AI Strategy Dialog, 28th November 2017

AI technologies have become a part of daily life. AI can be monetized in digital business models. Chat-bots, personal assistants, roboadvisors, machine learning und cognitive computing are relevant technologies and become parts of corporate strategies. Big data technologies, open source software, cloud computing and affordable high performance computing dramatically reduce costs for cpu-consuming tasks like analysing patterns and trends in the web. AI based business models can actually pay off. Mega trends like IoT/m2m, smart products or intelligent supply chains become even more boost with cheap AI available.

We experience the dawn of AI age. Behind all the hype there are remarkable actual breakthroughs. A new kind of software autonomously anticipates wishes of users and customers by cognizing patterns, knowledge, plannings and even argumentations. This process called machine learning makes the development of new software even quicker and cheaper. Software develops software. Machine learning is and will remain below human intelligence but the development reached a maturity level that enables more profitable business models and more efficient processes.

Topics:

AI Business Models
Digitization
War for AI talents
Agile organisation
Deep learning
AI for structured data
AI and Big Data
Machine learning
Cognitive computing
Voice interfaces
Voice recognition
Tensorflow
Simulations
Cognizing patterns
Conversational AI
Chatbots
Personal assistants
Roboadvisors
Open source trends
Cloud as super computer?
High performance computing (HPC)
AI based products for volume markets
Complex neuronal networks (hardware and software)
AI in manufacturing and engineering
AI in IT Security

Hans Ehm
Lead Principal Supply Chain Management
Infineon Technologies AG

AI in Complex Supply Chains

The semiconductor industry is challenging – capital intensive, volatile, short product life cycle, complex and long manufacturing process, truly global supply chain
Flexibility in the make and in the plan Ppocess enabled by SCOR based processes can be one side of the solution, best-of-breed IT systems with AI elements for decisions, decision support and predictions can be the other side
New challenges increase the complexity further and how AI with an ontology based semantic web offers solutions for this challenge

Hans is Lead Principal Supply Chain of Infineon Technologies AG and responsible for Supply Chain Innovations. He holds degrees in Physics from Germany and a Master in Mechanical Engineering from Oregon State University / USA. In his more than 30 years of experience in the semiconductor industry, he was granted managing and consulting positions at wafer fabrication, assembly & test, and global supply chains. He is Board member of camLine Holding AG, an IT company providing software for supply and quality chains. He was chairman of the European Leadership Team of the Supply Chain Council and is a past Board Member of APICS SCC. He leads the working group SCM at ZVEI.

Hans teaches Supply Chain Management at Universities and initiates innovative academic curriculums. In 2015, he was awarded with the renowned LEO-Award (Logistics Excellence Optimisation) in the category “Manager” from DVZ Media Group.

Dialog Partners (Excerpt)

Company	Role
Insurance Chamber Bavaria	Head of Big-Data & Analytics
Infineon Technologies AG	Lead Principal Supply Chain Management
SUSI & James GmbH	CEO & Co-Founder
Lufthansa Group	Director Customer Data & Advanced Analytics
Siemens AG	Director Data Analytics (CF A IT Audit)
Valtech GmbH	Director Data Analytics
ProSiebenSat.1 Media SE	Director Finance Group Special Projects Office
Cargill Animal Nutrition	Global Material/Equipment Supply Lead
SMS Digital (SMS Group)	Head of Sales
Deutsche Bahn AG	IT Strategy Manager, Dept. Architecture and Synergies
Merck KGaA	Project Head Innovation Management
Deutsche Telekom AG	Business Development Europe
Siemens AG	Product Manager & Principal Consultant Digital Business
Porsche Engineering GmbH	Product Manager & Principal Consultant Digital Business
Hamburger Hafen und Logistik AG	Head of Corporate Development
HEAG Holding AG	Board Member
DB Systel (Deutsche Bahn)	Portfolio Manager
Kühne + Nagel	SVP Global IT
Vienna Stock Exchange	COO/CTO (Board Member)
WILO SE	Director Infrastructure Services
WILO SE	Group Director Regional IT-Services
Procter & Gamble	Director Manufacturing and Order Management Systems
Stihl	Head of R&D Electronic
DFS German Aviation Security	Head of Corporate Development
R+V Insurance	Internal Consultant HR IT and Controlling
AMAG Automobil- und Motoren AG	Team Leader Digital Business Projects
AMAG Automobil- und Motoren AG	Project Lead Digital
Union Asset Management Holding AG	Head of Accounting
Municipal Utilities Wuppertal GmbH	Head of Process Excellence
DATEV eG	Head of Projects DATEV Lab
QIAGEN GmbH	Senior Algorithm Expert
Innogy SE	Product Owner
Deutsche Bank AG	Director Digital Factory

