IoT Digital Infrastructures

Opening talk – overview of sessions and key highlights.

• How AI is leveraged for predictive maintenance and remote management to eliminate downtime of equipment on the farm and meet every field’s fullest yield potential.
• The combination of historic and real-time data to amplify in the moment decision making and enable communication across different machines in the field.
• The powerful combination of advanced connectivity, machine-to-machine communication, smart sensors and data analytics to predict needs of each seed or plant, enhancing efficiency and sustainability on the farm.

• 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.  
• Cloud analytics Vs Edge analytics – which allows for better data capture?   

• Mass data analysis – how to make the most of your insights and contextualise the data before it goes stale. 
• Making data interoperable to utilise insights across silos.   
• A global shift to remote management and more predictive and pro-active solutions – how IoT is the answer.  
• Comparing infrastructure approaches and data latency.
• Discussing ROI and ROV (return on value) – understanding the best approach and analysing a ‘future focus’. 

To follow soon ….

To follow soon …

• Evolving from Industry 4.0 and the shift to a more sustainable and human-centric approach.  
• Cultural change – enabling the human workforce and machines to work in tandem for the digital age. 
• It is imperative industries evolve to this new way of thinking and manufacturing, but where do you begin?  

To follow soon …

• How are IoT and wireless solutions enabling greater connectivity for enterprise infrastructures?
• As 5G allows for heightened connectivity and efficiency speeds, how is the adoption of this disrupting smart infrastructures?
• 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 and AI.
• IoT’s role in building sustainable infrastructures.

To follow soon ….

• What are the wireless technology trends enabling connected environments?  
• Advantages and disadvantages of using WLAN or cellular technologies for industrial production, including Private LTE & 5G solutions.   
• Where is your money best spent? Wired Vs wireless interface cost implication.  

• How interoperable are current network services?
• Standardisation – securing the full line of connectivity and where to start.
• Can intelligent-switching options be the solution for multiple location IoT deployments working in real-time? Is this where eSIM’s help create a holistic connection?
• Using AI, Edge and other disruptive technologies to optimise products and services.
• Looking at long-term strategies for deployments – knowing what connectivity you will need in the future and not just for the short-term.

To follow soon …

• How to manage bigger data. 
• How much faster is NMVe SSD?  
• Data Security.  
• Applications. 

• What eSIM offers that other solutions don’t – the interoperability capabilities.  
• Mass device connectivity through cellular networks.  
• Is a change in the telecom business models still needed for wider adoption of the technology? 

• Utilising edge and datacentre processing to dynamically set traffic signals.
• Optimizing traffic flow based on prioritization of the various modes.
• How this is a fundamentally different approach relying on the digital twin.
• San Francisco’s Transportation Agency use-case.

Click to view the agenda for: Day 2 Enterprise Transformation track 

Topics include: Digital Transformation | Digitisation | Cultural Change | Disruptive Technologies | Enterprise Sustainability | Smart Cities