The functionality of sensors and other IoT technologies have significantly improved and costs have dropped dramatically. Widely available infrastructure has made it possible to access powerful services that were available to few organizations just a short time ago. Consequently, we see the deployment of IoT applications, services, and processes in all settings. These include aspects of our daily life, the services provided in the public sector, and the management of processes in an industrial and commercial setting. In these developments, the use and exploitation of “Data” plays a central role.
At the heart of value and benefits of IoT is the analysis and exploitation of data in decision-making, and in the execution, of subsequent actions. The creation of “Data” in digital form and the fusion of “Data” from disparate sources enables fact-based analysis that is capable of dealing with the essential complexities of products, services, and processes. The typical use of “Data” can be characterized by three attributes: Volume, Velocity, and Variability. Each of these creates unique challenges that affect the feasibility and scalability of IoT solutions. While we benefit from digitalization, there are also many challenges that we must face in achieving acceptance in deployment and proliferation of practical IoT solutions.
In this track we will focus on the requirements for “Data” in typical applications, actual experiences with “Data” use in IoT deployments, and the opportunities and challenges that come from the collection of “Data” from IoT devices and other relevant sources. Topics we will address include but are not limited to:
- Data-driven business models (pay-per-use, etc.)
- From raw data to meaningful information, including AI and ML methodologies
- Advances in predictive and prescriptive analytics based on IoT data
- Edge and Cloud IoT data processing
- Data quality and data trustworthiness (Provenance)
- Lifecycle curation of Data
- Legal and regulatory aspects, e.g. “who owns the data?”
- IoT-related challenges in data privacy and security
Thomas Hermsdorfer, SET Technologies
Thomas is a former congressman with high experience in committees dealing with research and development and higher education. He is an International networker and specialist in collaboration with science and industry, acting as successful entrepreneur in technology transfer.
Thomas is the founder and owner of SET Technology GmbH in Chemnitz, DE and CEO of its entities. He is also the founder and CEO of SET Asset Management GmbH, Smart City Management GmbH and founder and initiator of several startup companies (f.e. Glyxera, Hammond Germany, ZAF Germany. Thomas is also a board member of three German companies.
Uwe Kubach, SAP SE
Dr. Uwe Kubach works as Vice President Digital Supply Chain (DSC) Enablement in SAP’s Products and Innovation board area. In this role he is responsible for explaining SAP’s DSC strategy to customers, partners, associations, and analysts as well as understanding their requirements and playing them back into SAP’s product management organizations.
In former roles at SAP he has been responsible for the global development of the IoT extensions within SAP’s technology platform and the launch of the SAP Research Center in Dresden, Germany, which he grew to one of the largest research centers within SAP.
He regularly acts as an industrial consultant to organizations like the European Commission, Fraunhofer Gesellschaft, and Industrie 4.0 Platform. He earned a doctorate title in computer science from the University of Stuttgart and an MBA from the Mannheim Business School and ESSEC Paris. He has been granted honorary professor from the University of Dresden.
His work focuses on Industry 4.0 and intelligent machine networks.
Klaus has over 20 years experience in machine building, software development, usability engineering, machine to machine communication and security.
As a pioneer of Industry 4.0 and member of the german Plattform Industrie 4.0 he worked as co-author for fundamental Industry 4.0 publications and is responsible for relevant internal and public research projects at TRUMPF.
Talk Title: AI and the Smart Factory
David Boland is the Cloud Solutions Principal Architect for the Automation and Energy Group at Analog Devices. He is responsible for realising and enabling cloud solutions across all of Analog Devices and has experience bringing healthcare, industrial, energy, agriculture and enterprise services to the cloud.
David has worked for Analog Devices for over 20 years and has extensive experience with all facets of software development and services, from lowly device drivers to large scale distributed software solutions.
David graduated from the University of Limerick in 1999 and holds a BSc in Computer Systems.
