Reviewing data from thousands or millions of IoT sensors in real-time is beyond the capability of humans. Smart buildings, energy markets, and factories are all examples where AI is required in the deployment and operation of IoT applications.
The addition of intelligence and processing on small devices at the network edge also raises questions about IoT security.
This track which is hosted by OMG and the Industrial Internet Consortium features state of the practice and state of
technology projects underway by the members of these associations that sit between the intersection of AI and real time IOT.
Tuesday, December 4, 2018
7:45 am Registration Open
8:20 am - 12:00 pm AI World Plenary Session - View Details
11:00 am - 2:00 pm Concession Stand Open for Lunch in the Exhibit Hall
Track Chairperson
Said Tabet, Lead Technologist for IoT Strategy and OMG Board Member, DellEMC
1:15 The State of AI and IoT
Said Tabet, Lead Technologist for IoT Strategy and OMG Board Member, DellEMC
1:45 PANEL: Deep Learning for Smart Facilities
Managing and servicing a facility – whether it be a building, a campus, or a seaport – is a complex endeavor with many entities having interest in access to data. It is simply too much for a human or a human-based department to manage and
communicate data about everything occurring in a secure and effective manner. This is where IIoT, intelligent systems, and automation come into play. Our panel of experts discusses how to approach a facility-based deployment.
Moderator:
Les Yeamans, Founder & Executive Editor, RTInsights
Panelists:
Brad Klenz, Principal Systems Architect, SAS
Calvin Smith, Director & Head of IoT Partner Engineering, Wipro
Ken Hatano, Chief Specialist of Software & AI Technology Center, Toshiba Digital Solutions Corporation
2:25 PANEL: Provisioning Enterprise Connected Things with Trust and Intelligent Automation
With billions of connected things deployed around the world, how do manufacturers, service providers, and enterprise end-users create a secure and reliable environment for distributing data? Unlike mobile devices issued to employees, IoT devices have
no local user interface for configuration or management. The need arises for frequent remote software updates and transparent data access on a large scale. This panel explores the need to securely and wirelessly distribute data within an enterprise
IoT deployment.
Moderator:
Wael William Diab, Steering Committee, Industrial Internet Consortium;
Huawei
Panelists:
Robert Martin, Senior Principal Engineer, MITRE
Michael Thomas, Systems Architect, SAS
Nisarg Desai, Director of Product Management, GlobalSign
3:00 Refreshment Break in the Exhibit Hall with Poster Viewing
3:45 PANEL: Transforming the Manufacturing Industry
The industrial manufacturing industry is ripe for automation. Production processes can be optimized by deploying distributed AI and industrial apps strategically at multiple levels of the manufacturing environment. Priority areas to apply AI and analytics
include production quality, cost, and efficiency problems in the manufacturing environment.
- Using automation for manufacturing defect identification and resolution
- Benefits to the enterprise of implementing predictive maintenance
- Identifying the optimal distribution of AI and analytics in a manufacturing setting from the cloud to the edge
Moderator:
Ed Burns, Editor, TechTarget
Panelists:
Shi-Wan Lin, CEO & Co-Founder, Thingswise
Edy Liongosari, Chief Research Scientist, Accenture
4:25 FIRESIDE CHAT: AI as Strategic Enabler for the Automotive Sector
Moderator:
Richard
Soley, PhD, Chairman and CEO, Object Management Group (OMG) and Industrial Internet Consortium
Panelists:
John Roese, CTO, Dell Technologies
James Kuffner, CEO, Toyota Research Institute Advanced Development (TRI-AD)
5:10 - 5:30 Plenary Keynote Presentation - View Details
5:30 - 6:30 Networking Reception in the Exhibit Hall with Poster Viewing