI Program Lead at Nestlé

The best practices of implementing ethical AI
• How to drive social justice through AI
• Scaling data sharing for the public good
• What’s Next for Ethical AI?


TOJU DUKE Program Manager, Responsible AI at Google

CHANUKI ILLUSHKA Director of Data Science at Culture Trip

MARIA LUCIANA AXENTE Responsible AI & AI for Good Lead at PwC UK

Day 1 Networking & Virtual Lunch Break

AI Pitfalls and How to Avoid Them

Matt Armstrong Barnes - Chief Technologist at Hewlett Packard Enterprise

Why some Data Science projects succeed and some don’t

Walid Yassine Medjati - Data Science | AI/ML - Info. & Comm. Sys. Development at Airbus

Digitalization in Manufacturing
• How to consider the human factor in your digitalization Strategy?
• Transformation of transport and logistics
• How to identify opportunities to leverage AI/ML as an overall solution that delivers value to the custome


IGOR ROTIN, PH.D. Chief Data Scientist / Head of Digital Lab at Liebherr

FREDRIK HOFFLANDER Head of AI, AFRY

HEIKO WITTE Digital Development (R2DL) at Rolls- Royce

SUNIL MISTRY Director of Artificial Intelligence at Atos

Leveraging AI-based Technologies to optimise production, achieve Zero Downtime and Zero Defects
• How do manufactures leverage AI, cloud and IoT to optimize and monitor the health and performance of factory equipment and other critical assets, as well as predict the remaining useful life of machines in real time?
• What are the challenges and lessons learned?


Amy Challen - Global Head of Artificial Intelligence at Shell

Driving Digital Transformation in Financial Services: How AI has helped Big Banks truly “know” their Contracts

• Learn from the journey of MLOps platform and tooling that enables their Wayfair scientists to
• access reliable data (with SLOs),
• automate data processing, model, training, evaluation and validation
• productionize the model either for batch or online serving
• continuously monitor their data and model in production,
• use a trigger based mechanism to auto train, deliver and deploy in production

Vinay Narayana - Head of Machine Learning Engineering at Wayfair

Simon Philip Rost - Executive for GE Healthcare’s Digital Health and AI Portfolio

Leveraging Natural Language Processing to Improve Healthcare Value Chain

Healthcare organizations are confronted with massive volumes of unstructured text data which are generated across their end-to-end value chain. Thanks to recent advancements in Natural Language Processing (NLP) which can help generate valuable and actionable insights from these text data sources.This talk will provide a synopsis of various real- world and successful applications of NLP to healthcare business problems.

Harsha Gurulingappa - Head of Text Analytics Merck KGaA

Digital Healthcare
• How to make patient-centricity by leveraging AI in healthcare
• Medical data as a public good
• Making medicine personal
• Does AI in a crisis need ethics with urgency?


DR EDDIE GUZDAR Medical Head - Immunology at Sanofi UKIE | Digital Strategy & Innovation

RAYMOND HOUNON Director - Google Cloud Platform - Healthcare/Life Sciences

ANDI ORLOWSKI Senior Population Health Management Advisor at NHS England

Day 1 Networking & Virtual Lunch Break

AI as enabler for improved Service Innovation in Healthcare

Mike Schavemaker - Head of Innovation Transformation, Artificial Intelligence at Philips

AI in pharma from an investor’s point of view

• Pharma is heavily investing in AI for Drug Discovery and this trend will continue.
• How are expectations being formed throughout this investment process?
• Can these expectations be realized or are we looking at another incarnation of the Proof of Concept purgatory?

Christos Varsakelis - Team Lead AI/ML at Janssen

Robotics and AI in Healthcare

• Use of Robotics in Health Procedures - Are We Ready for It?
• The Developing Market for Medical Robotics
• Planning under Uncertainty for Reliable Health Care Robotics,
• Robots in Health: A Complementary Technology to Telehealthcare?


RAFAEL HOSTETTLER Solving for infinity - building robodies, medtech & stories

Preparing medical image data for AI model training and assessment
• Computer vision, image annotation, and the AI pipeline
• Use case examples in healthcare and medicine for AI vision
• Data cleanliness, representation, and ethics
• Results of efficient healthcare AI models


Patrick Bangert - VP of Artificial Intelligence at Samsung SDS

Ayori Selassie - Senior Product Marketing Artificial Intelligence at Salesforce

Mathapelo Mzizi - Artificial Intelligence Program Lead at Ericsson

Vaibhav Panchal - Senior Architect, CTO Office at Microsoft

AI in Telecom
• Uses and challenges
• Best practices with Strategic Planning
• Transformation with AI


JORGE RUANO PUENTE former Innovation Product Director at Nokia

RUBEN BELL Head of Digital Delivery at Vodafone

KADER ES-SLAMI Head of AI & Smart Data Practice at Etisalat

Day 1 Networking & Virtual Lunch Break

How to become data driven: practical lessons lessons for creating value from AI
• Why is becoming data driven so important?
• Concrete and practical examples of decisions that large organizations done for moving forward on their data journey
• machine learning or natural language processing tools can solve maybe 60% of the business problems only
• human resistance against change
• using AI and Big Data for social purposes

Richard Benjamins: Chief AI & Data Strategist at Telefonica

The AI Leadership Challenge: how to create the right strategy, culture and upskilling agenda to thrive

Katie King - CEO of AI in Business | Voted Top 30 Woman in AI

Opportunities of AI in Telecom

• What will it take to create an AI-driven telecoms industry?
• Customer service with AI
• Detecting and preventing fraud,
• Predictive analytics
• Driving new business with the help of AI and derived Innovative solutions>

ADITI SALUJA Lead Applied Scientist at T-Mobile

FRANK ROESSIG Successful launch & growth of Business Units at Proximus

Shankar Ratneshwaran - Head of Artificial Intelligence Center of Excellence at Intel