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Session 2: Networking Intelligence

The network of the future—connectivity and robotics as an opportunity for industrial and medical engineering companies

The Covid 19 pandemic has presented new challenges—not just healthcare-related, but to our data acquisition systems as well. Without artificial intelligence, we would have managed the crisis much worse than we did—this is the unanimous opinion of the scientific community. A multitude of learnings and opportunities can be derived from this. How does AI impact the future of our healthcare system? What are the potentials that companies can unlock—and what ethical challenges do we have to face?

The following scientists will explain new communication and connectivity technology.

Ewa Dürr, Google
Dominik Metzger, SAP
Dr. Wen Tong, Huawei Technologies
Dr. Anna Bauer-Mehren, Roche Innovation Center Munich
Session Chair
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AI has long made the leap from science into our everyday lives—that is the hypothesis of Ewa Dürr, Chief Engineer for artificial cloud intelligence at Google. She explores how companies can advance their business using AI.

Semiconductor crisis, drug shortages, and inflation: Supply chain disruptions are the biggest threat to our economy, says SAP Manager Dominik Metzger. The Covid crisis has proven this multiple times. His answer is ‘network awareness’. He sees smart industry networking as the new megatrend and a suitable approach to supply chain issues.

Dr. Wen Tong looks into our mobile communication technology of tomorrow. He predicts how the 6G standard will impact smart robotics. The Huawei CTO expects nothing less than a revolution in multi-robot communication and collaboration. In addition, he will explain the potential of Artificial Intelligence with regard to so-called Real World Data (RWD).

Dr. Anna Bauer-Mehren from the Roche Innovation Center Munich will address a similar topic. She will talk about the significance of Real World Data in Covid-related medical processes and coronavirus research.

Speakers and presentations in this session

“Empowering enterprises to transform their business with AI”

As an industry, we’ve managed to transition artificial intelligence (AI) from ‘research’ to a technology that is a part of the lives of countless people around the world. In this session we will talk about how enterprises have embraced AI and the power this technology has for the future. At the same time, we recognize that powerful AI technology raises equally powerful questions about its use. As leaders in AI, we feel a deep responsibility to get this right and will talk about principles, governance and fairness of AI, highlighting some of the best practices.

Ewa leads Product Management team for Product Engineering Cloud Artificial Intelligence team at Google, California. Before Google, Ewa was an entrepreneur and led product management, innovation and business development at the SaaS start-up, impacore GmbH.

Ewa owns an MBA from Harvard Business School and has a multi-year experience as a management consultant in Bain & Co., World Bank/ Rwanda Development Board and A.T. Kearney. She brings in global perspective: worked and studied across six continents (Europe, LatAm, North America, Africa, Asia and Australia) and is fluent in six languages (native: Polish, fluent English, German, Spanish, Italian, Russian).

Interestingly, Ewa used to professionally play in the orchestra as first violinist and is a passionate marathon runner, motorcycle rider and holder of a helicopter private pilot license.

Empowering enterprises to transform their business with AI

As an industry, we’ve managed to transition artificial intelligence (AI) from ‘research’ to a technology that is a part of the lives of countless people around the world. In this session we will talk about how enterprises have embraced AI and the power this technology has for the future. At the same time, we recognize that powerful AI technology raises equally powerful questions about its use. As leaders in AI, we feel a deep responsibility to get this right and will talk about principles, governance and fairness of AI, highlighting some of the best practices.

Hightech-Summit Session 2: Networking Intelligence

“The Network-Aware Factory: The Impact of Business Networks for Intelligent Factories”

Manufacturing companies, in both discrete and process industries, are experiencing an increase in the complexity of their operations. These complexities are caused, amongst others, by significant supply chain disruptions across the entire value chain of manufacturers and their network of contractors and suppliers. Examples include supply shortages e.g., caused by logistical disruptions or a lack of raw materials and components due to macro-economic impacts. At the same time, it is expected for manufacturers to comply to each increasing requirements around traceability. In many industries, such as life sciences or consumer products, this has been a default. For other industries, such as automotive or industrial machinery, the capability to trace the root cause for a machine failure is becoming more and more important. While in the last 10-15 years a huge emphasis has been on factory automation, the new mega-trend, that we will discuss in this session, is the network-aware factory. Network awareness allows factories to anticipate and react to supply chains disruptions with much more agility while providing an end-to-end parts and material traceability across value chains.

Dominik Metzger is part of the SAP Product Engineering organization for Digital Supply Chain and works as Head of Product Management for Manufacturing & Industrial IOT. A key cornerstone of SAPs Digital Supply Chain strategy is to bring significant productivity increase and cost reduction to customers with the capabilities of Industry 4.0. SAPs Industry 4.0 strategy is called Industry 4.Now with a high focus on Intelligent Products, Intelligent Factories/Plants, Intelligent Assets and Empowered People based on technology enablers with the Industrial IOT.

