Industrial Data Summit has an interactive format that enables in-depth peer-to-peer discussions around your key data challenges, providing real insight and value. The agenda includes a combination of plenary (keynotes, 5-minute idea, and a panel discussion) and our ‘deep-dive’ roundtable discussion breakout sessions, which are limited to 5 to 8 delegates in each session.

Plenary

Our Plenary sessions bring together all delegates in a single room – concentrating the event’s focus on to a series of high-profile content sessions. These content sessions include case studies delivered by our keynote speakers as well as expertly moderated panel debates.

Discussion Tables

Select the topics that matter most to you! Over the course of the Summit, three rounds of Discussion Sessions will take place. You will have the opportunity to choose between eight Discussion Tables for a 60-minute interactive Q&A, hosted by a world-class manufacturer and a technology expert. The selection of topics will cover Data Management and Data Insights.

Industrial Data Summit 2023
2023-04-26
Main Stage
Main Stage
09:30 - 09:35
Chair’s Welcome
09:35 - 09:50
Keynote: How to accelerate your journey to a data driven business?
09:50 - 10:05
Keynote: Implementing robust data protection strategies to better secure your data
10:05 - 10:15
Q&A with Keynote Speakers and Audience
10:15 - 11:15
Discussion Session: Data collection and integration

What data should you collect and how? 

10:15 - 11:15
Discussion Session: Developing a data strategy

Gaining business buy in, top-down or bottom-up, driving a data driven culture

10:15 - 11:15
Discussion Session: Data Governance

Ensuring that data is usable, accessible, and protected

10:15 - 11:15
Discussion Session: IoT and Sensors

Buy vs build and the challenge of connectivity

10:15 - 11:15
Discussion Session: IT/OT Convergence

Data is a critical component as it allows for the integration of systems and the ability to make informed decisions that improve efficiency and safety.

10:15 - 11:15
Discussion Session: AI and Machine Learning

Applications and best practice

10:15 - 11:15
Discussion Session: Data Collaboration

Data collaboration, robust analytics, treating data an as asset.

10:15 - 11:15
Discussion Session: Monetising your Data

Cost reduction, revenue growth, data sharing  

10:15 - 11:15
Discussion Session: Predictive & Advanced Analytics

Future outcomes for process optimization, supply chain and maintenance.   

10:15 - 11:15
Discussion Session: Digital Twins

Using Digital Twins to virtually monitor and manage assets performance and manufacturing operations.

10:15 - 11:15
Discussion Session: Data Cyber Security

Implementing robust data protection strategies to better secure you data and meet regulatory compliance requirements. 

10:15 - 11:15
Discussion Session: Leadership Skills

Whether you’re a data manager, analyst, or another kind of data leader, enabling the organisation to make the best possible use of assets is now crucial to business success. 

11:15 - 11:40
Coffee Break and networking
11:40 - 12:40
Discussion Sessions

Delegates choose from the same 12 topics for their third and final discussion session:

  • Data collection and integration 
  • Developing a data strategy  
  • Data Governance  
  • IoT and Sensors 
  • IT/OT Convergence 
  • AI and Machine Learning  
  • Data Collaboration 
  • Monetising your data  
  • Predictive & Advanced Analytics 
  • Digital Twins  
  • Data Cyber Security  
  • Leadership Skills     
12:40 - 12:45
5-Minute Idea Presentation: Scaling industrial data systems whilst being cost efficient.
12:45 - 12:50
Q&A with Speaker and Audience
12:50 - 13:35
Lunch Break and networking
13:35 - 14:05
Panel Discussion: Developing a data driven culture in your organisation
  • How to improve data transparency and organisation? 
  • What is best practice for standardising processes?  
  • How to Incentivise data-driven practices? 
14:05 - 15:05
Discussion Sessions

Delegates choose from the same 12 topics for their third and final discussion session:

  • Data collection and integration 
  • Developing a data strategy  
  • Data Governance  
  • IoT and Sensors 
  • IT/OT Convergence 
  • AI and Machine Learning  
  • Data Collaboration 
  • Monetising your data  
  • Predictive & Advanced Analytics 
  • Digital Twins  
  • Data Cyber Security  
  • Leadership Skills     
15:05 - 15:20
Discussion Session Key Takeaways
15:20 - 15:25
Delegate Feedback
15:25 - 15:30
Chair’s Closing Remarks
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