Enterprise Edge Computing

• Enhancing predictive maintenance and industrial inspection via the Edge.
• Setting up precision monitoring and control with Edge.
• The emergence of Manufacturing as a Service.

• How do we achieve the bandwidth needed to create multi-access touchpoints? Could Software-defined networking (SDN) be the answer?  
• Knowing when to implement Edge – not a one size fits all approach. 
• How to keep Edge infrastructures secure.  

• Perspectives on the Edge landscape right now. 
• What are the key challenges being faced across industries that need to be addressed? 
• What questions still need to be answered about the efficacy of this technology? 
• Use cases and demos of how Edge is impacting industries.  

• How do we achieve the bandwidth needed to create multi-access touchpoints? Could Software-defined networking (SDN) be the answer?  
• Knowing when to implement Edge – not a one size fits all approach. 
• How to keep Edge infrastructures secure.  

• Working closer to the Edge to reduce data and process latency.  
• Communicating with the core for optimised data movement.  
• Access rights to data – how to combat this early on. 

• Rethinking healthcare infrastructure.
• Enhanced delivery of at-home and in-hospital care- continuous monitoring of patients.
• Benefits of having access to medical data with low latency.
• Edge and IOT as the enablers for telehealth.

To follow soon …

• An added layer of security at each access point.  
• Not putting all your eggs in one basket – the benefit of de-centralised storage.  
• Growing pains – spotting the security flaws in this developing technology.  

• Why AI and machine learning are increasingly being implemented at the edge.
• Growing popularity of swarm computing at the edge.
• Best practices in implementation.
• Creating personalised experiences with edge-powered artificial intelligence.
• Discussion of specific (real world) use cases for edge AI and swarm computing.