Nnaisense: Machine Learning

Brought to my attention.    Via Jurgen Schmidhuber        https://nnaisense.com/

Nnaisense.com:  World-leading machine learning that unlocks the full power of IIoT/Industry 4.0

Naisense:  'Where AI Meets the Industry'

Inspection

Deep learning analytics detects anomalies in sensor data and enables rapid corrective action for quality control.

Modeling

Predictive models of complex industrial processes yield valuable new insights and enable simulation-based learning of control strategies.

Control

Deep reinforcement learning brings unprecedented levels of intelligent control to processes previously thought too complex for full automation.

There is no off-the-shelf AI

Challenging industrial use cases require deep expertise to build custom AI solutions that actually work in the field to affect the bottom line. Whether it’s the production of glass and metal parts, or rapid monitoring of wind turbines, our technology is trusted by industry leaders to create value—we don’t make solutions fit; we make solutions to fit.

How it works:   https://nnaisense.com/technology/

VIEW CASE STUDIES      https://nnaisense.com/case-studies 

A vision of radically more efficient, sustainable, and creative industry

NNAISENSE builds upon the 25-year proven track record of its founders’ fundamental contributions to modern AI research and its application. The company was founded in 2014 with the goal of taking AI out of the digital world and into the physical, transforming industry by harnessing the full potential of this technology.

https://nnaisense.com/company/

Smart Manufacturing - AI OS for Industry 4.0

Putting all the pieces together for Industry 4.0

Smart Manufacturing Startup Builds AI OS for Industry 4.0  in NAnalyze

Smart manufacturing. Industry 4.0. Smart factories. Industrial Internet of Things (IIoT). Manufacturing on demand. The list of buzzwords around how the world will completely digitize the manufacture of every widget imaginable goes on and on. These factories of the future will link every machine and robot, each mapped down to the micron in a cloud-based digital twin. AI algorithms will automate the manufacturing process from end to end, with technologies like 3D printing taking on an outsized role. At least that’s what they tell you in the slide decks. A startup called Oqton is angling to be a key player in the industry 4.0 market with its own smart factory operating system (OS) built around additive manufacturing.... "

AI and Industrial IoT

Nice overview example, similar things happening at GE.

AI Transforms Industrial IoT    Posted by Ronald van Loon  from DSC

If you’ve been studying artificial intelligence and its growth, you’ll know that the industry is well past its nascent stage now. There is significant maturity in its growth, and companies from diverse backgrounds are realizing the impact of incorporating data and AI into their ecosystems.

In a bid to understand the dynamics of this data-centered growth, I teamed up with Hewlett Packard Enterprise (HPE) to do an analysis of their international survey on the present and the future of AI within the industrial sector. Through the survey HPE wanted to find answers to some of the most asked questions related to the field of AI:

What percentages of companies are working on AI?

How can AI transform industrial IoT for the better?

Will it prove to be a job killer for us humans?

The survey answers these and many other questions that shroud the mind of everyone who is currently a doubter..... "

Technology Stack and the IIOT

Been exploring what works in equipment maintenance in industry applications.

IIoT platforms: The technology stack as value driver in industrial equipment and machinery

Equipment and machinery companies considering a transformation to embrace the Industrial Internet of Things (IIoT) need to develop a clear perspective to drive impact at scale.  ... " 

IIOT Platforms

Interesting thoughts and visuals on the topic.

IIoT platforms: The technology stack as value driver in industrial equipment and machinery

Equipment and machinery companies considering a transformation to embrace the Industrial Internet of Things (IIoT) need to develop a clear perspective to drive impact at scale....

" ... Seeing the limits of hardware-driven growth, industrial equipment and machinery companies are looking to the Industrial Internet of Things (IIoT) to develop new customer-oriented, revenue-boosting business models. On the operations side, IIoT could increase production efficiency. Whether the focus is on revenue from new business models, savings from more efficient production, or both, digital-enabled advances in manufacturing require IIoT transformation. ...  "

In McKinsey

Digital Twins for Personalized Medicine.

Reminds me in the human sense of agent based models.   And their use to address group behavior. Interesting, but not necessarily predictive.   The article quotes George Box, who said  'All Models are wrong, some are useful'.    How correct will the models be, how useful?   We expect personal accuracy from medicine.  Worth examining.

Digital Twins for personalized medicine: promising, with caveats    By Neil Raden  in SiliconAngle

" ... Digital Twins, a concept from the “industrial internet of things” or IIoT, is the discipline of devising highly capable simulation models, especially those that consume streaming data from sensors to anticipate maintenance issues, impending failure of components and improving performance. In terms of the degree of difficulty of modeling, Digital Twins for IIoT machines such as jet engines, oil wells and wind turbines are actually at the lower end as they employ detailed knowledge of the engineering of the objects. These Digital Twins may be quite complex, but because they are well-understood, the models are more likely to be useful.

