Wed, Dec 7 – Agenda


Thu, Dec 8 – Agenda

Wed, Dec 7
7:45 AM – 8:00 AM ET

Opening Comments

Opening Comments



Lucian FogorosCo-Founder

WATCH ON DEMAND

Wed, Dec 7
8:00 AM – 9:00 AM ET

Digital Transformation trends for Manufacturing & Supply Chain

Sponsored by HiveMQ and NCC Group Software Resilience

In this session you will learn about:
– The case for a 200Bn+ opportunity, how the supply chain software market is booming
– Overarching market trends in the digital supply chain market
– Success stories of digitization in manufacturing & supply chain industries



Ravi SubramanyanDirector of Industry Solutions Manufacturing


John BoruvkaVice President, NCC Group Software Resilience


Matthieu KulezakMarket Research Analyst


Ira SharpCo-Founder

WATCH ON DEMAND

Wed, Dec 7
9:00 AM – 10:00 AM ET

The Opportunities of Digital Transformation for Manufacturing & Supply Chain

Sponsored by GE Digital

Enhanced data collection, more robust resource management, Data-driven customer insights, a better customer experience, increased profits, increased agility, and improved productivity – these are just a few opportunities that digital transformation has to offer for Manufacturing & Supply Chain. Find out how industrial companies leverage digital transformation to their benefit and where you could start.



Stephen PavloskyVP, Product Management


Devin SumaoangDirector of Supply Chain Transformation


Jamshed DubashStrategy Advisor


Marcelo MendoncaStaff Engineer, Data Analytics – Manufacturing 4.0


Mike YostCo-Founder & CMO

WATCH ON DEMAND

Wed, Dec 7
10:00 AM – 11:00 AM ET

Industrial IoT architecture: how to tap into its full potential

Sponsored by MSA Safety and Eurotech

A solid framework for the Industrial Internet of Things is at the heart of a long-term, robust environment for IoT project development in industrial settings. The process implies much more than having multiple industrial IoT devices connected to the internet. A robust infrastructure is a decisive constituent of that process.
Some of the topics covered during this session:

This session explores common connectivity patterns for industrial solutions.



Richard TheronProduct Manager


Donald SteedDirector of Software Product Management


Paul HepperlaVice President, Digital Office


Christine FrankOwner & President

WATCH ON DEMAND

Wed, Dec 7
11:00 AM – 12:00 PM ET

The Data Factory: Put the data to work.

Sponsored by Hitachi Vantara

Industrial organizations are generating more data than ever before and looking to institute AI and Analytic applications to transform their organizations and give them a competitive advantage, to control costs and optimize operations. Because DataOps is a new concept to industrial, there is a chasm in understanding between IT and OT teams that must be bridged to fully realize sustainable digital transformation for an industrial business.

As an Operations Leader, you understand the value of automation and operations management systems, but may struggle in the IT concepts and terminology that are more well known in commercial businesses such as banking, ad-tech, and insurance. You do, however, appreciate how a factory works and how well-designed production processes execute. Industrial DataOps is a lot like a factory production line in the way it automates, upgrades, improves, and assembles another valuable raw material which is, of course, data. In this session, we will explain Industrial DataOps in the context of the way a manufacturing plant is optimized. This will help to bridge the divide between the plant manager and the central IT manager, allowing the  understanding these techniques of professional data management to drive sustainable digital transformation.



Rich NaglePrincipal Solution Architect


Steven GarbrechtDirector, Industrial DataOps and IoT Platform Product Marketing


Scott MacKenzieKeynote Speaker

WATCH ON DEMAND

Wed, Dec 7
12:00 PM – 1:00 PM ET

Applying AI to manufacturing

Sponsored by Intel

According to a BCG report, the manufacturing industry’s most important AI use cases focus on Intelligent, self-optimizing machines that automate production processes. AI helps manufacturers to forecast efficiency losses for better planning or detect quality defects to facilitate predictive maintenance & much more. Join this panel to hear directly from end-users about how AI works for their manufacturing companies.



Rita H. Wouhaybi, Ph.D.Senior AI Principal Engineer


Jeff WinterIndustry Executive, Manufacturing


Antonio HillHead of Digital Manufacturing


Tim LinsenmeyerCTO

WATCH ON DEMAND

Wed, Dec 7
1:00 PM – 2:00 PM ET

Cognitive planning and AI-driven predictive analytics for supply chain in manufacturing

Sponsored by IIoT-Oxys

Topics to be covered:



Clifford EmmonsCEO


John MurrayDirector, North America


Martin DavisCIO/Managing Partner


Chris LueckePodcast Host & Founder

WATCH ON DEMAND

Wed, Dec 7
2:00 PM – 3:00 PM ET

Securing the Convergence of the Manufacturing Internet of Things

Sponsored by Fortinet

Most industrial control systems lack security by design. OT environments are especially difficult to defend against cyberattacks due to the vulnerability and fragility of systems in place, and the common use of implicit trust models. Mix in the increased connectivity between industrial and corporate networks and the remote access requirements for employees and third-party suppliers, and you have changed risk equation. Listen in as our panel addresses the cybersecurity essentials for the people, process and technology behind the movement toward Industry 5.0.



Chris BlauveltDirector, Operational Technology and Critical Infrastructure


Dwayne EdwardsSecurity Sales Engineer OT


Steve MustardPast President


William NotoDirector of Product Marketing – Operational Technology

WATCH ON DEMAND

Wed, Dec 7
3:00 PM – 4:00 PM ET

Mitigate your ICS, IIoT, and Software Supply Chain Cybersecurity Risks

Sponsored by aDolus and Xona



Eric ByresCTO and Board Member


Bill MooreCEO


Eric ErvinDirector of Industrial Cybersecurity – Utilities & Manufacturing


Hamish MackenzieCo-Founder

WATCH ON DEMAND