BE AT THE FOREFRONT OF THE AI REVOLUTION.
JOIN LEADING AI EXPERTS & DECISION MAKERS.
June 03 - 05, 2024
| Frankfurt, Germany
FOCUS DAY - June 3rd
Morning Session
10:00 am - 10:10 am
Chair's opening remarks
Cristina Duta -
Director of Intelligent Automation, Global Business Services,
AECOM
10:10 am - 10:40 am
DYNAMIC DECISION ENGINES: GENAI’S ADAPTIVE ROLE IN INTELLIGENT AUTOMATION
Cristina Duta -
Director of Intelligent Automation, Global Business Services,
AECOM
In today’s rapidly evolving digital landscape, understanding how Gen AI empowers adaptive decision engines within intelligent automation is pivotal. Attendees will discover
how GenAI’s adaptive algorithms, continuous learning loops, predictive precision, and contextual understanding revolutionize automation’s responsiveness and decision-making
capabilities.
It is about adaptability, on how GenAI enables algorithms to evolve, learn from data, and make real-time decisions, enhancing automation’s responsiveness.
It is about continuous learning, by integrating GenAI to foster self-learning loops within automation systems, improving adaptability to dynamic environments.
It is about predictive precision by utilizing GenAI in predictive modelling for automation to streamline decision-making, offering more accurate forecasts and strategies.
It is about contextual understanding, where GenAI can comprehend context nuances, refining automation’s decision-making based on nuanced data interpretation.
10:40 am - 11:10 am
MASTERING COMPLEXITY FOR PROFIT - USING KNOWLEDGE GRAPHS AND GEN AI USING NETWORK SCIENCE AND GRAPH THEORY TO MODEL COMPLEXITY
Dr. Jürgen Müller -
Head of Generative AI - Global Digital Services,
BASF
- The utilization of LLM for simplified interaction with the complex systems
- First use cases at BASF in production cost reduction and sales optimization
11:10 am - 11:40 am
Panel Discussion: ADVANCES IN GEN AI AND ITS APPLICATIONS IN AUTOMATION
Dr. Bogdan Pirvu -
Head of Data & Analytics,
Novomatic AG
Cristina Duta - Director of Intelligent Automation, Global Business Services, AECOM
Dr. Jürgen Müller - Head of Generative AI - Global Digital Services, BASF
Hugo Hamad - Leader AI Factory, Decathlon
Generative AI offers great opportunities for increasing efficiency and enhancing automation. However what is the full potential of this disruptive technology for automating
processes? It is not always an easy task to integrate gen AI into existing processes. In this panel we discuss this topic and focus on:
Examples of Gen AI implementation such as chat bots for internal support, document summary, customer facing solutions such as call centers and other
Will Gen AI be augmenting existing processes or disrupting them completely?
Risks of fully relying of Gen AI for automation
Is your data ready for the use of Gen AI? Ensuring the right data architecture and governance
Implemented use cases and lessons learned
11:40 am - 12:10 pm
Coffee Break and Networking
12:10 pm - 12:40 pm
USING GEN AI AGENTS TO AUTOMATE WORK IN HEALTHCARE R&D PROCESSES
Dimitri Metzger -
Digital, Data & IT Business Partner for Development & Medical Units & AI,
Merck
Challenges with exemplary processes in R&D
How does a Gen AI Agent work in our setup
Exemplary Use Case and Roadmap
Dimitri Metzger
Digital, Data & IT Business Partner for Development & Medical Units & AIMerck
12:40 pm - 1:40 pm
Lunch Break with Networking Opportunities
1:40 pm - 2:10 pm
CATALYZING CREATIVITY: EMPOWERING COLLABORATIVE BRAINSTORMING WITH MULTIFACETED VIRTUAL AGENTS
Antonello Ceravola -
Principal Scientist,
Honda Research Institute Europe GmbH
Human-Machine Interface: An architecture designed for multiparty open dialogs.
Recursive AI: A cutting-edge meta-modeling AI framework.
Agency: A comprehensive definition for general-purpose agents.
Domains: testing artificial systems, creating dialog benchmarks, and fostering brainstorming sessions
2:10 pm - 2:40 pm
THE POWER OF LARGE LANGUAGE MODELS IN SUPPLY CHAIN MANAGEMENT
Frank Giroux -
Mgr digital transformation,
Bayer
Use cases for LLMs in supply chain management
Hurdles and lessons learned of building a use case road map for LLMs
Change management activities to encourage and enable your organization.
