5G connected cars, communicating with one another and with the road infrastructure of smart cities, are expected to revolutionize the automotive industry in the near future. 5GC cars will usher in an exciting set of applications, including self-driving autonomous vehicles, making our journeys faster, safer, and more enjoyable.
While this represents a tremendous business opportunity for communications service providers (CSPs), automobile manufacturers, and content providers, one of the biggest challenges will be to secure the underlying mobile network upon which those connected cars rely.
Speakers & Agenda:
- Christine Caviglioli, Automotive Vice President at Thales Analytics & IoT Services, reviews the state of the connected car industry and presents high-value 5G connected car use cases enabled by CSPs;
- Damian Black, Vice President of Business Development at Guavus, explores how to leverage AI and machine learning, analytics, and automation to deliver real-time 5G connected car applications;
- Eric Liebowitz, Chief Information Security Officer, Americas at Thales, discusses the security challenges of a more complex and vulnerable mobile network that underpins connected cars, and what CSPs and automobile manufacturers need to do to protect against security threats;
- Edan Kabatchnik, Vice President of Product Management, Guavus Platform at Guavus, moderates the session.
Audience: Communications service providers (CSPs), mobile network operators (MNOs), IoT and automotive manufacturers and suppliers, and professionals working in the automotive industry, particularly the connected car sector.
Topics:
0:00, Intro
2:03, On the road of 5G self-driving car connectivity
18:23, The application of machine learning for smart maintenance
28:14, IoT and the state of security