The Network-Aware Factory: The Impact of Business Networks for Intelligent Factories

Manufacturing companies, in both discrete and process industries, are experiencing an increase in the complexity of their operations. These complexities are caused, amongst others, by significant supply chain disruptions across the entire value chain of manufacturers and their network of contractors and suppliers. Examples include supply shortages e.g. caused by logistical disruptions or a lack of raw materials and components due to macro-economic impacts. At the same time, it is expected for manufacturers to comply to each increasing requirements around traceability. In many industries, such as life sciences or consumer products, this has been a default. For other industries, such as automotive or industrial machinery, the capability to trace the root cause for a machine failure is becoming more and more important. While in the last 10-15 years a huge emphasis has been on factory automation, the new mega-trend, that we will discuss in this session, is the network-aware factory. Network awareness allows factories to anticipate and react to supply chains disruptions with much more agility while providing an end-to-end parts and material traceability across value chains.

Hightech-Summit Session 2: Networking Intelligence

“6G will revolutionize the Intelligent Robot”

The emerging 6G connectivity with the new capabilities such as integrated sensing and communications with Tera-Hertz frequency and networked machine learning can enable a new paradigm of cloud robots. With the low latency and high reliability 6G wireless connectivity, we can re-architect the collaborative robots, interactions of the robots and even the tactile sensing with virtualized cloud-based AI, the advantage of the 6G intelligent robots will allow the unification of a global platform for sensing, communications, computing and control and anywhere and anytime.

Dr. Wen Tong is the CTO, Huawei Wireless. He is the head of Huawei wireless research. In 2011, Dr. Tong was appointed the Head of Communications Technologies Labs of Huawei, currently, he is the Huawei 5G chief scientist and led Huawei’s 10-year-long 5G wireless technologies research and development.

Prior to joining Huawei in 2009, Dr. Tong was the Nortel Fellow and head of the Network Technology Labs at Nortel. He joined the Wireless Technology Labs at Bell Northern Research in 1995 in Canada.

Dr. Tong is the industry recognized leader in invention of advanced wireless technologies, Dr. Tong was elected as a Huawei Fellow and an IEEE Fellow. He was the recipient of IEEE Communications Society Industry Innovation Award in 2014, and IEEE Communications Society Distinguished Industry Leader Award for “pioneering technical contributions and leadership in the mobile communications industry and innovation in 5G mobile communications technology” in 2018. He is also the recipient of R.A. Fessenden Medal. For the past three decades, he had pioneered fundamental technologies from 1G to 5G wireless with more than 510 awarded US patents.

Dr. Tong is a Fellow of Canadian Academy of Engineering, and he serves as Board of Director of Wi-Fi Alliance.

6G will revolutionize the Intelligent Robot

The emerging 6G connectivity with the new capabilities such as integrated sensing and communications with Tera-Hertz frequency and networked machine learning can enable a new paradigm of cloud robots. With the low latency and high reliability 6G wireless connectivity, we can re-architect the collaborative robots, interactions of the robots and even the tactile sensing with virtualized cloud-based AI, the advantage of the 6G intelligent robots will allow the unification of a global platform the for sensing, communications, computing and control and anywhere and anytime.

Hightech-Summit Session 2: Networking Intelligence

“AI in Pharma R&D”

Artificial intelligence (AI) is playing an increasingly important role in many areas, including the healthcare industry. The COVID-19 pandemic demonstrated how important real-world data (RWD) is for informing public health policy decisions, improving clinical trials and understanding disease.

In this presentation, we are demonstrating the power of AI methods applied on real world data with respect to understanding disease, identifying risk factors and biomarkers.

In this talk, we will discuss the main challenges in multi-robot collaboration and coordination showing examples of possible approaches in different applications areas and with both mobile robots and manipulators.

Anna is a Bioinformatician by training and leads the Data Science Department in Roche Pharma Research and Early Development in Germany. Her team supports pre-clinical and clinical research teams through data management and data analysis, applying in particular Artificial Intelligence methods. We are analyzing high-dimensional data such as imaging data, genomic information, and data from electronic health records to better understand diseases and develop personalized therapies.

AI in Pharma R&D

Hightech-Summit Session 2: Networking Intelligence

Session Chair

Networking Intelligence is hosted by Session Chair Prof. Dr. Alin Albu-Schäffer, DLR – German Aerospace Center: Institute of Robotics and Mechatronics.


Technologies have the potential to assist humans and improve our quality of life. However, it is essential to design technologies with a focus on the benefits for the many, and not the few. Question of social justice and equity need to move to the center of technology development, particularly in fields such as AI and robotics. To this end, we must foster interdisciplinary collaborations between the social sciences and AI research and address social, ethical and political questions in an integrated way already during technology development.

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