Category

Internet of Things

Death of Socrates

Will the Internet of Things Accelerate the Development of Artificial Intelligence?

By Artificial Intelligence and Machine Learning, Internet of Things No Comments

Artificial Intelligence and Machine Learning

Like the Internet of Things that shed its drab machine-to-machine image of a decade ago to become the cornerstone of the digital transformation movement, artificial intelligence technology is sprouting a new life from its 50-plus years old roots. (Yes, we’ve been doing artificial intelligence, admittedly with limited success, since the late 50s.)

There’s no doubt that AI has achieved impressive success over the last decade, promising a growing field of practical use of AI technology.

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Hydrodynamic powered trip hammer machine

China to Build Industrial Internet Standard System by 2025

By Internet of Things No Comments

China’s Xinhua news agency announced the country will establish a standard system for the Industrial Internet by 2020. Guideline jointly released by the Ministry of Industry and Information Technology and the Standardization Administration establish technical standards for key elements of the Industrial Internet of Things (IIoT), including industrial internet resources and platforms, big data and cybersecurity.

The goal is to build an integrated open standards-based IIoT system by 2025.

This announcement is bold, sweeping and vague all at the same time, and does not offer a detailed roadmap and implementation details. Nevertheless, if China is successful in achieving even part of the overall goal, it will have a major effect on the development of IIoT. China’s industrial market size and its continued growth, coupled with other government initiatives in renewable energy targets and aggressive shift to all electric cars will create a tipping point.

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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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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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Wine is a Mocker (Jan Steen, 1663–64)

The Industrial Internet of Things: When the Party is Over

By AR/VR, Artificial Intelligence and Machine Learning, Internet of Things, Manufacturing, Mergers & Acquisitions No Comments

IoT Industry Snapshot and Predictions

The industrial Internet of Things community is finally beginning to sober up from the bacchanalia of counting connected IoT devices and terabytes of cloud data storage that has dominated the IoT narrative for too long.

IoT platform vendors and consultants are shifting their focus from the lower rung of the IoT technology stack that focuses on device connectivity to the other end of the stack, to technologies that provide meaningful business value: multidisciplinary data aggregation, complex data analytics and higher capacity for optimal decision-making.

Robust articulation of the business value of industrial IoT has been absent from much of the narrative, in the vein of “if you build it, they will come.” Many IoT platform vendors provide tools to draw snazzy dashboards, plot complex data graphs and display virtual gauges. But their data analytics tools are not as robust and trending and predictive capabilities are over optimistic. And the recent rush to add statistical analysis tools (often linear regression tools masqueraded as artificial intelligence and machine learning) will face real-world challenges of data biases, inconsistency and scale. Read More