This is what the future of production looks like: Machines communicating with machines and the resulting products, which independently find their way through the production facility. What kind of environment will Digital Germany need to create for this? Which IT platforms and network standards will prevail? What are the steps and the speed of this transformation? How will digitization impact factories and products, and what innovations can be expected by 2030?
Experts from all over the world will answer these and many other questions:
Connected factories will establish new platforms and there will not only be new prod-ucts, but entire new B2B business models as well. One of the key tasks of every manufacturing company will be to generate and intelligently evaluate data. The vision here is that production will one day control itself while continuously ‘learning’ and op-timizing itself. This leads to new types of products manufactured with new processes. It applies to development (keyword: systems engineering) as well as to (autonomous) production and data exchange between products over their entire service life.
In a nutshell: Great upheaval is on the horizon. Decision-makers must make sure not to miss anything these days so their companies continue to be successful. Attendants of the munich_i Hightech Summit will be well prepared for things to come and can set the course for transformation to full connectivity at an early stage.
Augmented reality for technicians, autonomous robots in production, remote-controlled machines on the factory premises - the future of industry is smart and fully connected. This requires data exchange in real time, high bandwidths, maximum flexibility and secure networks. 5G is the booster technology for the evolution of industry - from medium-sized companies to large corporations.
Dr Hannes Ametsreiter (born 1967) has been CEO of Vodafone Germany and member of the global Vodafone Group’s Executive Committee since 1 October 2015. Born in Salzburg, the reputed telecommunications manager has more than 20 years of telecoms experience in convergent markets and outstanding expertise in marketing and brand management. He played an instrumental role in positioning Vodafone as a gigabit company and restoring growth by introducing increasingly fast speeds, convergent solutions and attractive products that integrate mobile, fixed, internet and TV. Before joining Vodafone, Dr Ametsreiter served for 6 years as Chairman of the Management Board and Chief Executive Officer of the Telekom Austria Group, and was also CEO of A1 Telekom, a company created through the merger of Mobilkom Austria AG and Telekom Austria TA AG. He also has longstanding experience in corporate finance.The Vodafone Germany CEO is married with two daughters.
In the same way computing platforms and the internet created a broadly accessible medium for innovation, building Autonomous Systems need a new approach with defacto standard platforms, open interfaces and toolchains. We share what we are doing at Microsoft to make that happen.
Corporate Vice President for Business AI at Microsoft Corp, and part of the Technology & Research Leadership Team
"Gurdeep Singh Pall is the Corporate Vice President for Business AI at Microsoft Corp, and part of the Technology & Research Leadership Team.
He joined Microsoft as a software design engineer (1990) after graduate school at University of Oregon. Pall was part of the Windows NT development team, working on the first version of Windows NT 3.1 (1993), all the way through Windows XP (2001). He led design and implementation of core networking technologies such as PPP, TCP/IP, VPNs, Internet Routing, and Wi-Fi, and parts of the operating system. Since then, he has led Conversation-as-a-Platform, Microsoft Speech, Tellme, and Bing Maps initiatives.
Gurdeep Pall now leads the Business AI Group at Microsoft, a team comprising of Research Scientists, Engineers and Business leaders, bringing digital transformation to business tasks thru the power of AI, including a recent effort to train Autonomous Systems with Reinforcement Learning efficiently. Prior to this he was responsible for Skype, Skype for Business and Microsoft Teams efforts, including starting Lync and developing it into a multi-billion $ business.
Pall has been a keynote speaker at many conferences. He was named one of the "15 Innovators & Influencers Who Will Make A Difference" (2008) and co-authored "Institutional Memory Goes Digital," which was presented at the World Economic Forum 2009. Pall holds 25+ patents in networking, VoIP and collaboration areas. He has served on the board of trustees of Ashesi University, Ghana.
