Leveraging Industrial DataOps for AI and IIoT Scalability

Virtual Conference sponsored by Hitachi Vantara

May 3, 2022

11:00 AM (ET)

About the Event:

This virtual event provides an in-depth overview on how organizations are using Industrial DataOps to unify data, govern it, and deliver scalable AI/ML solutions for a seamless data management and operations optimization experience.  During this 60 min roundtable, ARC Advisory Group, Hitachi Vantara and proSkale will give perspectives on the industry, available tools and project implementation approaches to help build your industrial data fabric and deliver key business outcomes.

Learn how you can put data at the heart of decision-making with new industrial data management solutions.

Key Topics Covered

  • Bumps in the Road to Integrating IIoT and Leveraging AI & how Industrial DataOps Provides a Smooth Onramp
  • Accelerate the Training of AI Models
  • Scaling Up to Meet Business Objectives
  • Lessons learned from industrial enterprises moving their IIoT-driven AI applications out of the endless pilot phase and more quickly develop and scale for enterprise-wide deployment


David Humphrey

David is a member of the analyst team at ARC Europe and is based in Munich, Germany. In addition, he is a member of ARC’s hybrid manufacturing, packaging, and industrial networking teams. David has over 25 years of experience in industrial automation,

Manish Jain

Experienced leader with demonstrated success in product management, developing product solutions, driving global business development and partnerships for enterprise software business. 20+ Years Product Management, Strategy, Business Development,

Steve Garbrecht

Value added and thoughtful leader focused on helping IT managers to understand the world of operations technology and OT managers to understand the new capabilities that IT brings to the world of IoT. It is my belief that by helping the two teams to work together, we can accomplish great things and transform the industry.

Gordon MacMaster

Mr. MacMaster has been working in Data and Analytics long before Big Data was capitalized. He is well known for unique and creative solutions for issues that challenge organizations and has lead organizations through difficult transformations.