Adopting Industry 4.0 practices could be critical for your business. And edge computing could be critical for your Industry 4.0 adoption plans. What is Industrial Edge Computing? Industrial edge computing means connecting all the benefits used in manufacturing, like energy and transportation. This allows companies to save, process and analyze data locally, in real time, […]
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Artificial intelligence (AI) is making tremendous impact already in the world. Some of that impact is indirect and comes from the anticipation of things that may sound like science fiction now, which has led to massive investments in ideas and people. Much of the impact is direct and comes from applying existing AI capabilities to […]
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Edge computing has many beenefits; it means faster response times, increased reliability and security. A lot has been said about how the Internet of Things ( IoT ) is revolutionizing the manufacturing world. Many studies have already predicted more than 50 billion devices will be connected by 2020. It is also expected over 1.44 billion data […]
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Two lawyers walk into a smart manufacturing conference. Sounds like the beginning of a bad joke, right? Well, no, actually, it was the reality last month when lawyers Matt Pollins, partner and head of commercial/TMT at legal firm CMS Singapore, and Wong Hong Boon, manufacturing and supply chain legal counsel at 3M Singapore, joined a […]
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In 500BC the Chinese general and military strategist Sun Tzu taught his commanders that quickness is the essence of war, and agility the hinge of battle. Sun Tzu’s wisdom 0f 2500 years ago is uniquely appropriate to us today as the fourth Industrial Revolution continues to unfold. Above all, digital transformation is a culture change. […]
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In recent months, augmented reality (AR) has gained much attention across both business and consumer marketplaces. Although AR technologies have been around for at least 15 years, mainstream adoption is a recent phenomenon within the manufacturing industry. New breakthroughs in the affordability and applicability of AR technology have accelerated the rate of adoption. Traditional AR […]
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Over the past 10 years we’ve watched cloud computing come of age as more and more companies send their data to the cloud for processing, storage, and management rather than keeping that data on a local server or Edge gateway. The benefits of cloud computing are vast, however there is another key development on the […]
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It is real, but it’s difficult to say how long it will take. It will surely take many years to fully realize, but is already happening faster than many expected. This blog presents some of key digital transformation trends in manufacturing ARC tracks in 2018. Advanced Analytics and Machine Learning The most noticeable and probably […]
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A survey of senior-level, experienced Industrial IoT decision-makers and influencers in the manufacturing, oil and gas (O&G), and transportation industries confirms that IIoT has progressed beyond hype to widespread use. Eighty six percent of participants in the Bsquare 2017 Annual IIoT Maturity Survey have adopted IIoT solutions and 84% believe their solutions are very or […]
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Jagannath is responsible for the data-driven services business of the industrial Internet of Things (IIoT), which includes MindSphere, the secure, cloud-based, open IoT operating system built for industry. His portfolio of responsibilities includes the widespread application of “Big Data” technologies in the realm of manufacturing, covering topics such as plant analytics, asset analytics, artificial intelligence, […]
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“It is a moment that happens, probably, every 25 years, it’s an exponential moment when both, business and technology architectures change at the same time. This moment has a potential to change everything, and If you are able to learn exponentially, you become the disruptor instead of being disrupted.” This is how the IBM Chairman, […]
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In my earlier article, we talked about the usage of machine learning algorithms in autonomous cars. Obviously, the process of training algorithms for autonomous cars, learning and implementation of machine learning is not without a huge set of challenges. Challenges in autonomous vehicle training: In this article we will talk about the challenges in training data […]
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