Making the shift to Autonomous Enterprise
through processes, technology, GenAI, data and people.
June 03 - 05, 2024
| Frankfurt, Germany
1st CONFERENCE DAY – June 4th
Masterclass
8:30 am - 9:30 am
GENERATIVE AI BASICS AND POSSIBLE USE CASES
Dr. Egor Kraev -
Head of AI,
Wise
Generative AI is about to disrupt many parts of the business and companies are making sure that they don’t stay behind this important trend. This masterclass is for those who wants
to understand the essence of LLM and Gen AI and it’s possible use for their organization possible from a strategic point of view, yet knowing the basics of this technology. In this
masterclass we focus on:
What is generative AI and how is it different from machine learning or other types of AI
Prompt engineering: the most important skill to make Gen AI work effectively for your needs
Discussing (possible) use cases of Gen AI in various areas of your business, especially with an eye on automation capabilities
Beyond the hype: the current limitations of generative AI and its risks
8:45 am - 9:30 am
Registration and welcome tea or coffee
Who is who: Discover who else is participating in the conference. The matchmaking picture wall will help you identify who you want to meet at the conference.
9:30 am - 9:50 am
Welcome and opening remarks by the chairperman
Armand Angeli -
Vice-President, Digital Transformation,
DFCG (the French CFO network)
9:50 am - 10:10 am
HOW TO INTEGRATE GENAI INTO A HIGHLY SCALED AUTOMATION ARCHITECTURE
Marco Einacker -
VP Automation & DevOps Excellence,
Deutsche Telekom AG
A practical use case how we incorporated ChatGPT within 6 weeks to achieve significant additional savings.
A view on our Automation Approach with whom we scaled to more than 3.500 bots
Presentation of our GenAI Strategy & Use Cases
How we approached the GenAI topics to implement the first use case within 6 weeks
10:10 am - 10:30 am
HOW TO ENABLE GEN AI AT A MULTINATIONAL COMPANY
Sarah Lewandowski -
Global Technology & Innovatoin Lead,
Bayer
Jan Tönnißen - Head of Digital Technologies, Bayer
Data Diversity: Multinational companies handle diverse data from various markets, addressing language,localization cultural sensitivity.
Scaling AI solutions across regions while maintaining consistency and quality is a significant challenge for expanding multinational companies.
Human-AI Collaboration: Fostering collaboration between AI systems and human teams is vital to enhance human creativity and decision-making rather than replacing them.
10:30 am - 11:00 am
CIO Talk: CHOOSING THE RIGHT AI-STRATEGY FOR YOUR ENTERPRISE
Dr. Andreas Hamprecht -
CIO/CDO DB Regio,
Deutsche Bahn
Armand Angeli - Vice-President, Digital Transformation, DFCG (the French CFO network)
Establishing a bold, enterprise-wide strategy for AI transformation, championed by top leadership
Aligning AI strategies with the overarching business strategy, ensuring tight collaboration across business divisions and a focus on KPIs that incentivize and enhance competitive
advantage
Balancing Efficiency and Value Creation - prioritizing growth-oriented objectives, such as improving customer satisfaction and entering new markets
Implementing responsible AI with a focus on leadership commitment, inclusive governance models, and investing in responsible AI practices
Addressing possible risks such as cybersecurity, hallucinations of gen AI and compliance
11:00 am - 11:30 am
Coffee Break and Networking
11:30 am - 11:50 am
Presentation Slot Reserved for One of Our Business Partners
11:50 am - 12:10 pm
INTELLIGENT AUTOMATION: PLAYBOOK FOR SCALING AUTOMATION
Strategic Framework: Align automation initiatives with organizational goals, prioritize processes, and develop a phased implementation roadmap.
Technology Stack: Explore advanced automation tools, ensure smooth integration, and regularly update the technology stack for optimal performance.
Governance and Improvement: Establish strong governance for compliance, monitor KPIs, and foster collaboration to ensure continuous improvement and scalability
12:10 pm - 1:40 pm
Lunch and Networking
STREAMS
Stream A: DATA FOUNDATIONS FOR AI
1:40 pm - 2:00 pm ENSURING DATA QUALITY FOR A SEAMLESS IMPLEMENTATION OF AN AI STRATEGY Dr. Rene Brunner - Head of Study Programs Digital Technologies & Coding, Macromedia University of Applied SciencesEric Joachim Liese - Lead Architect and Advisor for AI & Big Data, BSH Home Appliances Group
Comprehensive data profiling to understand the quality of your data, identifying
issues such as missing values, outliers, and data format inconsistencies.
