Industrial Data Summit EMEA Online Agenda

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, short & snappy “Five-Minute Ideas”, 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 three Discussion Rooms, for a 40-minute interactive Q&A, hosted by a leading manufacturer and a technology expert. Each Discussion Room is dedicated to a specific, 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. Each Plenary session will be accompanied by Q&A from the audience, allowing you to ask follow-up questions.

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Please note all times are CET (Central Eastern Time)

2020-09-16

ExCeL, London

10:30

Log on and Chair’s welcome – please note all times are Central European (CET)

Gerard Bartley, Former Master Data Manager, Jacobs Douwe Egberts

10:40

Keynote: AI in Manufacturing

A true expert in AI & Data Science, Bala is currently in charge of architecting and strategising AI solutions across Stanley, Black & Decker’s businesses. Here, he will discuss the impact that AI can have in manufacturing, across various applications.

Bala Amavasai, Head of AI & Lead AI Architect, Stanley Black & Decker

10:55

5-Minute Idea: Use of gamification for data democratization – how do gamification elements facilitate more engagement and an increased amount of data?

Dr Tobias Christian Fischer is an expert in artificial intelligence and works at a leading OEM in the car manufacturing industry. Besides that, he works as a guest docent at the Baden-Wuerttemberg Cooperative State University (DHBW). There, he teaches Information and Digitalization with a focus on e-commerce, social media electronic marketplaces and digital transformation.

Dr Tobias Christian Fischer, Project Leader in AI & Big Data, Automotive Manufacturer

11:00

Q&A Session with Speakers

11:15

Break

11:30

Discussion Room Session: Data Collection Strategy

What data should you collect and how?

Emina Atlagic, Data and Tool Management, Pharmaceutical Company

Juan Villa, Systems Integration Manager, SEM Ltd

11:30

Discussion Room Session: Eliminating Data Silos

Unifying your data management to develop a more collaborative company culture.

Hunter Beck, Customer Success, Head of Manufacturing, Cognite

Brian Lyons, Global Capability Lead for Data Management & Data Integration, Boehringer Ingelheim

11:30

Discussion Room Session: Data Quality and Integrity

Validating the accuracy and consistency of stored data, accuracy, timelines

Fabio Wernle, Senior Master Data Manager, V-Zug AG

Gerard Bartley, Former Master Data Manager, Jacobs Douwe Egberts

12:15

Lunch

12:45

Discussion Room Session: Monetising Data

Practical strategies for turning data into tangible value, both internally and externally.

Andrew Wall, Head of Project Data Management, Airbus Defence & Space

12:45

Discussion Room Session: Data Governance

Data Governance is required to ensure that an organization’s information assets are formally, properly, proactively and efficiently managed throughout the enterprise to secure its trust & accountability.

Vishwanath Balekai, Associate Director – Process Excellence and Digital Transformation, Merck Life Science

Tobias Steiner, Master Data Manager, Eaton

12:45

Discussion Room Session: Data Integration

Bringing it all together in one single source of truth.

Sheila Elz, Master Data Manager, Bayer

Suresh Daniel, Data & Architecture Integration Director, Coats

13:30

 Break

13:45

Panel: Organisational Culture and Buy-In for Data Strategy

How important is organisational culture to deliver a data strategy?
Where do we start the organisational culture change?
What are the steps to embed a data-driven culture into the organisation?
Why do organisations fail to change their culture?
Data strategy is seen as a technical initiative as opposed to a business one, how do you get the business buy-in?
Should it be a top-down or bottom-up approach to build your data strategy?
How important is data strategy to be aligned to corporate objectives?
What should be the strategy to foster a data-driven organisational culture?

Panelists : Marc van Vliet, Senior Global Leader Data Analytics, Avery Dennison

Andrew Wall, Head of Project Data Management, Airbus Defence & Space

Suresh Daniel, Data & Architecture Integration Director, Coats

14:20

Buffer

14:30

Discussion Room Session: Business Intelligence

Best practice & using information for better decision making.

Georg von Zedtwitz-Liebenstein, Senior Data Scientist, Scania

Keith Roberts, Global Parts Operations Data and Reporting Manager, Jaguar Land Rover

14:30

Discussion Room Session: AI & Machine Learning

Applications of AI, best practice, and achieving true ROI.

Hassan Khalid, AI & Machine Learning Engineer, GlaxoSmithKline

Dr Tobias Christian Fischer, Project Leader in AI & Big Data, Automotive Manufacturer

14:30

Discussion Room Session: IOT and Sensors

Buy vs Build & the challenge of connectivity.

Alisdair Walton, Data, Cloud & Innovation Lead, Tata Steel Europe

15:15

Buffer

15:20

5-Minute Idea: Data Governance is about People, not IT!

Gerard is a recognised and accomplished data management professional, helping businesses unlock the value of their information. A firm believer in the principle that good data management is all about people rather than IT systems, Gerard’s proven approach focuses on delivering real change through stakeholder buy-in, organisational redesign, process improvement, and team development.

Gerard Bartley, Former Master Data Manager, Jacobs Douwe Egberts