Operational IoT & 5G

Chairpersons welcome and opening remarks. 

• Current roll-out and real-life use of connected cars – what we’ve learnt so far. 
• Utilising Edge technologies for quick response.  
• Securing connected cars – what are the biggest issues in this space? 

• Edge processing for optimum IoT deployments – how this resolves latency and connectivity barriers.    
• The advantages of running on quicker response rates through a de-centralised system.   
• Examples of Edge technologies at work.  

• Ideas on where to start – what needs to be implemented early on in the process of digitising infrastructures? 
• How to understand the data and glean insights through IoT. 
• Edge technologies enabling interconnectivity for truly optimised infrastructures – the advantages of being able to create localised infrastructures.  
• What new services will arise from these optimised infrastructures?  

• Securing the infrastructure – a key factor in strategy development. 
• How interoperable are current solutions in the market? 
• Creating a fully digital infrastructure – how to digitalise legacy systems. 

• The future of the cognitive city with AI and IoT sensors.  
• Utilising edge and 5G capabilities for immediate response connectivity.  
• How to move from legacy infrastructures to a digitally optimised eco-system.  

• The evolution of smart street wear – moving from individual devices to deployed connected systems. 
• What to connect first? A look at a fully connected infrastructure from utilities and smart waste disposable, to autonomous vehicles. 
• Maintaining security and privacy in connected living – where is the line drawn?

To follow soon …

Real-world examples of 5G private networks – where we are currently at in this space and the next steps for more rollouts.  

• How Critical IoT and Massive IoT reach higher capabilities running on 5G.  
• Understanding the role of capacity for the sheer number of connected devices deployed.   
• Running on ultra-low latency for instant data insights and AI responses. 

• Combining AI at the Edge as the ultimate game-changer.   
• Using trials and testing to see where AI can really impact opportunities and experiences.   
• AI and ML as part of critical infrastructure for operations and maintenance optimisation.  

• A look at the current industrial landscape – where is 5G being deployed?  
• The challenges faced so far in implementing 5G in legacy infrastructures.  
• How 5G is creating now opportunities across these spaces.  
• The next frontier – converging 5G, AI and Edge for the ultimate industrial environment.  

• Collaborative working for greater flexibility.  
• Costs of 5G, can Open RAN help to aid the financial burden? 
• The new capabilities to create new features and services at speed. 

• How to break the public perception of 5G.    
• The need to focus on 5G led business models, MNO platforms and services as the next step for commercialisation.   
• Private Vs Public networks – understanding the convergence of these and how it is not a ‘one size fits all’ approach to connectivity.   
• Why MNO’s need to work together to create a digital eco-system for 5G to reach its potential.