Industrial Transformation Blog

AVEVA just announced that they had completed the acquisition of OSIsoft. The announcement was made in an analyst conference on Friday, March 19, 2021, with a one-hour webinar featuring AVEVA CEO Craig Hayman and OSIsoft’s Pat Kennedy, plus Rob McGreevy of AVEVA and Gregg Le Blanc of OSIsoft. AVEVA worked on the acquisition for over a year, and OSIsoft also had help from their investors and former SAP pitchman and entrepreneur, Shai Agassi. Interestingly enough, Michael Siemer, OSIsoft’s president, was not on the call.

LNS Research’s initial work outlined the three architectural approaches to Industrial Transformation (IX). We also detailed the advantages and disadvantages for industrial users of each of these architectural paths and the underlying IX Infrastructure. We are now extending our research to advanced analytics. So, in this blog, we define Industrial Transformation (IX) Analytics and how LNS classifies its use.

Two subjects that are not new but have generated strong interest due to the COVID-19 pandemic are remote operations and the autonomous plant. While neither is hardly a new concept, our ability to actually make them a reality has changed with the disruptive digital technologies associated with Industrie 4.0. LNS Research has recently conducted a survey of these concepts with some 300 respondents across the process, hybrid/batch, and discrete industries. Our research focuses primarily on the plant, though the subject carries across the entire value chain. The results are both informative and insightful and highlight the difficult road ahead, especially for autonomous operations. Let’s begin the discussion by defining what we mean by remote operations and autonomy.

When we last visited with IBM in April 2019 at their first annual IoT Exchange event, we came away with renewed confidence that IBM was stepping up their game, freshly re-organized into a dedicated ISV-like unit, and investing heavily in Maximo, TRIRIGA, and the Engineering Lifecycle Suite to catch up to, if not outright out-innovate their competition.

AWS recently launched a new set of services called “AWS for Industrial” designed to make it easier for industrial customers to innovate, automate, and scale industrial workloads on AWS through purpose-built services, solutions, and the widest ecosystem of partners. AWS for Industrial features new and existing services and solutions built specifically for developers, engineers, and operators at industrial companies. AWS for Industrial claims to simplify the process for customers to build or deploy innovative Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), analytics, and edge solutions to achieve step-change improvements in operational efficiency, quality, and agility.

Every year, LNS Research puts forth predictions around the key trends in the Industrial Transformation (IX) topics where we focus our research. In the case of Asset Performance Management (APM 4.0), our 2020 forecast focused on Digital Twins, closing the APM 4.0 loop, the consolidation in the advanced analytics market, the battle for the OT Ecosystem, and the evolution of the OPA market.

Every year, LNS Research puts forth predictions around the key trends in the Industrial Transformation (IX) topics where we focus our research. In the case of Asset Performance Management (APM) 4.0, our 2020 forecast focused on Digital Twins, closing the APM 4.0 loop, the consolidation in the advanced analytics market, the battle for the OT Ecosystem, and the evolution of the OPA market. How did we do? Let’s do our self-evaluation to compare.

LNS has long focused on Operational Excellence (OE) as part of our Digital Transformation (DX) Framework, now Industrial Transformation (IX). In 2013 and 2014, we talked about Operational Excellence as a journey and stated that people, processes, and technology are the underpinnings of Operational Excellence initiatives.

AspenTech recently announced the general availability of the aspenONE® V12 software release, which embeds Artificial Intelligence (AI) across the portfolio and uses the Cloud to deliver enterprise-wide analytics and insights. The v12 release continues to support AspenTech's strategy of embedding AI and Machine Learning (ML) inside their products such that end-users can take advantage of these powerful tools without having to rely on data scientists or layer on external third-party analytics solutions.

GE Digital recently announced a series of products and service enhancements across their Digital Plant Software Applications portfolio. In addition, they released enhancements and new functionality in their Operations Performance Management (OPM) suite for power generation and announced their Remote Operations solution for Power Generation. All of these announcements culminated in a well-attended 2020 Virtual User Conference in October 2020.