Agenda

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 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, 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 to 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 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.

Agenda

Click to expand each section below for more information

Good data depends on people knowing what they are supposed to do and then doing it – this is data governance. Here, Gerard will discuss how you can lay the groundwork for a successful data strategy using clarity & communication.

A welcome from our Chairperson.

Gerard Bartley, Global Master Data Manager,  Jacobs Douwe Egberts

Speaker:

Steve Pavlosky, Senior Product Manager – Data at the Edge, GE Digital

Steve is an Industrial Internet pioneer and a firm believer in the value and power of data and now leads GE Digital’s OT Data and Connectivity portfolio which includes GE Digital’s Historian and industrial device connectivity portfolio.  He is passionate about performance and reliability, secure and efficient collection and storage, contextualizing asset data, and distributing data to the users and applications which derive value from that data.

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.

Speaker:
Alison McGurk, Head of Architecture, Data and Intelligence, AstraZeneca

In this high-level talk, Alison will discuss some of the plans and opportunities to apply AI technology being explored by AstraZeneca as part of their smart factory strategy.

Take a quick break before we jump into our breakout discussion rooms!

Choose one of three discussion rooms to join!

Data Collection Strategy

What data should you collect and how?

Discussion Leaders:

Graham Townsend, Manager, Manufacturing Analytics, Hexcel

Steve Pavlosky, Senior Product Manager – Data at the Edge, GE Digital

Eliminating Data Silos

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

Discussion Leader:

David Todd, Global Head of Data, Meggitt

Data Quality and Integrity

Validating the accuracy and consistency of stored data and the completeness, accuracy, timeliness and consistent state of information managed in your data warehouse.

Discussion Leader:

Suresh Daniel, Data & Architecture Integration Director, Coats

Choose one of three discussion rooms to join!

IOT & Sensors

Buy vs Build & the challenge of connectivity.

Discussion Leaders:

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

Roberto Savage, Head of Security & Enterprise Networks, Axonex

Data Integration

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

  • Automation as a route to recovery
  • Supply chain automation
  • Extending the life of legacy assets
  • Getting useful information from data
  • Data protection and data sharing impacts on automation

Discussion Leaders:

Juan Villa, Systems Integration Manager, SEM 

Mike Morris, Sales Director, x-tention

Monetising Data

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

Discussion Leaders:

Sam Saunders, Data Strategy Manager, Dyson

Stuart Thomson, Digital Operations Director, GE Aviation

Quick break to refresh yourself & eat before jumping back into the action!

Brenden Rawle, Director of Interconnection, EMEA, Equinix 

Digital Transformation is a crucial topic within the manufacturing sector. In this keynote we will tackle this head-on and examine some of the challenges, opportunities and major technology in play. We will be discussing just some of these issues:

  • Common objectives and challenges for technology adoption in the manufacturing sector.
  • The importance of digital collaboration and creation of digital ecosystems.
  • Enabling digital services to continually adapt the supply chain, enable customisation and predictive capabilities.
  • The importance of a secure data-driven-process.
  • Optimising networks to improve distribution, reduce latency and increase capacity.

Gerard Bartley, Global Master Data Manager, Jacobs Douwe Egberts

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

Suresh Daniel, Data & Architecture Integration Director, Coats

Choose one of three discussion rooms to join!

Predictive Maintenance

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

  • What are the main challenges around IoT enabled maintenance? Difficult to capture ROI, mindset change – innovate and co-innovate, governance and data sharing/data monetisation.
  • What will emerging technologies – IoT, 5G, AI toolkits in the cloud – enable/accelerate? What are some of the challenges that these opportunities will bring to light? Velocity and Volume of Data.
  • How do we address that? Clarity of use cases with definite ROI & reference architectures for better control, security & accountability around Data aggregation & mgmt., Data augmentation & exchange. “Data has Gravity”.

Discussion Leader:

Alison McGurk, Head of Architecture, Data and Intelligence, AstraZeneca

Petrina Steele, VP EMEA – BD, Strategy & Innovation. Equinix

AI & Machine Learning

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

Discussion Leader:

Hassan Khalid, AI and Machine Learning Engineer, GSK

Bill Schmarzo, Chief Innovation Officer, Hitachi Vantara

Business Intelligence

Best practice & using information for better decision making.

Discussion Leader:

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

Good data depends on people knowing what they are supposed to do and then doing it – this is data governance. Here, Gerard will discuss how you can lay the groundwork for a successful data strategy using clarity & communication.

Conclusion & wrap-up from our Chairperson.

That’s all folks!