IoT WebTalk: 5G Private & Dedicated Networks for Industry 4.0
Mobile networks are becoming established as the superior means of ‘wire-free’ networking for Industry 4.0 deployments supporting applications from factory floor automation through to automated warehousing, logistics and autonomous vehicles. The advent of 5G brings increased capabilities in terms of capacity, latency and reliability along with a variety of deployment options. A deployment option of interest to many industrial enterprises is mobile Private Networks or Non-Public Networks (NPN); that is, mobile networks that are for the exclusive use of that particular enterprise.
In this IoT WebTalk, industry experts will explain and discuss:
- What 5G Private and Dedicated Networks are and their benefits
- Enterprise drivers for 5G Private and Dedicated Networks
- The various deployment models possible and their features
- Enterprise case studies
Electrification and Global Engineering Alignment Manager- Europe & 5G-Enhanced Manufacture (5GEM) UK Project Lead, Ford UK
Chris White has over 29 years of experience in Powertrain Manufacturing at Ford Motor Company. This has included leading a team of Manufacturing Engineers to install Engine Assembly facilities in multiple locations throughout Europe.
He is now leading a team managing the skills transition required to deliver facilities needed for Electrified powertrains. As part of this role, he leads the 5GEM UK consortium of companies, including Vodafone, to add a 5G network to a pilot facility for E-drives and battery arrays.
Head of Mobile Private Networks, Vodafone
Marc is responsible for leading Vodafone’s Mobile Private Network (MPN) business, which includes on-campus MPN connectivity, dedicated Multi-Edge Cloud (MEC) and associated End-to-End Solutions.
Previously, Marc was Head of Consulting, Innovation & Channel Management, supporting our customers driving innovation and implementing their digital transformation strategy by leveraging the latest communication technology. He was also responsible for our VGE strategy and sales channel management.
Marc joined Vodafone in May 2010 and held various management roles in Vodafone’s IoT business:
As Head of Commercial and Marketing, he was responsible for leading the overall commercial and marketing strategy and execution for Vodafone IoT globally.
Marc was Head of IoT Central Europe & Africa, where he was responsible for driving Vodafone’s IoT growth, business strategy, sales and profit and loss in the region.
As Head of IoT Strategy and Business Development, Marc developed the business strategy for Vodafone’s IoT business, including M&A and the IoT partner management strategy.
Marc has a wealth of senior management experience. After starting his career at HP, he went on to work at Siemens and Cinterion Wireless Modules, focusing on R&D, strategy, business development and product management within the communications and industry sector. There he grew his knowledge of mobile communications and IoT, focusing on the industry sector and process automation.
Marc holds a Master’s degree in Electrical Engineering from the University of Cambridge in the UK and a Master’s in Business Administration from the European School of Business in Reutlingen, Germany.
Executive Director, IoT Capabilities, GSMA
Aruna Srinivasan is the Executive Director of IoT Capabilities at the GSMA. Ms. Srinivasan directs the IoT Big Data, Edge Computing and 5G IoT Manufacturing initiatives, working with mobile operators and ecosystem partners to develop new technology enablers and drive market adoption. Ms. Srinivasan has over 18 years of strategy, technology and programme delivery experience with the GSMA, Third Horizon Consulting, Commonwealth Bank of Australia, Australia Gas Lighting and Arthur Andersen Consulting. She holds Bachelor of Software Engineering and Master of Commerce degrees from the University of New South Wales, Australia.
Principal Technical Architect, GSMA
Stephen Doyle is Principal Technical Architect for GSMA covering topics in the IoT related to Big Data, Machine Learning/ AI and distributed ledgers. A graduate in Computer Systems Engineering from the University of Warwick in the UK he has worked for a range of IT and Telecoms companies comprising equipment manufacturers, mobile operators, and application/ service developers. Since 1994 Stephen has worked in the Mobile Industry mainly in the areas of applications and services and is particularly experienced in the definition, development and usage of web/mobile APIs. For the GSMA he has been leading system architecture and implementations regarding use of Big Data and Machine Learning related to IoT, also the application of distributed ledgers to the IOT and other areas of mobile networks.
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