AI & Real-Time IoT in Manufacturing



Reviewing data from thousands or millions of IoT sensors is beyond the capability of humans. Manufacturing is the largest and most advanced industry where AI is required in the deployment and operation of IoT applications. The addition of intelligence and processing on small devices at the edge raises additional challenges. This track features use cases from the manufacturing industry that sit between the intersection of AI and IOT.

Thursday, October 24

7:45 am Registration Opens

8:00 Continental Breakfast

9:00 - 12:25 pm Plenary Keynote Session

12:25 pm Networking, Coffee & Dessert in the Expo

BUSINESS VALUE OUTCOMES

1:30 Opening Remarks

Yeamans_LesLes Yeamans, Founder & Executive Editor, RTInsights


1:35 The Role of AI and IOT in Manufacturing: State of the Industry

Martin_RyanRyan Martin, Principal Analyst, ABI Research

The pressures of an uncertain economic background alongside increasing global competition, customization, smaller batch runs, shrinking labor pool and energy resources mean that manufacturers are increasingly looking to technology to ensure they can remain competitive in the future. This presentation will not only demystify the Industry 4.0 movement but give you a framework to identify your current place, and a path forward with respect to measuring success. In doing so, we will uncover the key trends and technologies to look out for as well as which to embrace and which to challenge. You will walk away with a clear understanding of not only the state of AI in manufacturing, but also the use cases and business drivers propelling the next wave of innovation.

2:05 Can Digital Twins Unleash the Potential of AI?

Raghavan_AjayAjay Raghavan, PhD, Strategic Execution Director, PARC, a Xerox Company

The reliability of manufacturing systems is critical to minimize expensive unplanned downtime and inefficiencies. PARC, a Xerox Company, is working to enable self-adaptive systems using AI with a strong foundation of physics-based digital twins. In this talk, Ajay Raghavan will discuss how PARC’s hybrid systems modeling approach is enabling manufacturing stakeholders to unleash the power of AI and the Industrial Internet for optimizing system productivity and enabling the transition to effective predictive condition-based maintenance.

2:35 BUSINESS PANEL: Assessing the Business Values of AI and IOT in the Manufacturing Industry

  • Where does AI and IOT fit in the journey of Digital Transformation?
  • How do you achieve a Digital Culture where AI use cases are encouraged and shared within the organization?
  • How do you know you have reached success in AI, IOT, and machine learning?
  • How do you determine the value of AI and machine learning in a manufacturing organization?
  • Examining the importance of data governance.
  • How to create a sustainable decision model: Once it has been built, how do you maintain it?

Moderator:
Yeamans_LesLes Yeamans, Founder & Executive Editor, RTInsights


Panelists


Paquin_ReidReid Paquin, Research Director, IDC


Martin_RyanRyan Martin, Principal Analyst, ABI Research


Eslami_ZachariahZachariah Eslami, Delivery Leader, Data and AI Expert Labs and Learning, IBM


Darktrace Executive


3:20 Networking Break in the Expo

OVERCOMING TECHNICAL CHALLENGES

4:05 Technical Based Use Cases from a Large Manufacturing Company

Joseph_RobertRobert Joseph, Director, Industry Strategy for Industry 4.0, Stanley Black & Decker

This talk will examine IoT Data Analytics projects in the manufacturing space. We will discuss what has been done, future work and lessons learned.


4:25 TECHNICAL PANEL DISCUSSION: Implementing AI and IOT at the Edge

  • Challenges faced with Industrial IoT in manufacturing and ways to overcome common obstacles
  • Similar to how “Moneyball” changed Major League Baseball, analytical approaches and edge devices are being used to improve manufacturing on the shop floor
  • Learn how Industrial IoT and data science allowed one manufacturing team to reinvent product and cast vision to improve global sustainability
  • Discuss differences between cloud, edge, and hybrid-cloud architecture, and learn how IoT benefits a hybrid-cloud approach

Moderator:
Joe McKendrick, Industry Insights Editor, RTInsights

Panelists:

Etris_JosephJoseph Etris, Engineering Project Manager, Data Analyst, Continental



Martin_RobertRobert Martin, Senior Principal Engineer, MITRE and Steering Committee Member, Industrial Internet Consortium (IIC)





John Auld, Digital Innovator, MindSphere, Industrial Internet of Things (IIoT), Siemens

 

5:05 Networking Reception in the Expo

6:30 Meetup Groups

7:30 Close of Day 2