2:40 pm - 3:10 pm
Presentation reserved for AI Telekom
Round Tables
Table 1
3:10 pm - 3:40 pm GENERATIVE AI-ASSISTED RPA DEVELOPMENT Analyzing and understanding
unstructured data, such as emails,
documents, or chat logs to recognize
and categorize tasks
Assisting in creating automation rules
for RPA bots
Data extraction, task automation
scripting, error handline and
workflow optimization
Table 2
3:10 pm - 3:40 pm AUTOMATING WORKFLOWS WITH AI-POWERED TOOLS Arsalan Baig - Global Data Science & AI Manager, Barilla Identifying areas of workflow that
can benefit from AI automation
Implementing AI-powered tools to
automate tasks and reduce human
error
Continually optimizing AI-powered
workflows to increase efficiency over
time
Table 3
3:10 pm - 3:40 pm GEN AI APPLICATIONS IN GBS Malgorzata Figaszewska - Board Member, Acca Poland Process Optimization: Use GenAI
in GBS for streamlined processes
and improved efficiency through
intelligent automation.
Data-Driven Insights: Leverage
GenAI for actionable insights from
GBS datasets, enhancing datadriven
decision-making.
Enhanced Customer Experience:
Implement GenAI in GBS for
personalized and improved customer
interactions, ensuring a tailored
service experience.
Table 4
3:10 pm - 3:40 pm LEVERAGING GENERATIVE AI WITH YOUR DATA SET AND KNOWLEDGE DATABASES FOR LARGE ENTERPRISES TO MAXIMIZE COMPETITIVE ADVANTAGE Hans Nikol - Head of Open Innovation, Signify Harnessing Generative AI: Maximize
your data’s potential
Real-World Impact: Applications in
investment across industries
Protecting data and ensuring
transparency
Training LLMs on your own data
Skills and Expertise to unlock the
power of Generative AI
Collaborative Approaches to drive
innovation through cross-functional
teams
Afternoon Session
3:40 pm - 4:10 pm
Coffee Break and Networking
4:10 pm - 4:40 pm
GEN AI UNLEASHED: ACCELERATING FROM PROTOTYPE TO PRODUCTION AT HOLIDAY EXTRAS
David Lee -
Director of Innovation & Growth,
HolidayExtras
Not your average AI talk! Dive into the heart of innovation with us to discover how Holiday Extras is crafting generative AI into the very fabric of the organisation. This talk isn’t just a
peek behind the curtain—it’s a full-on backstage tour of the AI revolution taking place within our team.
Highlights include
AI is everyone’s sidekick: See how team members, from techy to non-techy, are wielding AI to innovate.
No human left behind! We’re on a mission to put generative AI in the hands of our entire team, whatever their role. Find out how we’re levelling the playing field.
No fun, no point! See how infusing playfulness into our AI initiatives is supercharging adoption.
Prototypes to powerhouse tools: Learn how we are making the courageous leap from fun POC’s to powerful production tools that are revolutionising the way we work.
Be pioneering: Watch how the AI revolution is turbocharging our culture, driving us to collaborate and innovate like never before.
4:40 pm - 5:10 pm
LLM APPLICATION DEVELOPMENT: HOW TO USE CHATGPT AND OTHER LARGE LANGUAGE MODELS TO BUILD RELIABLE SYSTEMS
Dr. Bogdan Pirvu -
Head of Data & Analytics,
Novomatic AG
The benefits of using LLMs for decision-making and user assistance
The challenges of integrating LLMs into larger applications: predictability & maintainability
A framework to deal with these challenges
5:10 pm - 5:20 pm
Closing Remarks
Cristina Duta -
Director of Intelligent Automation, Global Business Services,
AECOM
Workshop
8:00 am - 9:30 am
PROMPT ENGINEERING FOR INTELLIGENT AUTOMATION APPLICATIONS
Dr. Bogdan Pirvu -
Head of Data & Analytics,
Novomatic AG
In this workshop, participants will delve into the art and science of prompt engineering, a critical skill in developing AI models for intelligent automation. Learn how to craft prompts
that optimize AI performance, increase productivity, and create AI-driven solutions that excel in various real-world scenarios.
Mastering the Art of Prompt Design: Gain hands-on experience in crafting effective prompts that drive desired outcomes in automation applications, from data extraction to
content generation.
Improving Task Efficiency: Discover techniques to fine-tune your prompts for intelligent automation, reducing the need for extensive model training and achieving faster results.
Real-world Applications: Explore practical examples and case studies, demonstrating how prompt engineering can be used to create applications in various industries, including
customer support, content generation, and data analysis
