Rich Nagle is a Principal Solution Architect for Hitachi Vantara, supporting the Lumada Industrial DataOps product line. Rich has 24 years of industry experience in varied technical capacities. Throughout his career all roles he’s held have been linked to connected devices which has shaped his career in IIoT.
Rich began his career as an R&D engineer for his first 7 years, developing chips for the wireless industry. Then early on with the onset of mobile applications, Rich became engaged in varied app developments, ultimately leading to a role as Director of Mobile Applications for a fortune 500 healthcare company. For the better part of the last 12 years, Rich has worked with the leading IIoT platform companies and has been focused on helping customers across all industries successfully develop and deploy IIoT solutions. Rich holds an MSEE from USC and an MBA from University of California, San Diego.
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.