Talk Title: Big Data Architectural Patterns and Best Practices for Energy Utility Monitoring
Smart meters containing Analog Devices mSure technology enables energy companies to gain valuable insights into the health and utilization of their networks. By providing extensive usage and forecasting patterns companies can optimize network maintenance costs and increase revenue protection. These capabilities are derived from mSure reports that are securely transmitted along with regular energy metrology data to the network head-end system. A typical mSure enabled energy network will generate vast amounts of data that scale to volumes that are on par with other Big Data domains. Research and testing of early prototypes revealed that although the Big Data characteristics of value, velocity, veracity and variety are all favourable, it is nonetheless a significant challenge to process this volume of data in a cost effective manner. The major obstacles to a successful solution include compute costs and timely insight generation. The lessons gained through the continuous development, deployment, and testing of prototypes and subsequent minimum viable products resulted in several key learnings. These learnings and best practices ultimately enabled the development of our Analog Devices Energy Analytical Studio service that can scale to process millions of meters across wide geographical regions and provide our customers with valuable health and revenue protection insights. During the presentation we will outline the architecture of the Energy Analytical Studio service, discuss the key learnings that enable this architecture and detail the genesis behind those key learnings.
Sven Löffler, Business Development Executive for Big Data & Data-Driven Business. In his role and global responsibility within T – System is he responsible for identification and development of Big Data & Data-Driven solutions. In his previous roles he was responsible as an Executive IT Specialist (OpenGroup certified) and Business Development Leader for IBM Watson & Big Data solutions. In his previous positions over the last 20 years he collected experience in various sales support positions in Germany and Europe. He has proven and extensive experience in the business intelligence, performance management and Big Data market and support services , technical sales and marketing at the Go to Market Strategy.
Talk Title: Unleash the Power of Data Sharing & AI – Telekom Data Intelligence Hub
Sebastian Steinbuß worked for nine years at the Fraunhofer-Institute for Software and Systems Engineering as Scientist in the context of Cloud Computing, Big Data and IoT. Here, he gathered experiences regarding Digitization in Logistics and Service Industries. Since 2017 he is the Lead Architect of the International Data Spces Association. Here he is responsible for the technical development of the IDS.
Talk Title: From Industry 4.0 to Data Economy
Dr. Sun joins STATS from JPMorgan Chase, most recently serving as Chief Technology Officer of the Commercial Banking division. For over 22 years, Sun has a proven record as a technology strategist and thought leader in previous roles as Vice President of Cloud Computing, Information Management, and Architecture at Motorola Solutions; Senior Director of Global Enterprise Architecture at Salesforce; and Director of Enterprise Architecture at Oracle.
Dr. Sun is a leader in transforming businesses through innovative solutions, and has published 3 books on the topics of big data and advanced analytics.
Sun earned a Ph.D. in Education Technology and Information Systems from The University of Toledo prior to her extensive leadership experience across multiple financial and software organizations. She has been recognized by the Chicago Business Journal as “Business Woman of the Year” and as a featured speaker at the University of Chicago’s “Women in Analytics” symposium. On July 16, 2018, Dr. Sun was recognized in Crain’s Tech 50 of 2018.
Dr. Marco Ulrich is heading the department “Software Technologies and Applications” at the ABB Corporate Research Center Germany. Research areas range from IoT and communication topics to software architectures and cloud computing up to Artificial Intelligence, data analytics and operation management technologies.
He received his diploma degree in physics from the University of Karlsruhe, Germany in 2004 with the main focus on solid state optics and electron-spin resonance. In 2007 he received his PhD degree in Physics from University of Heidelberg in co-operation with the German Cancer Research Center on medical NMR spectroscopy.
Talk Title: Autonomous Systems in Industry
Progress in IT and communication technologies are the main driver for the digital transformation in domains such as industrial automation and power industries. Devices, things and people are more and more connected in the IIoT (Industrial Internet of Things) and a vast amount of data becomes available. New emerging technologies such as artificial intelligence and advanced data analytics will impact the new digital industries in a strong way: old and established business models will fade out and new opportunities will appear. This will be the basis for autonomous systems in industry.
In this talk, an industrial view on this new eco-system will be provided and discussed: how do IoT technologies play together with artificial intelligence and data analytics and how will this lead to autonomous systems in industry? Finally, some concrete examples from an industrial ABB perspective will be provided. The focus will lie on industrial automation and electro-mobility use-cases.