Edge Computing Expo North America Agenda

Opening talk – overview of sessions and key highlights.

• What is the edge anyway?
• Why edge computing is a necessary complement to IoT and AI
• Innovative use cases for edge computing

Edge Computing allows IT leaders to run mission-critical applications and infrastructure outside the four walls of the datacenter. Edge deployments need a high degree of automation and low touch IT management, and must be cost effective with a measurable Return on Investment (ROI).

It is predicted that by 2025, three-quarters of enterprise-generated data will be created and processed at the edge – outside a traditional centralized data center or cloud (up from just 10% in 2018). Will you be ready to take advantage of the benefits edge computing offers?

In this session attendees will learn:

• Use cases of how IT leaders in all industries are using edge computing to meet their business needs
• Which kind of infrastructure platform is needed to be successful?
• How to reduce management costs by 60%-80% with self-healing automation and intelligence

Edge computing represents a great opportunity for many participants in the tech ecosystem, but they cannot do everything alone. Cloud companies are teaming up with telecom providers to combine infrastructure strength with network capability – and the race is on to get developers building applications which make the most of 5G and AI, enabled by edge technologies.

• Defining edge as a value proposition for cloud and telecoms
• Exploring the partnerships already taking place
• Using AI to improve performance of edge devices
• What applications will result from this, and who will ultimately win the race?

• Understanding the challenges for highly distributed infrastructure in the enterprise
• How can density, cost and remote challenges be overcome?
• In what ways can cloud-like operations be achieved through automation and monitoring?
• Tactics for preventing infrastructure security and availability exposures discussed.

• Background & definitions
• Design goals/constraints
• Building shell
• Power & Cooling
• Deployment

• Why AI and machine learning are increasingly being implemented at the edge
• Growing popularity of swarm computing at the edge
• Best practices in implementation
• Discussion of specific (real world) use cases for edge AI and swarm computing

• Edge as the enabler for Advanced Driver Assistance
• Adaptive & predictive vehicle maintenance
• The importance of edge in the design of intuitive infotainment systems
• How edge enhances driver safety by ensuring data security