2021 Agenda

Two weeks before the conference, all delegates are asked to submit questions to our speakers in advance – enabling them to provide insight into the specific issues they would like to discuss. Industrial Data Symposium Online mirrors the format of our established and successful face-to-face conference, featuring a combination of Plenary and Discussion Room sessions.

Plenary

Our Plenary sessions bring together all attendees in a single virtual room – concentrating the event’s focus on a series of high-profile content sessions. These content sessions include presentations from our keynote speakers, as well as expertly moderated panel discussions.

Each Plenary session will be accompanied by Q&A from the audience, allowing you to ask follow-up questions.

Discussion Rooms

Periodically during the conference, the audience will split into four Discussion Rooms, for a 60-minute interactive Q&A, hosted by a leading manufacturer and a technology expert. Each Discussion Room is dedicated to a specific topic, and you can choose the ones that are most relevant to you.

In each session, you’ll hear insights from both of your co-hosts before an extended, moderated Q&A using questions submitted in advance, and live on the day.

Industrial Data Symposium 2021
09:30
Chair’s Welcome

A welcome from our Chairperson.

Chair’s Welcome image
Gerard Bartley
Global Master Data Projects, BMI Group
09:35
Keynote: Data Governance Tips or a Federated IT Landscape

One of the key factors you need to take into account when setting up Data Governance is the IT landscape of the company. Heineken is a multinational FMCG company with 45 ERPs (SAP, JDE, Navision), each surrounded by ~15 satellite systems; Heineken has 80 OpCo’s, SSC, and Global HO. It can be quite challenging to set up Governance across such federated IT landscape, so I have prepared tips and ideas that I have seen and used in my own experience.

I will cover the following topics:

  • Why was Data Governance needed (you might suspect it already),
  • Data Governance Organization design, R&R,
  • What documents and processes were necessary to make it work.

It was definitely an adventurous journey; we keep on learning and searching for improvements as we go. Join me in this session and perhaps you’ll find some inspiration on how to address your own “spaghetti”, as we jokingly say. Every joke has a bit of truth in it though; in fact, it is not that fun at all when there is a lack of Data Governance in your organization. I’m happy to see that there is more of us out there who want to change that, so let’s learn from each other. Sharing is caring, they say!

Keynote: Data Governance Tips or a Federated IT Landscape image
Ieva Langenfelde
Data Governance Manager , Heineken
09:50
Q&A with Keynote Speaker
Q&A with Keynote Speaker image
Ieva Langenfelde
Data Governance Manager , Heineken
09:55
Panel Discussion: How can manufacturers benefit from advanced data analytics?

Advanced Data Analytics give manufacturers insight by identifying patterns, measuring impact and predicting outcomes. The ability to analyse equipment failures, production bottlenecks, supply chain deficiencies and enable better decision-making.

  • How are manufacturers using advanced analytics to improve processes?
  • What are the best ways of using raw data to create predictive data models?
  • Which data analytics tools should I be using to gain insight into my data?

 

Panel Discussion: How can manufacturers benefit from advanced data analytics? image
Zhao Geng
Business Intelligence Analytics Lead , GSK
Panel Discussion: How can manufacturers benefit from advanced data analytics? image
Marco Dussi
Data Analytics & Target Steering Manager , BMW (UK) Manufacturing
Panel Discussion: How can manufacturers benefit from advanced data analytics? image
Mark Williams Hutchins
Data and Analytics Manager , Molson Coors
10:15
Buffer
10:20
Discussion Room: How can data support a Sustainable Supply Chain?

Looking at the complexities of integrating the environmental and financial aspects of a complete supply chain lifecycle, from manufacturing, packaging, warehouse distribution and consumption. How can an organization assess its environmental footprint whilst optimizing the end-to-end operations whilst managing outgoings and profitability?

