Agenda 2020

Two weeks before the conference, all delegates are asked to submit questions to our speakers in advance – enabling them to provide insight on the specific issues and examples the audience faces. Industrial Data Summit EMEA 2020 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, 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 experts. 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.

All session details:

10.30 Log on and Chair’s welcome

10:40 Keynote: Setting the Path from Goals to Enablement

11:00 Keynote: AI in Manufacturing

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

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.

11:20 5-Minute Idea: Use of gamification for data democratization - how do gamification elements facilitate more engagement and an increased amount of data?

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

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.

11.30  Break

11.40  Discussion Rooms Session 1

Please choose from the following options:

Data Collection Strategy

Data Collection Strategy

What data should you collect and how?

Eliminating Data Silos

Eliminating Data Silos

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

Data Quality and Integrity

Data Quality and Integrity

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

12.20 Buffer

12.25  Discussion Rooms Session 2 

Please choose from the following options:

IOT & Sensors

IOT & Sensors

Buy vs Build & the challenge of connectivity.

Data Integration

Data Integration

Data Integration – Bringing it all together in one single source of truth.

Monetising Data

Monetising Data

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

13.05  Lunch Break

13.35  Keynote: Practical strategies for turning data into tangible value, both internally and externally

13.55 Panel: Organisational Culture and Buy-In for Data Strategy

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

Marc van Vliet is the Senior Manager in Data Analytics for Avery Dennison and for the past 10 years has been driving the implementation of various analytical solutions across Manufacturing, Commercial and Finance, and transforming the wider organisation to embrace Self-Service, IoT and Predictive Analytics all within a B2B environment.

14.20 Buffer

14.25 Discussion Rooms Session 3 

Please choose from the following options:

Predictive Maintenance

Predictive Maintenance

Leveraging data and robust predictive and data analytics to anticipate any issues before they occur.

AI & Machine Learning

AI & Machine Learning

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

Business Intelligence

Business Intelligence

Best practice & using information for better decision making.

15.05 Buffer

15:10 5-Minute Idea: Data Governance is about People, not IT!

Speaker: Gerard Bartley, Former Master Data Manager, Jacobs Douwe Egberts 

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.

15.15 Q&A

15.20 Chair's summary and close 

15.30 Event close