Agenda 2020

Two weeks before the conference, all delegates are asked to submit questions to our discussion leaders in advance – enabling them to provide insight into the specific issues and challenges that the delegates are facing. Industrial Data Summit North America virtual 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.

Please note all times are ET (Eastern Time) North America

2020-09-30
2020-09-30
12:00
Log on and Chair’s welcome
Log on and Chair’s welcome image
Gerard Bartley, Former Global Master Data Manager, Jacobs Douwe Egberts
12:10
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.

Keynote: AI in Manufacturing image
Bala Amavasai, Head of AI & Lead AI Architect, Stanley Black & Decker
12:25
Q&A
12:35
Discussion Room Session: Data Collection and Integration Strategy

What data should you collect and how? Bringing it all together in one single source of truth.

Discussion Room Session: Data Collection and Integration Strategy image
Moe Saleh, Principal Data Scientist, Oshkosh Group
Discussion Room Session: Data Collection and Integration Strategy image
Karthik Neelamegam, Director, Tech Strategy & Enterprise Architecture, Florida Crystals
Discussion Room Session: Data Collection and Integration Strategy image
John Snelson, Senior Data Scientist, Lockheed Martin
Discussion Room Session: Data Collection and Integration Strategy image
Suresh Daniel, Data & Architecture Integration Director, Coats
13:20
Break
13:50
Discussion Room Session: Data Quality/Integrity and AI/Machine Learning

Validating the accuracy and consistency of stored data, accuracy, timelines plus Applications of AI, best practice, and achieving true ROI.

Discussion Room Session: Data Quality/Integrity and AI/Machine Learning image
Patrick Zeine, Data Management, Boeing
Discussion Room Session: Data Quality/Integrity and AI/Machine Learning image
Ronak Pansara, Senior Master Data Manager Analyst, Indigo
Discussion Room Session: Data Quality/Integrity and AI/Machine Learning image
Jorge Fernandes, Senior Data Scientist, Pratt & Witney
Discussion Room Session: Data Quality/Integrity and AI/Machine Learning image
Shrankhala Jain, Data Scientist, Ford Motor Company
14:35
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?
Panel: Organisational Culture and Buy-In for Data Strategy image
Panelists: Jason Raines, VP, Data & Digital Health Technologies, Apellis Pharmaceuticals
Panel: Organisational Culture and Buy-In for Data Strategy image
Gerard Bartley, Former Global Master Data Manager, Jacobs Douwe Egberts
Panel: Organisational Culture and Buy-In for Data Strategy image
Neil Hamlett, Senior Data Scientist, Vectrus
15:05
Break
15:25
Discussion Room Session: Business Intelligence and Data Governance

Best practice & using information for better decision making. 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.

Discussion Room Session: Business Intelligence and Data Governance image
Alexs Thomson, Director of Analytics Transformation, Hallmark Cards
Discussion Room Session: Business Intelligence and Data Governance image
Neil Hamlett, Senior Data Scientist, Vectrus
Discussion Room Session: Business Intelligence and Data Governance image
Gerard Bartley, Former Global Master Data Manager, Jacobs Douwe Egberts
16:05
Discussion Session Take Aways and Chair’s Closing Remarks
16:15
Summit Close
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