In my last blog on Data Contextualization, we talked about data contextualization at various levels in the OT Ecosystem architecture, particularly in the Operational Data Lake. LNS Research is increasingly hearing the term “Data Hub” used to describe the processing, conditioning, contextualization, persistence, and access functionality so key to data management and one’s ability to scale the New OT Ecosystem. Questions we frequently hear are:

Every year, LNS Research analysts put forth predictions around the Industrial Transformation (IX) topics where we focus our research. In December 2020, I made five predictions for 2021. This year I am going to make only one prediction – in multiple parts – but I will drill into that one prediction more extensively. To help you to decide whether my multi-part prediction for 2022 is worth considering, I am concluding this blog post with an assessment of how I did in my 2021 predictions (spoiler alert: by my count, I was 4 out of 5 but you can decide).

Follow the money to see the real story

Google the phrase “Pilot Purgatory” and you will see a raft of press articles about the state of Digital Transformation and the Industrial Internet of Things (IIoT). McKinsey and Company, Deloitte, and a series of other firms have published several articles on “pilot purgatory” in IIoT, Digital Manufacturing, and Digital Transformation. IIoT and Artificial Intelligence/Machine Learning (AI/ML) vendors often exasperatingly discuss the successful implementations they have done at the company’s home office that have not translated into wide-scale rollouts. These vendors curse “pilot purgatory.”

Given all the brouhaha, one would expect that companies deploying these pilots would feel “stuck in” pilot and that getting to a wide-scale rollout was a key challenge in front of their Industrial Transformation (IX) Program. But when we surveyed industrials, we found just the opposite. Few companies felt “stuck in” pilot mode and only a fraction of companies identified “moving out of pilot phase” to be a key challenge. So clearly, pilot purgatory is fake news! Let’s look at the facts and see how we can reconcile these different perspectives.

As the year 2020 ended, LNS Research published a set of three Research Spotlights highlighting the three alternative architectural paths available for manufacturers around Industrial Transformation (IX). In the 3^rd Spotlight we introduced the concept of Industrial Transformation Strategic Partners. As part of the run-up to the release of the LNS Research IX Strategic Partners Solution Selection Matrix™ let’s revisit our definition of IX Strategic Partners, highlight the criteria we use to evaluate these vendors, list the vendors, and conclude with advice to manufacturers.

The way most industrial organizations manage risks in their operations is akin to driving a car forward while looking in the rearview mirror. This approach is useful for understanding what’s already happened but is of limited value in seeing what’s ahead and taking preventive action accordingly. The essential solution is to shift from a posture of risk hindsight to one of foresight and the ability to predict and prevent adverse events rather than respond after the fact.

In our December 2020 blog on AWS℠ Industrial, we noted that AWS and the other hyperscalers have always had the ambition to move up the value proposition and delivery stack. The hyperscaler’s objective is simple: to maximize the volume of dollars and services running through their platform. And, they incent their partners and their own salespeople to do so. They aim to win no matter which route one takes, directly through them or via their partners. We said that all roads lead to Rome.

Revisiting the Black Box

One of the questions that LNS Research often gets is how to explain Artificial Intelligence (AI) and Machine Learning (ML) not only to plant personnel, but also to operating management, in such a way so that they can understand them sufficiently to place a reasonable degree of trust in them. In other words, enough to allow their adoption for predictive maintenance and other data science-based applications.

In the early days of the COVID-19 crisis, the public health response was focused on containment, and the advice for industry was supply chain resiliency and risk management. Ensure that sole sourced critical components had been eliminated or weren’t coming from affected regions. In large part, North American and European manufacturing passed the test, due to several factors, including work already done after the Fujiyama nuclear disaster and supplier shifts forced by the several year-old trade-war.

In December 2019, 60k attendees descended upon Las Vegas for AWS re:Invent. Just like Amazon Web Services (AWS) generally, re:Invent is fast-growing and overwhelms with its sheer breadth of content. With dozens of announcements and multiple keynotes from senior executives, including an analyst-only session with AWS CEO Andy Jassy, re:Invent has quickly become a can’t miss tech event. Jassy clearly took pleasure in the success of AWS, as he should. Started in 2006, after just 13 years, the division has grown to $36B in revenue, is still growing at 35% compound annual growth rate (CAGR), and is Amazon’s most profitable.

We recently attended HxGN Live 2019, Hexagon’s annual digital solutions conference, in Las Vegas Nevada. Three thousand attendees were there to dive into nine different keynotes and over 500 sessions, many with hands-on training. The firm is a global leader in sensor, software, and autonomous solutions headquartered in Stockholm, Sweden, with 2018 revenue reaching €3,760.7 million (approximately $4.234 billion USD). Its business includes industrial enterprise solutions with €1.941 million in revenue serving the electronics, manufacturing, energy and power, automotive, and aerospace and defense segments. They are known in the manufacturing world for 3D design and simulation technologies (predominantly for process assets), positioning and location identification mapping capabilities, metrology equipment, and an array of other sensors. The event included a bevy of new product launches across every major division of Hexagon.