Edge Computing Expo Global Agenda

• The edge computing market is quickly shifting from theoretical concept to one of value-maturity — where enterprises are actively exploiting and gaining real business advantage at the edge. This maturation has been further propelled by Covid-19 which, amongst its many impacts, has magnified the urgency to transform digital business paradigms. In this talk we will outline some of the key trends and solutions of digital business transformation that are benefiting from edge computing. We will also identify some of the risk factors in that path to transformation, and suggest ways to mitigate those risks.

• Why edge computing should be a key part of a multi-layered and convergent technology strategy
• Understanding how edge computing can enable optimisation of artificial intelligence and machine learning, 5G, IoT, and more.
• How edge relates to cloud computing
• How edge makes the technologies around it stronger

• Advances in silicon and deep learning are enabling embedded machine learning (TinyML) to be deployed where data is born, from industrial sensors to audio and vision.
• Dive into the architecture of TinyML and how the cloud and edge work together in unison
• See selected case studies on how machine learning at the edge is unlocking new value for customers in predictive maintenance, asset tracking, and human interfaces
• Hear how machine learning will enable personalization, the super power of adapting to customers and users

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?

This session will cover:
○ Rethinking aviation infrastructure
○ Enhanced delivery of continuous monitoring
○ Discussing the benefits of low latency data
○ Edge and IOT as the enablers

• Disruptive trends in technology and digital transformation
• Evolving role of financial institutions in the hyper-connected world
• Applications of edge cloud computing in financial services

• How Tesla has set a global standard for continuous product development and why it is important
• Time-to-market and continuous development of AI is crucial for success, requiring tools the whole organization can use as AI is now driving your IP
• How to do continuous product development better than Tesla, regardless of industry.
• Practical use cases how large corporates are using Edge AI to transform their business