Clash of the Titans (Gustave Doré, 1866)

ABB and Dassault Systèmes Team Up

By | Internet of Things, PLM | No Comments

ABB and Dassault Announce a Global Software Partnership for Digital Industries

On February 28, ABB and Dassault Systèmes announced they have entered into an agreement to form a “global software partnership for digital industries”: an industry-spanning global partnership to offer customers a broad software and hardware portfolio of PLM, asset health monitoring and factory automation solutions.

This partnership signals yet another major power shift in the enterprise digital manufacturing leadership, preceded by the announcement last summer of a partnership between PTC and Rockwell Automation.

The proposed partnership between ABB and Dassault Systèmes is more than yet another tit-for-tat in the highly competitive and often difficult to differentiate PLM and digital manufacturing space, although I suspect some was of it influenced this recent move.

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Count von Count

How Many Autonomous Cars Will be on the Road in 2025?

By | Autonomous Cars, Connected Cars, Electric Vehicles | No Comments

Like Sesame Street’s Count von Count, industry analysts have a compulsive love of counting things.

One favorite item to count has been Internet of Things devices or “things.” This metric has proven elusive, and, as I opined numerous times before, mostly irrelevant, because the mere number of IoT devices deployed globally does not signify the business value they provide. In other words, more devices do not mean greater business value.

Conversely, connected and automated cars (CAVs) is a good example of more-is-better. More connected, safer, and, eventually, autonomous cars will improve the efficiency of urban transportation systems and reduce private vehicle ownership, thereby preventing crashes, easing traffic congestion and reducing carbon footprint.

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Galileo Facing the Roman Inquisition (Chistiano Banti, 1857)

Why Service Organizations Resist Predictive Maintenance

By | Field Service, Internet of Things, Reliability, Service Technology | No Comments

Much of the buzz about the industrial Internet of Things (IoT) and predictive algorithms is calling service organizations to adopt predictive maintenance (PdM) methods and tools. In fact, PdM is one of the frustratingly few-well flashed-out use cases for IoT.

The rationale for adopting predictive maintenance is quite convincing.

Many service organizations schedule equipment maintenance activities based on statistical models.  Routine preventive maintenance (PM) schedule is based on average failure rates of components and systems and prescribes mandatory part replacement and other maintenance activities before a critical failure is likely to occur.

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Elegant Gathering in the Apricot Garden (Xie Huan Ca. 1437)

Made in China 2025 and Intellectual Property Protection

By | Electric Vehicles, Mergers & Acquisitions, Supply Chain | No Comments

China IP Protection Practices Snapshot and Predictions

Product companies and research organizations have long complained about theft of intellectual property (IP) and lax enforcement of intellectual property rights in China. Forced technology transfers have been another major grievance of foreign companies setting up local operations in China.

Despite the potential risks of IP leaks and bureaucratic limitations, the lure of the enormous Chinese consumers market is impossible to resist and for some companies it may very well represent an essential component of their long-term growth strategy.

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The Tortoise and the Hare (J.J. Grandville, 1855)

The Race to Automate Driving: Is Japan’s Silent Strategy the Tortoise to America’s Hare?

By | Automotive, Autonomous Cars | No Comments

In a recent tweet, Lex Fridman, a research scientist working on human-centered artificial intelligence at MIT, said: “all of us working in autonomous vehicle research want nothing more than to save lives.”

While AI scientists and engineers share this noble goal, they often differ dramatically in the path they take to reaching it. 

Companies such as Uber’s Advanced Technology Group, Tesla and General Motors’s Cruise take an approach many will consider maverick, perhaps even cavalier: they deploy vehicles equipped with newly-developed autonomous operation capabilities on public roads and test them under real-world conditions, driving millions of actual miles and many more virtual miles using advanced simulation software. Design engineers monitor the performance of the robotic software and update the algorithms inside the vehicle, sometimes remotely and in near real time.

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