Establishing data quality standards and conventions
for the organization
Cleansing and enriching the data by removing errors, filling gaps, and enhancing it
with additional information
Dr. Rene Brunner
Head of Study Programs Digital Technologies & CodingMacromedia University of Applied Sciences
Stream A: DATA FOUNDATIONS FOR AI
2:00 pm - 2:30 pm Panel Discussion: HOW MAKE GENERATIVE MODELS OPERATE ON INTERNAL DATA Jason Smith - Chief Digital Officer (CDO), Publicis GroupeDr. Jürgen Müller - Head of Generative AI - Global Digital Services, BASF
Axel van 't Westeinde - Data Platform Lead, Van Oord
When it comes to leveraging and creating Generative AI, organizations face a critical
decision of how to integrate the power of LLMs with internal data.
This session will explore the pros and cons of different approaches from:
Prompt engineering
ReAct-based agent models
Combining LLMs with Knowledge Graphs and Graph Neural Networks to training
own models
Stream A: DATA FOUNDATIONS FOR AI
2:30 pm - 2:50 pm ETL UND DIE VORBEREITUNG DER DATEN FÜR AI-IMPLEMENTIERUNG Merlin Bauer - Head of Data Platforms, Ringier● Why does data matter and what has ETL to do with it?
● Vector Database, semantic embeddings and representation of data
● Non technical aspects to take into consideration (People, data iteracy)
● Examples of AI implementations
Stream A: DATA FOUNDATIONS FOR AI
2:50 pm - 3:10 pm BUILDING AND LOCATING AN AI GOVERNANCE SYSTEM – WHY THE ENTIRE ORGANIZATION IS INVOLVED! Daniela Kappler - Chefberaterin Data & KI Governance, DB SystelMarc Stanke - Enterprise Architect, DB Systel
- AI governance is more than the AI Act, is more than an IT topic, AI governance builds on the artifacts of other governance systems and supplements them with AI-specific artifacts
- Risk management, data protection, data security, CSR, legal, IT, technology management, data management, compliance, AI product development, etc. the entire organization is required
- The goal is to integrate instead of just inform, across all dimensions, so that this AI governance system can live and be successful
- The lecture shows how we do this, what challenges we overcome and where we are in our journey together
Stream B: SCALING HYPERAUTOMATION
1:40 pm - 2:00 pm MAINTAINING RPA-PROCESSES IN A LARGE SCALE ENVIRONMENT Steffen Graf - MD Head of Smart Automation, CommerzbankJan Piwowarski - Head of Development Smart Automation, ComTS Finance GmbH (Subsidiary of Commerzbank)
Updates on the smartly scaled their Intelligent Automation program at Commerzbank
(from 5 processes to nearly 200 in under 5 years)
Challenges and solutions in maintaining the highly scaled RPA-processes
Lessons learned
Jan Piwowarski
Head of Development Smart AutomationComTS Finance GmbH (Subsidiary of Commerzbank)
Stream B: SCALING HYPERAUTOMATION
2:00 pm - 2:30 pm PANEL: EXPLORING APPROACHES TO SCALING INTELLIGENT AUTOMATION Wojciech Szremski - Global Head of Automation, Schaeffler AGDr. Jannik Podlesny - Principal, Data & Analytics, Cimpress / Vistaprint
Nicklas Linders - Head of Intelligent Automation Group transformation, Telia
Armand Angeli - Vice-President, Digital Transformation, DFCG (the French CFO network)
A holistic approach to intelligent automation (hyperautomation) involving data,
processes, people and tools
The role that Generative AI will play in the future. Will it augment processes or
completely disrupt them?
Finding the “perfect” all-in-one solution platform for automation scaling
Impact of process automation on sustainability
Discussing the optimal skillset within team and CoEs.
Stream B: SCALING HYPERAUTOMATION
2:30 pm - 2:50 pm EMAIL AUTOMATION AT SCALE Wojciech Szremski - Global Head of Automation, Schaeffler AGChristian Koegler - Manager Digitalization, Schaeffler
Stream B: SCALING HYPERAUTOMATION
2:50 pm - 3:10 pm HYPERAUTOMATION IN FINANCE - HOW MIGHT WE COME FROM HEADLINE TO SCALE? Christian Brumm - Head of FInance Operations Excellence, Zalando SE Disruption of various industries and businesses, which are making Accounting and
Finance susceptible to change.
Engaging in successful value creation through ongoing deep changes in Operating
Model, Talent Strategy, End2End value chain, Technology foundation, and Data
architecture
Impact through a cultural shift and the necessity of a deeper understanding of
human and machine collaboration
Afternoon Session
3:10 pm - 3:40 pm
Coffee, Tea, and Networking
3:40 pm - 4:00 pm
ROI OF INTELLIGENT AUTOMATION: HOW DO WE MEASURE VALUE? AND WHAT ARE THE CONSEQUENCES OF THIS ASSESSMENT?
