Industrial Data Summit has an interactive format that enables in-depth peer-to-peer discussions around your key business challenges, providing real insight and value. This includes a combination of plenary (keynotes, 5-minute idea, and a panel discussion) and our ‘deep-dive’ 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 50-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.

09:30 - 09:40

Chair's Welcome

Gerard Bartley

Gerard Bartley

Data Project Lead
OCI Chemical
09:40 - 09:55

Keynote – Lessons from Formula 1: How data management and analytics can drive performance

While manufacturers are looking into how best to deploy big data to boost their production efficiency, Formula 1 has been quick to adopt data management and analysis to enable them to make critical decisions during a race that will affect the performance of the car. This presentation will be looking at how a data-fuelled F1 mindset can be used to improve a manufacturing business.

Harry Minns

Harry Minns

Systems and Data Controller
Williams Racing
09:55 - 10:10

Keynote – Data-centric Manufacturing

The data opportunities in any manufacturing process are vast, ranging from the top-level performance indicators for a complete process or plant, through to in-depth analysis of the tool-workpiece interface. This presentation will illustrate what these opportunities are and why the data should be of interest to manufacturers. Some of the challenges of moving to a data-centric approach will also be discussed and examples given of the various levels at which we can focus on the data.

Jon Stammers

Jon Stammers

Theme Lead for Connectivity and AI
AMRC
10:20 - 11:10

Discussion Session: Data Collection & Data Integration  

Though it’s accepted that data is the foundation of a modern manufacturing environment, there’s a dizzying mix of tools and methods available to gather it, store it, and present it. This presents its own challenges as manufacturers often create overlapping/competing investments based on different stakeholders’ needs, and the expertise of the technical enablement teams they rely on. We hope this discussion will put a spotlight on practices that every manufacturer can use when building their strategy – from understanding the complete mix of “users” for different data, to the characteristics of data platforms and tools that can make serving that broad group easier.

Suresh Daniel

Suresh Daniel

Data & Architecture Integration Director
Coats
Sean Robinson

Sean Robinson

Service Leader
Novotek UK
10:20 - 11:10

Discussion Session: Developing a Data Strategy

As manufacturing becomes more digitised, factory networks and industrial data will become more externally connected, increasing their exposure to both opportunity and risk. This has been a common trade-off for business systems for years, but how many manufacturing operations are fully aware of the implications for their Operational Technology (OT)?

For example:

  • Have they fully considered the cyber-threats, intellectual property protection and digital asset management?
  • Have they developed robust data strategies for their industrial data and automation & operational networks?
  • Are they closely working with their core business IT functions and using their experience?
  • Are they clear on who has responsibility for such data?

This discussion group aims to share experiences between industrial managers who create, use and manage industrial data, to discover who has an industrial data strategy, how they developed it and what it means in practice, buy-in, top-down or bottom-up, driving a data-driven culture.

Ondrej Polak

Ondrej Polak

Process Development Manager
LISI Aerospace
John Bound

John Bound

Head of Marketing
RS Industria
10:20 - 11:10

Discussion Session: Product and Asset Information Governance

The sharp shift toward digital has been dictated by customers and circumstantial demands.  As much as this has opened up opportunities to grow, manufacturers face new challenges.  Not governing and managing data correctly can impact revenue streams and create risk.

  • What are your key challenges and pain points when trying to manage Product Information?
  • How can we improve and tackle those pains?
  • What are the true costs in not getting data governance right?

Robert Clifford

Robert Clifford

Head of Data - Maritime and Land
BAE Systems
Aaron Machej

Aaron Machej

Regional Lead
Sales Layer
10:20 - 11:10

Discussion Session: Data Collaboration 

“Data Collaboration” is the ability to enhance the “business data partnership” with internal business units, external suppliers and providers and 3rd party data sources. This “partnership” sole purpose is to be the value multiplier through data insights, developing a pipeline of new opportunities for growth, making smarter decisions and learning from each other.

  • Where are you on your data collaboration strategy?
  • What are the risks or inhibitors that are preventing you from effectively delivering a data collaboration strategy?
  • What benefits or insight have you achieved or are looking to achieve through data collaboration?

Marla Nelson

Marla Nelson

Head of Data Driven Transformation & Culture
Jaguar Land Rover
Mike Kiersey

Mike Kiersey

EMEA CTO
Boomi
10:20 - 11:10

Discussion Session: Advanced & Predictive Analytics   

Solving the most perennial business problems requires companies to evolve their approach to Data and Analytics. Underpinned by a strong data-driven culture, Predictive and Prescriptive Analytics challenge traditional paradigms and enable business leaders to make quicker more informed decisions, breaking down traditional functional and process silos, to unlock new levels of performance.

Our roundtable discussion promotes a better understanding of key ingredients and approaches required to evolve the Data and Analytics manufacturing agenda from Reporting and BI towards Decision Support technology underpinned by prediction, prescription and cognitive automation.

  • Data insights into business actions, the Data Science magic dust.
  • Different flavours of analytics, matching expertise with the business problem.
  • Platform Thinking, avoid pilot paralysis and disparate solutions.
  • Leveraging a curated set of external partners.

