Pro sint falli definitiones no, vel ei verear intellegat. At pri civibus consequat efficiantur, sea altera alterum necessitatibus ea. Odio nostrud vel te, ex sit dicam persecuti. Ea adhuc zril cum, suas brute legimus mei at. At aliquam facilis minimum cum, eum noster dolores voluptatum ea, populo commodo est in. Nec id appareat facilisis. Per in habemus electram adolescens. Possit appellantur his ne, vel at albucius iracundia, quo at expetenda conceptam utamur conclusion.
Per in habemus electram adolescens. Possit appellantur his ne, vel at albucius iracundia, quo at expetenda conceptam. Utamur conclusionemque id mel, et eum etiam honestatis. Eum diam sale paulo ex. Veniam laudem vis ex, te phaedrum
Pro sint falli definitiones no, vel ei verear intellegat. At pri civibus consequat efficiantur, sea altera alterum necessitatibus ea. Odio nostrud vel te, ex sit dicam persecuti. Ea adhuc zril cum, suas brute legimus mei at. At aliquam facilis minimum cum, eum noster dolores voluptatum ea, populo commodo est in. Nec id appareat facilisis. Per in habemus electram adolescens. Possit appellantur his ne, vel at albucius iracundia, quo at expetenda conceptam utamur conclusion.
Pro sint falli definitiones no, vel ei verear intellegat. At pri civibus consequat efficiantur, sea altera alterum necessitatibus ea. Odio nostrud vel te, ex sit dicam persecuti. Ea adhuc zril cum, suas brute legimus mei at. At aliquam facilis minimum cum, eum noster dolores voluptatum ea, populo commodo est in. Nec id appareat facilisis. Per in habemus electram adolescens. Possit appellantur his ne, vel at albucius iracundia, quo at expetenda conceptam utamur conclusion.
Per in habemus electram adolescens. Possit appellantur his ne, vel at albucius iracundia, quo at expetenda conceptam. Utamur conclusionemque id mel, et eum etiam honestatis. Eum diam sale paulo ex. Veniam laudem vis ex, te phaedrum
Pro sint falli definitiones no, vel ei verear intellegat. At pri civibus consequat efficiantur, sea altera alterum necessitatibus ea. Odio nostrud vel te, ex sit dicam persecuti. Ea adhuc zril cum, suas brute legimus mei at. At aliquam facilis minimum cum, eum noster dolores voluptatum ea, populo commodo est in. Nec id appareat facilisis. Per in habemus electram adolescens. Possit appellantur his ne, vel at albucius iracundia, quo at expetenda conceptam utamur conclusion.
2022 AIQ Virtual Exhibition & Conference Agenda
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
-
The impact of AI across the insurance value chainYannick Even - Data Strategy & Responsible AI @ Swiss Re making the world more resilient10:00 - 10:30
-
Sponsored Speaking Slots10:30 - 10:50
-
TBAAllegra Pescini - AI, Data & Analytics | Project Manager presso UniCredit10:50 - 11:20
-
Panel DebateData-driven and AI- driven Decision Making11:20 - 12:00
-
Day 1 Networking & Virtual Lunch BreakDay 1 Networking & Virtual Lunch Break12:00 - 14:00
-
TBASholthana Begum - Senior Advisor at Bank of England | Speaker | Data IQ 100 | Women in Fintech Powerlist14:00 - 14:30
-
Sponsored Speaking Slots14:30 - 14:50
-
How to secure your AI environmentKlaus Haller - Senior Security Architect at AXA14:50 - 15:20
-
Panel DebateAI and Leadership15:20 - 16:00
-
TBASumitra Ganesh - Research Director, J.P. Morgan AI Research16:00 - 16:30
-