  • Environment impact
  • Goal 13 – Climate Action
  • Connecting data to deliver climate change
  • Delivering outcomes
Discussion Room: How can data support a Sustainable Supply Chain? image
Chris Herzog
Senior Data Scientist, Mars
Discussion Room: How can data support a Sustainable Supply Chain? image
Mike Kiersey
Principal Technologist and EMEA CTO, Dell Boomi
10:20
Discussion Room: Connected assets, IoT has a lot of promises, what’s the reality?
  • Empower your decision making with the right asset intelligence, where do you start?
  • Share use cases, goal setting, scope and plan. A solid roadmap is an essential part of any IoT project.
  • Hear real-life examples from subject matter experts supporting manufacturers on the ground.
When you interact with IBM, this serves as your authorisation to The Manufacturer to provide your contact information to IBM in order for IBM to follow up on your interaction. IBM’s use of your contact information is governed by the IBM Privacy Policy.
Discussion Room: Connected assets, IoT has a lot of promises, what’s the reality? image
Sam Saunders
Head of Data Strategy & Product Management, Dyson
Discussion Room: Connected assets, IoT has a lot of promises, what’s the reality? image
Russ McKay
IBM Executive IT Specialist and Solution Architect, AI Applications, Europe, IBM
10:20
Discussion Room: Data Collection and Data Integration
  • Data collection and integration, the what, when, how, and why (and how much does it cost)?
  • Is a data warehouse still a viable, cost effective approach?
Discussion Room: Data Collection and Data Integration image
Sheila Elz
Master Data Manager , Bayer
Discussion Room: Data Collection and Data Integration image
Jonathan Scott
European Director for Data Science and Cloud Solutions, Hitachi Solutions
10:20
Discussion Room: Data Driven Intelligent Industry
  • Data collaboration – overcoming the barriers
  • Robust AI-enabled analytics to take advantage of data and optimise operations across the value chain
  • Treating data as an asset and building trust as a foundation for a growth
Discussion Room: Data Driven Intelligent Industry image
Mark Williams Hutchins
Data and Analytics Manager , Molson Coors
Discussion Room: Data Driven Intelligent Industry image
Mike Dwyer
Director - Digital Engineering - Operations Transformation, Capgemini
Discussion Room: Data Driven Intelligent Industry image
Denton Clutterbuck
Division Director, Digital Engineering & Manufacturing Services, Capgemini
11:20
Break
11:30
Panel Discussion: Utilising AI – powered analytics to improve efficiency and product quality
  • How should companies go about building an investment case for AI powered analytics?
  • What best practice behaviours should be adopted to successfully deploy AI/ML in this context?
  • What new business models are now possible because of AI/ML powered product quality and efficiency
  • improvements?
  • How can companies take advantage of AI/ML to become more efficient?
  • What use cases of AI do you see being the most impactful?
Panel Discussion: Utilising AI – powered analytics to improve efficiency and product quality image
Simone Babb
AI & Machine Learning Commercial Product Lead, Digital Catapult
Panel Discussion: Utilising AI – powered analytics to improve efficiency and product quality image
Bala Amavasai
Lead AI Architect & Head of AI, Stanley, Black & Decker
11:55
Buffer
12:00
Discussion Room: Connected assets, IoT has a lot of promises, what’s the reality?
  • Empower your decision making with the right asset intelligence, where do you start?
  • Share use cases, goal setting, scope and plan. A solid roadmap is an essential part of any IoT project.
  • Hear real-life examples from subject matter experts supporting manufacturers on the ground.
When you interact with IBM, this serves as your authorisation to The Manufacturer to provide your contact information to IBM in order for IBM to follow up on your interaction. IBM’s use of your contact information is governed by the IBM Privacy Policy.
Discussion Room: Connected assets, IoT has a lot of promises, what’s the reality? image
Sam Saunders
Head of Data Strategy & Product Management, Dyson
Discussion Room: Connected assets, IoT has a lot of promises, what’s the reality? image
Russ McKay
IBM Executive IT Specialist and Solution Architect, AI Applications, Europe, IBM
12:00
Discussion Room: How can data support a Sustainable Supply Chain?