Devising a simulation model of human behavior, such as the classical propensity models, is much more difficult because humans are so unpredictable and engineering approaches obviously don’t apply. In effect, these models may do a good job of predicting propensity based (on) many criteria, but at any given moment for any given individual, their predictive capability is quite low.  .... " 

Embedding Software in Everything

We are moving quickly in this area, with lots of changes regarding need for better security, and architectures to ensure that.   So many unexpected things will start to become connected.

Embedded Software Eating the World  in IOT Central  An interview:

Software is eating the world wrote Marc Andreessen in The Wall Street Journal on August 20, 2011. Since that time every company in the world has beefed up their software teams and their digital transformation initiatives. Afterall, software is a key competitive advantage, and to survival.

In the IoT space, we often think about the application software that power industrial systems and consumer connected devices. But what about the embedded software written to control machines or devices that are not typically thought of as computers? This is almost everything, from a small digital watch, e-bikes, electronic control units in cars, microwaves and missile guidance systems.

For insight we turned to Jeffrey Fortin, Head of Product Management, Vector Software. Vector provides automated test tools for embedded software applications in automotive, aerospace, medical devices, industrial controls, rail, and other business critical sectors. .... "

GE to Roll Out Predix Asset Management

Have been following Predix, was a beta user.   Managing Assets in the IoT is important

GE to roll out its Predix Asset Performance Management software at its monitoring, diagnostic center  .... By rolling out APM to its monitoring and diagnostic center, it will be able to tap into utility sensor data around the world for more predictive abilities. .... "    By Larry Dignan in ZDNet

IOT vs IIOT

Overview that is useful ... with examples of applications.

IOT vs IIOT   Do you know the difference?
Not all Devices are IoT or IIoT

Posted by Daniel Ehrenreich  in IOT Central

Business opportunities created by Internet of Things (IoT) and the Industrial IoT (IIoT) are among the most debated topics, as these are designed to function in a broad range of consumer and industrial applications.

Manufacturers of IoT components believe in this new trend, but many of them still not understand the essence of the IoT concept. In reality, not every controlled device is an IoT nor IIoT.

The IoT/IIoT concept is a communication-based eco-system in which control devices, CCTV cameras and industrial sensors communicate via the Internet with cloud-based computer systems and data sources, and the result of this process is displayed on a computer screen, smartphone or used for optimal activation of a process. Through an IoT/IIoT ecosystem you may boost productivity and achieve unique benefits. Examples of IoT/IIoT include applications such as; remote operation of home appliances, medical devices, check on availability of a product in a store, warnings of unusual conditions and malfunctions and more.  .... " 

Hidden Costs of Industrial IOT

In Read Write Web: Cisco report.   If these are truly hidden costs, the business models are not very well done.

A recent report indicates that while firms are benefiting from investments in the Industrial Internet of Things (IIoT), the complexity of the technology can prove costly.

An April white paper entitled “The Hidden Costs of Delivering IIoT Services”, was authored by Cisco Jasper, a global IoT platform. The white paper determined that companies saw “internal productivity and efficiency” as the key incentives to integrating new IIoT technology into their business models.

And with IDC predicting over 30 billion IoT devices by 2020, connected equipment looks to become ubiquitous in the coming years.

However, the rush to integrate IIoT can weigh on companies who aren’t prepared for the added costs. .... " 

Industry 4.0

Interesting characterization of industry from the beginning to the Industrial Internet, mentioned here previously, we were members of its inception.  See tag links below for more coverage

In CustomerThink:
" ... The term Industry 4.0 was coined by German Government which indicates use of latest digital technologies like Internet of Things in manufacturing industry. 

Sometimes it is also known as Industrial Internet of Things (IIoT). It refers to the 4th industrial revolution.

Here is the brief history of industrial revolutions: 

Industry 1.0: use of water and steam power

Industry 2.0: introduced mass production with the help of electric power.

Industry 3.0: use of electronics and IT to further automate production.

Industry 4.0: digitization of manufacturing with the use of Internet of Things, Big Data, automation of processes with Robots, 3D printing, drones & Artificial Intelligence (AI)

In the Internet of Things, sensors having the ability to collect real time data which can be used by manufacturers and producers. The advancements in big data and powerful analytics means that systems can scan through the huge sets of data and produce insights that can be acted upon quickly.
... "