Driving Digital Transformation in Financial Services: How AI has helped Big Banks truly “know” their ContractsGenevieve Dong - Assistant Vice President | Content Discovery AI Digitization at Wells Fargo16:30 - 17:00
-
Artificial Intelligence in Production – Benefits, Applications and LimitationsDr. Matthias Loskyll - Director Autonomous Factory and Industrial AI at Siemens10:00 - 10:30
-
Sponsored Speaking Slots10:30 - 10:50
-
Transforming Nestlé with AI - From Vision to Strategy to ExecutionCarolina Pinart - AI Program Lead at Nestlé10:50 - 11:20
-
Panel DebateThe best practices of implementing ethical AI11:20 - 12:00
-
Day 1 Networking & Virtual Lunch BreakDay 1 Networking & Virtual Lunch Break12:00 - 14:00
-
AI Pitfalls and How to Avoid ThemMatt Armstrong Barnes - Chief Technologist at Hewlett Packard Enterprise14:00 - 14:30
-
Sponsored Speaking Slots14:30 - 14:50
-
Why some Data Science projects succeed and some don’tWalid Yassine Medjati - Data Science | AI/ML - Info. & Comm. Sys. Development at Airbus14:50 - 15:20
-
Panel DebateDigitalization in Manufacturing15:20 - 16:00
-
Leveraging AI-based Technologies to optimise production, achieve Zero Downtime and Zero DefectsAmy Challen - Global Head of Artificial Intelligence at Shell16:00 - 16:30
-
The MLOps Journey: Machine Learning As An Engineering DisciplineVinay Narayana - Head of Machine Learning Engineering at Wayfair16:30 - 17:00
-
TBASimon Philip Rost - Executive for GE Healthcare’s Digital Health and AI Portfolio10:00 - 10:30
-
Sponsored Speaking Slots10:30 - 10:50
-
Leveraging Natural Language Processing to Improve Healthcare Value ChainHarsha Gurulingappa - Head of Text Analytics @ Merck KGaA10:50 - 11:20
-
Panel DebateDigital Healthcare11:20 - 12:00
-
Day 1 Networking & Virtual Lunch BreakDay 1 Networking & Virtual Lunch Break12:00 - 14:00
-
AI as enabler for improved Service Innovation in HealthcareMike Schavemaker - Head of Innovation Transformation, Artificial Intelligence at Philips14:00 - 14:30
-
Sponsored Speaking Slots14:30 - 14:50
-
AI in pharma from an investor’s point of viewChristos Varsakelis - Team Lead AI/ML at Janssen14:50 - 15:20
-
Panel DebateRobotics and AI in Healthcare15:20 - 16:00
-
Preparing medical image data for AI model training and assessmentPatrick Bangert - VP of Artificial Intelligence at Samsung SDS16:00 - 16:30
-
TBAAyori Selassie - Senior Product Marketing Artificial Intelligence at Salesforce16:30 - 17:00
-
TBAMathapelo Mzizi - Artificial Intelligence Program Lead at Ericsson10:00 - 10:30
-
Sponsored Speaking Slots10:30 - 10:50
-
TBAVaibhav Panchal - Senior Architect, CTO Office at Microsoft10:50 - 11:20
-
Panel DebateAI in Telecom11:20 - 12:00
-
Day 1 Networking & Virtual Lunch BreakDay 1 Networking & Virtual Lunch Break12:00 - 14:00
-
How to become data driven: practical lessons lessons for creating value from AIRichard Benjamins: Chief AI & Data Strategist at Telefonica14:00 - 14:30
-
Sponsored Speaking Slots14:30 - 14:50
-
The AI Leadership Challenge: how to create the right strategy, culture and upskilling agenda to thriveKatie King - CEO of AI in Business | Voted Top 30 Woman in AI14:50 - 15:20
-
Panel DebateOpportunities of AI in Telecom15:20 - 16:00
-
TBA16:00 - 16:30
-
Intelligent telco: Over the horizonShankar Ratneshwaran - Head of Artificial Intelligence Center of Excellence at Intel16:30 - 17:00