Accelerating The IoT & Edge Computing

Chairpersons welcome and opening remarks. 

• Prioritising the focus – utilising technologies to offer new services.   
• A new approach to the business through data-guided changes.   
• Adopting Society 5.0 and the new strategies here. 

• Real-time decision making through IoT sensors.  
• Contextualising the data correctly – ensuring you are reading and actioning the correct response.  

• The key focus when developing – security, privacy, compatibility and connectivity.  
• Ready for the market – where to look for investment and funding opportunities. 

• Current building automation capabilities.  
• Securing smart infrastructures – what key steps need to be taken to help create a robust cyber strategy?  
• What are the current standards and protocols to help create an interoperable infrastructure? 
• What new services will arise from AI, ML and 5G-optimised infrastructures? 

• 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? 
• The advantages of being able to create localised infrastructures. 
• Edge technologies enabling interconnectivity for truly optimised infrastructures. 

• The future of the cognitive city with AI and IoT sensors.  
• Utilising edge and 5G capabilities for immediate response connectivity.  
• IoT’s role in building a sustainable infrastructure. 

• ‘The Roadmap to Edge’, what happened in 2022 and where are we now? 
• The edge computing landscape is evolving fast. How can enterprises best prepare to ride the upcoming trends? 

• Edge-enabled enterprise transformation has the potential to accelerate delivery value, and reduce operational costs to ensure efficiency. 
• How to evaluate edge performance to ensure it is a worthwhile investment for your organisation. 
• The ongoing chicken and egg debate: Can we afford to wait for monetizable applications before making the investment needed to scale up edge infrastructure? 
• Do the benefits of Edge outweigh the high financial cost of accelerating its deployment? 
• To what extent do private cellular networks offer the solution to scale up the edge in strategic and commercial locations? 
• Will the footprint of Edge infrastructure naturally grow in line with the deployment of 5G networks?   

• Future roadmap toward widespread adoption of intelligent Edge. 
• The possibilities created by fast and local critical decision making. 
• Predictions for the next round of innovations within the space – where will Edge be by 2025? 

• Why is Edge Computing essential to computer vision operations? 
• Computer Vision on Edge Vs. Cloud 
• Edge Robotics – are we ready?  

• Reviewing Digital Twin Enablers – what is needed in your toolkit? 
• What are the opportunities and risks with these technologies? 
• Case Studies discussed.