Program

Time	Activity
8:00	Visitor Registration
9:00	Opening
9:15	A Beginners guide to get started with AI – Scenarios, Mistakes, Learnings How to create positive and significant impacts with AI Which use cases make sense and which don't? AI journey: start well or mess it up from the very start Marcel Kling, Director Customer Data & Advanced Analytics, Lufthansa Group
9:50	The Huge Potential of AI Assistants Customer Interface Voice Interface Call Center Porsche Case Study Dr. Jonas Moßler, CEO & Co-Founder, SUSI & James GmbH
10:25	Coffee Break
10:40	Networking Session 1 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:10	Networking Session 2 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
11:40	Networking Session 3 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12.10	Networking Session 4 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
12:40	Lunch with Networking
13:40	AI meets Big Data: Pimp Your Data Lake For AI Do more data and CPU power improve models? Building the data center Considerations about a distributed machine learning architecture Use Case: Using AI in developing autonomous vehicles Jan Wiegelmann, Director Data Analytics, Valtech GmbH
14:15	Smart Data as Part of an Holistic AI Initiative How relevant is data for digital disruption? Why now for insurance companies? Use cases in the fields of claims and customer support Next steps Dr. Shivaji Dasgupta, Head of Big-Data & Analytics, Versicherungskammer Bayern
14:50	Networking Session 5 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
15:20	Networking Session 6 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
15:50	Networking Session 7 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
16:20	Networking Session 8 • Supplier Meetings • One-on-one Leader Meetings • Leaders Circle
16:50	Coffee Break
17:20	AI in Audit Management: Technologies - Processes - Structures Why AI in auditing? Use cases Technology selection Organisational changes Outlook Jochen Gross, Director Data Analytics (CF A IT Audit), Siemens AG
17:55	AI in Complex Supply Chains The semiconductor industry is challenging - capital intensive, volatile, short product life cycle, complex and long manufacturing process, truly global supply chain Flexibility in the make and in the plan Ppocess enabled by SCOR based processes can be one side of the solution, best-of-breed IT systems with AI elements for decisions, decision support and predictions can be the other side New challenges increase the complexity further and how AI with an ontology based semantic web offers solutions for this challenge Hans Ehm, Lead Principal Supply Chain Management, Infineon Technologies AG
18:45	Networking Dinner Lounge - Chill Out After an Exciting Day

You can apply and attend if you are a c-level decision maker and budget owner from a major buying company and want to discuss projects, ideas, solutions and strategies with suppliers and peers in one-on-one and group meetings. Participation is free of charge. Please only apply when you are sure you can make the date. With your registration we start the matching process and other participants will look forward to meeting you. This registration is not for suppliers.

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All solution partner packages include the following services:

Invitation of corporate decision makers who are interested to meet with suppliers to discuss projects.
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The booking becomes valid when confirmed by Cintelligence.
Cintelligence guarantees for the services stated above.
Payment is due prior to the event after booking, because Cintelligence starts to work for the client immediately after booking (presentation of solutions, research etc.) and needs to pay servcies in advance herself.
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Place of jurisdiction shall be Potsdam (close to Berlin), Germany

Business Matching

How it works

Cintelligence was founded by leading experts for networking and business development events.

Our invitation and admissions strategy creates qualified high level experts groups to assure meaningful networking.
As attendee you’ll receive an online questionnaire for your interests and competencies you’d like to share.
Your profile based on the questionnaire will be matched with the profiles of peers and solution partners.
The results of this matchmaking will be documented prior to the event in our online platform, i.e. you’ll see how other members can help you with your challenges or how you can help them.
Results are being sorted by relevance.
Based on these results you can ask for and prioritize meetings or be asked by others within the online platform.
Based on these wishes we’ll propose meeting schedules with individual agendas for you to make the most out of limited time.

According to our experiences self service systems do not work properly for high level business networking since decision makers simply don’t have the time and focus outside their core business. This is why we proactively help our customers to find their meeting partners. Our system guarantees maximum networking results in the most efficient way for decision makers.

AI Strategy Dialog, 28th November 2017

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Leading AI business summit in Central Europe. Mastering AI means mastering future markets. Corporate strategies without AI can no longer be considered strategies. By enabling networking with leading experts AI Strategy Dialog provides crucial insights to corporate key players.

Business Matching