Mircea Oprisan

Mircea Oprisan

Director Advanced Analytics
Mars
Tim Fisher

Tim Fisher

Global Head of Enterprise Architecture
Kagool
10:20 - 11:10

Discussion Session: AI and Machine Learning

Got your eye on AI? At this point, you’d be crazy not to. But looking is easier than doing. Effective AI requires massive amounts of seamlessly flowing data—and that’s a tough ask.

For manufacturers, AI investment is integral to the creation of smart factories and preparing for Industry 4.0. But not everyone is getting out what they put in. Why is that? And how can you avoid the same fate?

We’ll be discussing best practice for data management and infrastructure, and how together they are vital to optimally train AI and build algorithms that will help you to:

  • Activate predictive maintenance: Identify anomalies earlier, optimise maintenance, and minimise downtime with more sophisticated trend analytics.
  • Empower product QC: Faster, more accurate product inspection to the highest degree of detail without bias or oversight.
  • Better supply chain management: Integrate materials inventory, production line output, vendor management, and financials—and maximise responsiveness.

Stephen Messham

Stephen Messham

Supply Chain Analytics and Insights Manager
GSK
Russ Sagert

Russ Sagert

Business Development Manager – Industrial Manufacturing
NetApp
10:20 - 11:10

Discussion Session: Monetising your Data

Leaders in manufacturing companies are under pressure to deliver for their organisations. They’re trying to identify risks in complex supply chains that extend well beyond their company’s own boundaries while achieving profitability.

  • What can leaders do?
  • Is it possible to have a fuller picture to help you make critical decisions?
  • Can you reduce risk and cost and at the same time drive innovation?

Absolutely you can. Our experience with manufacturing companies has proven that leveraging the right data can enable you to drive transparency to customers and your Supply Chain, making you a better business partner and increasing your ability to deliver on time in full.

Sam Saunders

Sam Saunders

Head of Data Strategy and Data Product Management
Dyson
Sam Needs

Sam Needs

Aerospace & Defence Lead
Tableau
Adam Limrick

Adam Limrick

Automotive Sector Lead
Tableau
10:20 - 11:10

Discussion Session: Data Driven Decisions for a Sustainable Future

How is your business utilising data to drive profitability whilst achieving critical sustainability goals for a brighter future? Today every decision your business makes has an impact, because of this we believe that every decision matters. Macroeconomic factors have changed how supply chains adapt making it very difficult to predict the future with any kind of certainty. Having the ability to react quickly by putting data at the heart of your decisions, whilst reducing your carbon footprint, is key to driving a sustainable future.

  • Monitoring and measuring your carbon controls across your business. How are you achieving this today and what’s your biggest challenge in becoming carbon neutral?
  • What are your major challenges in producing an accurate forecast/demand plan? Have you considered using Decision Intelligence to increase your mastery of predicting the future?
  • How are you optimising your downstream supply chain activities to reduce your carbon footprint – Major challenges optimising inventory, warehousing, route optimisation and logistics?

Bryan Difford

Bryan Difford

Commercial Manager Manufacturing
Peak
11:30 - 12:20

Discussion Sessions

Delegates choose from the same 8 topics for their second discussion session:

  • Data Collection & Data Integration
  • Developing a Data Strategy
  • Product and Asset Information Governance
  • Data Collaboration
  • Advanced & Predictive Analytics
  • AI and Machine Learning
  • Monetising your Data
  • Data Driven Decisions for a Sustainable Future

12:20 - 12:25

5 Minute Idea – Digital Transformation: Leading With Performance

A lot of leading businesses fall into the trap of being drawn toward the new shiny technology that everyone talks about. Digital teams want to roll up their sleeves and get stuck into the data without fully understanding the full context. It is critical we understand what the performance challenge is first before we even think about the data and technologies we can leverage. Let’s follow together the key steps/approach I believe Digital Leaders should follow when setting up a new digital capability.

Mircea Oprisan

Mircea Oprisan

Director Advanced Analytics
Mars
12:40 - 13:30

Networking Lunch

13:30 - 14:00

Panel Debate – Organisational Culture & Buy-In for Data Strategy

  • How does the “real” culture of the organisation impact the organisation and delivery of data strategy?
  • What are examples of different organisational cultures and how do these cultures impact on a data strategy? Any particular pitfalls?
  • Where do you start a data strategy programme? Top down or bottom up?  What are the pros and cons of each approach?
  • Sponsorship is always good to have for any project. Who are your best sponsors plus most important stakeholders for the project?
  • What are the dos and don’ts of your business case/pitch to get the buy-in?

Marla Nelson

Marla Nelson

Head of Data Driven Transformation & Culture
Jaguar Land Rover
Alexandra Chaigne

Alexandra Chaigne

Regional Master Data Manager
Becketts Foods
Suresh Daniel

Suresh Daniel

Data & Architecture Integration Director
Coats
Ondrej Polak

Ondrej Polak

Process Development Manager
LISI Aerospace
14:10 - 15:00

Discussion Sessions

Delegates choose from the same 8 topics for their third and final discussion session:

  • Data Collection & Data Integration
  • Developing a Data Strategy
  • Product and Asset Information Governance
  • Data Collaboration
  • Advanced & Predictive Analytics
  • AI and Machine Learning
  • Monetising your Data
  • Data Driven Decisions for a Sustainable Future

15:15 - 15:20

Chair’s Closing Remarks

Gerard Bartley

Gerard Bartley

Data Project Lead
OCI Chemical