Organizations with digital transformation initiatives are making the shift from visionary ambitions to practical projects. These organizations have defined their high-level digital transformation objectives, and are now looking to their engineers and scientists to achieve them. This will involve learning new technologies, collaborating with unfamiliar groups, and proposing new products and services. To meet this challenge, technical organisations must master how to systematically use data and models, not only during the research and development stages, but also across groups throughout the lifecycle of the offering. An effective digital transformation plan needs to consider changes in people’s skills, processes, and technology. Join us as Jim Tung describes this pragmatic approach to digital transformation and demonstrates how engineering and scientific teams are leveraging data and models to achieve their digital transformation objectives.
The MathWorks Inc.
Jim Tung is a MathWorks Fellow, focusing on business and technology strategy and working with key customers and partners. Jim has more than 35 years of experience in real-time systems, data acquisition, and technical computing, including 30 years at MathWorks. Jim was previously vice president of marketing and vice president of business development at MathWorks, and earlier held marketing and sales management positions at Lotus Development and Keithley DAS, a pioneering manufacturer of PC-based date acquisition systems.
This talk highlights a networked production scenario being part of a recent Industy 4.0 GAIA-X project. AI capabilities are introduced for different usecases, i.e. focusing on quality control and robot path planning in unstructured environments. Data are collected from shopfloor and processed on edge for smart service deployment. Outlook is given on how AI will support the engineering process of connected smart factories.
CSO – Chief Strategy Officer Manufacturing European Standardisation and Industry Development Dep. (ESID)
Huawei Technologies Duesseldorf GmbH
Jürgen Grotepass has graduated from RWTH Aachen, holding a PhD in Machine Vision and Machine Learning. He has worked for the automotive and automotive supplier industry in leading positions for more than 25 years with broad experience in managing innovation, R&D and large industry projects related to automation, robot vision and smart production. The implementation of digitization strategies for adaptive production lines and Industrie 4.0 brownfield consulting became his field of expertise since 2014.
Since 2014 he is with HUAWEI Technologies Duesseldorf GmbH, European Research Center (ERC) in Munich responsible for brownfield consulting for manufacturing lines and greenfield consulting to build up a smart process lab in Germany. Since April 2020 acting as CSO Chief Strategy Officer Manufacturing, promoting key technologies for manufacturing industries, i.e. AI and 5G for upscaling Smart Factories.
Jürgen Grotepass is honorary professor at Tongji University (CDHK) in Shanghai since 2005. His annual lectures are on robot vision solutions and smart data approaches in current shopfloor environments and future smart factories.
Jürgen Grotepass is elected Chair of the 2021 created Working Group of ZVEI on AI for Industrial Automation (AI:IA at www.ZVEI.org).
Energy Demand is climbing rapidly and the move to automation in all aspects of our life continue to increase these demands. The potential impact of automation and robotics is a dual edge sword like with all other technologies. We need to find balance in how this potentially disrupts our society globally as the potential of Robotics coupled with relatively low cost energy today, can reach almost any part of the world and disrupt almost everything we do.
Vice President of Corporate Science and Technology Projects for Total S.A. in North America
Shaffiq Jaffer is the Vice President of Corporate Science and Technology Projects in North America (NA) with as mission to find and fund novel ideas and technologies that will lead to breakthroughs to meet future energy demand while addressing the climate challenges. He is engaged across the research ecosystem: academia, startups, and private research companies, focused on building long lasting relationships that create value for TOTAL and its partners. Prior to TOTAL, he has worked for P&G and Koch-Glitsch in research and engineering roles. He was educated in Canada at University of Alberta (BSc) and McMaster University (PhD) and is a Fellow of Canadian Academy of Engineering (FCAE).
“Connected world” will be moderated by Prof. Dr. rer. nat. Edward G. Krubasik as Session Chair.
I am very pleased that automatica sprint, in cooperation with the Munich School of Robotics and Machine Intelligence (MSRM), is hosting an outstanding international robotics conference, the “munich_i Hightech Summit”. This offers a great opportunity to bring together industry experts and luminaries of international science in the field of robotics and artificial intelligence in high-tech Bavaria.
Participation in munich_i is included in the ticket for visitors to the automatica sprint digital platform.