Looking at the complexities of integrating the environmental and financial aspects of a complete supply chain lifecycle, from manufacturing, packaging, warehouse distribution and consumption. How can an organization assess its environmental footprint whilst optimizing the end-to-end operations whilst managing outgoings and profitability?

  • Environment impact
  • Goal 13 – Climate Action
  • Connecting data to deliver climate change
  • Delivering outcomes
Discussion Room: How can data support a Sustainable Supply Chain? image
Chris Herzog
Senior Data Scientist, Mars
Discussion Room: How can data support a Sustainable Supply Chain? image
Mike Kiersey
Principal Technologist and EMEA CTO, Dell Boomi
12:00
Discussion Room: Data Collection and Data Integration
  • Data collection and integration, the what, when, how, and why (and how much does it cost)?
  • Is a data warehouse still a viable, cost effective approach?
Discussion Room: Data Collection and Data Integration image
Sheila Elz
Master Data Manager , Bayer
Discussion Room: Data Collection and Data Integration image
Jonathan Scott
European Director for Data Science and Cloud Solutions, Hitachi Solutions
12:00
Discussion Room: Data Driven Intelligent Industry
  • Data collaboration – overcoming the barriers
  • Robust AI-enabled analytics to take advantage of data and optimise operations across the value chain
  • Treating data as an asset and building trust as a foundation for a growth
Discussion Room: Data Driven Intelligent Industry image
Mark Williams Hutchins
Data and Analytics Manager , Molson Coors
Discussion Room: Data Driven Intelligent Industry image
Mike Dwyer
Director - Digital Engineering - Operations Transformation, Capgemini
Discussion Room: Data Driven Intelligent Industry image
Denton Clutterbuck
Division Director, Digital Engineering & Manufacturing Services, Capgemini
13:00
Break
13:15
Keynote Presentation: Drive Innovation by Turning Data into Insights

The data within organizations is growing faster than ever before, and massive investments are being made to store and manage this data effectively. However, turning data into actionable insights is one of the greatest challenges companies face today. Why? It’s often siloed and largely unstructured, making it difficult for employees to find what they need quickly and easily. Learn how leading organizations are connecting the dots across their information systems to boost productivity, minimize costs, and accelerate innovation.

Keynote Presentation: Drive Innovation by Turning Data into Insights image
Alana Cento
Senior Product Marketing Manager, Sinequa
13:30
Keynote: Mayflower Autonomous Ship – Paving the way for Ocean Exploration

Andy Stanford-Clark, Chief Technology Officer for IBM UK and Ireland, will describe the technology behind the Mayflower Autonomous Ship (MAS400.com), an un-crewed research ship designed to gather data about the ocean, particularly on the impacts of climate change and our pollution of the ocean on marine wildlife.

 

Andy’s keynote will cover:

  • The AI Captain that controls it, focusing on the technology being used and its importance to the Industrial Sector.
  • The scientific experiments that will be on board when MAS sets out imminently on a journey from Plymouth UK to Plymouth Massachusetts, commemorating the 400th anniversary of the original Mayflower crossing.

Join us for 15 minutes that will intrigue and excite you, followed by a five minute Q&A with Andy.

When you interact with IBM, this serves as your authorisation to The Manufacturer to provide your contact information to IBM in order for IBM to follow up on your interaction. IBM’s use of your contact information is governed by the IBM Privacy Policy.
Keynote: Mayflower Autonomous Ship – Paving the way for Ocean Exploration image
Andy Stanford-Clark
Chief Technology Officer for IBM UK and Ireland
13:45
Q&A with Keynote Speakers
14:00 - 14:10
Chair’s Summary & Event Close
Chair’s Summary & Event Close image
Gerard Bartley
Global Master Data Projects, BMI Group
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