Day 1 - 17 May 2023



Operational IoT: Chairpersons Welcome

Chairpersons welcome and opening remarks.



Panel: Staying on Track with Digital Twins

  • Current pitfalls hindering digital twins across industries.   
  • Providing unparalleled insights, are digital twins the best market product for reduced costs and risks? 
  • Understanding the digital transformation process for implementing digital twins.   
  • Incorporating other technologies like AI, ML and Blockchain for agile processes.  



Keynote Presentation: Developing Operations with Digital Twins

  • Knowing where to utilise digital twin technologies – when to implement and the steps for a successful result.
  • Simulation and digital twins – where does the accountability lie.
  • How to grow the implementation of digital twins across industries



Jens Fossen

Senior Director of Product Management


Associated Talks:

11:50AM - Day 2

View Panel: Breaking Barriers for New Services

11:10AM - Day 1

View Presentation: IoT Delivering on Sustainable Supply Chains

View Full Info

Presentation: IoT Delivering on Sustainable Supply Chains

  • Supply chains building resiliency through the IoT.
  • Responding to demand – the reboot of supply chains post-pandemic.
  • Combining IoT sensors and digital capabilities like blockchain and digital twins to enhance efficiency.
  • The next move to ‘sustainable’ supply chains.
. Jens Fossen, Senior Director of Product Management, Georgia-Pacific


Networking Break



Presentation: Building Up through Digital Twins

  • A use-case of digital twins aiding the construction space.
  • Considering the next steps for optimisation – input as well as output data, progressing from digital twins to digital prototypes?
  • The next phase for digital construction.



Presentation: Machine Learning for the Ultimate IIoT Infrastructure

  • Using ML to derive ‘relevant’ data.
  • A closer look at latency, robustness and reliability of the data being used for ML models.
  • Examples of ML in the manufacturing space.


Networking Break & Lunch



Presentation: Industry 5.0 – Resilience, Sustainability & Human Centricity

  • Improving business resilience through data led decisions.
  • A look at sustainable practices and having a future focus – the shift to a more sustainable and human-centric approach.
  • Human centricity – empowering the team and utilising digital services like connected work applications.



Presentation: A Step Ahead with Predictive Maintenance

The latest IoT innovations improving predictive maintenance capabilities including:

  • Increased asset efficiency
  • Prolonger asset life span
  • Reduced costs and downtime



Panel: The Next Frontier for Industrial Digitalization

  • Digitalising the factory floor – getting the digital transformation steps right to implement fully autonomous processes.
  • Optimizing lean processes through digital technologies.
  • Leveraging predictive analytics to stay ahead of potential errors or failures.
  • A sustainable focus on products and services – the advantages of a circular economy approach.


Networking Break



Diganta Adhikari

Global Head of On-farm IoT & Agronomic Data Platforms

Syngenta Group

Associated Talks:

12:00PM - Day 2

View Panel: A Holisitc Approach to the Connectivity Landscape

03:50PM - Day 1

View Presentation: Taking Action on IoT Data Analytics

View Full Info

Presentation: Taking Action on IoT Data Analytics

  • Looking at the limitations around data including sensitive data and capture limitations.
  • Transporting data from sensors securely, keeping in mind SSP (security, safety, privacy).
  • Optimizing and actioning insights for productivity benefits.
. Diganta Adhikari, Global Head of On-farm IoT & Agronomic Data Platforms, Syngenta Group



Presentation: From Legacy to Lean with Data

  • Working to collect ‘intelligent’ data and contextualising insights.
  • How to find the balance between standardisation and flexibility for quick response and optimisation



Presentation: AI and ML for Advanced Automation

  • AI and ML advancements to tackle errors in IoT.
  • Combining the capabilities of AI and IoT for risk predictions and rapid response.
  • Driving infrastructure resilience through AI and ML.



Presentation: Healthcare Industry Use-case

To follow soon …