Dr. Christopher Krug -
Head of Process Automation Technologies,
AXA
Scope of Intelligent Automation on a range between traditional RPA and generative AI
Measuring ROI for Intelligent Automation
Assessing the value of Intelligent Automation for an organization
Consequences of ROI assessment on Intelligent Automation strategy planning
Round Tables
AI is not only changing the
world, but also shaping the
future of people, creating
both opportunities and
challenges for the social
impact sector.
How AI can create
opportunities and
challenges for human
rights in various domains
such as health, education,
environment, and
humanitarian action.
Ethical principles and
frameworks that guide the
use of AI for social impact
and how they work in
practice.
How UNICEF is using AI
to accelerate results for
children
Table 2
4:00 pm - 4:30 pm AUTOMATING HR PROCESSES – OVERCOMING DATA PRIVACY CHALLENGES Discussing the challenges
posed by GDPR regulations
to HR data usage.
Ways to overcome the
challenges, use of statistics
without accessing personal
data and other approaches
Overcoming challenges
posed by differences
in countries’ laws and
regulations
Potential for Gen AI in HR
automation
Table 3
4:00 pm - 4:30 pm TRANSFORMATION OF WORK THROUGH CHAT BOT DEPLOYMENT AND AI INTEGRATION 100% Connectivity to tools
(SAP, MS, Ariba…) and value
creation
Train Your bot:
Companywide but also for
individual requirements
Use cases: Purchase
requisition and order,
supplier invoice statement,
invoice approval and more
Pain Points, Time Waster
and Fear Barrier
Table 4
4:00 pm - 4:30 pm GEN AI APPLICATIONS FOR CUSTOMER SERVICE What parts of customer
service can be fully
automated using Gen AI?
Remaining obstacles and
what needs improvement
Tested use Cases
Table 5
4:00 pm - 4:30 pm DATA FOUNDATION ASPECTS FOR SEAMLESS AI IMPLEMENTATION Ramon Horvath - Engineering Manager, H&M- What is necessary?
- Data Quality,
- Organizational aspect (e.g. Data Mesh),
- How to avoid bottle necks, efficient utilization of engineering resources
Evening Session
4:30 pm - 4:50 pm
GOVERNANCE, OVERSIGHT, AND ACCOUNTABILITY FOR AI – LEGAL REQUIREMENTS AND MARKET DYNAMICS
Ryan Carrier -
Executive Director,
ForHumanity
Examination of the latest changes in legal and regulatory advancement
Impact for design, development, deployment of AI Systems
Impact for regulatory compliance
Liability impact for upstream and downstream compliance
4:50 pm - 5:10 pm
RETHINKING AI AND IMPACT ON BUSINESS AND HUMANITY
A novel AI framework is presented for practical adoption by organizations, emphasizing the importance of avoiding hype and focusing on implementation.
The transformative power of AI in fostering growth and operational efficiency is acknowledged, with a call to leverage its creative potential for sustained innovation within
companies.
The broader macro impact of AI technologies on the coming decades is explored, considering potential consequences and shifts in various sectors.
5:20 pm - 5:30 pm
End of Presentations
Masterclass
5:45 pm - 7:15 pm
CREATING AND IMPLEMENTING A SUCCESSFUL HYPERAUTOMATION STRATEGY
Vera Janevska -
Engineering Manager, Robotic Process Automation,
INGKA Group, IKEA
Dino Omerhodzic - Engineering Manager, Business Process Automation, INGKA Group, IKEA
Hyperautomation is an advanced approach to automation that combines various technologies, including artificial intelligence (AI), machine learning, robotic process automation
(RPA), and other process automation tools. This approach shouldenable organizations to automate a wide range of business processes, going beyond routine, repetitive tasks to
encompass complex, decision-based activities. In this masterclass we disucss possible strategies and real works use cases of hyperautomation.
Setting up the automation ecosystem: integrating and orchestrating a variety of automation technologies and tools, including RPA, AI, machine learning, natural language
processing, and more, to create a holistic automation environment.
• Automating entire end-to-end business processes, including tasks that involve human decision-making, data analysis, and interactions with various systems.
Including (Generative) AI and machine learning to enable systems to learn and adapt, making autonomous decisions and predictions based on historical data and evolving
conditions.
Utilizing process mining and analytics to identify automation opportunities and areas where processes can be optimized.
Integrating and utilizing data from various sources to inform decision-making and process optimization.
Analytics and Reporting: real-time insights and analytics to monitor and improve automated processes continually
