Open Source Software for Industry 4.0

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The Internet of Things (IoT) represents a significant change and opportunity for the manufacturing industry. Technological advancements in connectivity and communication technology, real-time data analysis, and complex event processing have opened the possibility of integrating the traditional operational technology (OT) of a manufacturing plant with the enterprise information technology (IT) systems.

Spotlight

mnubo

mnubo’s Smart Objects solution provides IoT Data Analytics to help product manufacturers build better connected products and services. mnubo’s solution equips manufacturers with insights that allow them to improve product usage, increase customer engagement, reduce customer churn and lower the cost of operations. Smart Objects facilitate the exploration and analysis of sensor time series and events in order to obtain insightful and actionable information about connected products, enabling ‘connected things’ to become ‘smart things’. mnubo was founded in 2012 by a team of industry experts in the areas of next-generation mobile networks, highly scalable and flexible databases, and subscriber data management.

OTHER ARTICLES

How AI and IoT Provide Value in Construction

Article | March 24, 2020

Internet of Things (IoT) sensors predominantly provide visibility to an operating stack – enabling access to real-time and accurate operational data. Laying analysis on top of that data produces dashboards and other visual representations but artificial intelligence (AI) extends this further by harnessing the data streams to train models and identify patterns. Observations can then be made by a computer much like a human analyst could but at tremendous speed and scale. AI makes it possible to anticipate and predict events in a robust and scalable way. This can create huge business advantages. In this article, we’ll look at applications of AI and IoT in construction.

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AR Indoor Navigation Technology Connects Retailers With Shoppers

Article | March 24, 2020

Technology drives innovation, and for most retail companies, the “Transform or Die” motto still rings true. Retailers are always experimenting with the latest tech innovations to reshape the customer experience to alter their expectations both in physical stores and online. But simply following every hot trend in the industry because of the fear of missing out (FOMO) is one of the most common mistakes retailers make when adopting emerging technologies. The retailers who thrive in their respective markets are the ones who learn how to implement technologies that deliver the highest return on investment (ROI) from Gartner’s hype cycle for emerging technologies.

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Building a Cold Chain Management IoT Solution

Article | March 24, 2020

Artificial intelligence (AI) has existed in the public consciousness for decades. The (mostly) sentient machines playing the villains in Hollywood movies have never been realistic depictions of the technology, but they have left an impression, nonetheless. AI has proved as exciting to the layman as it is to the expert. Usually based in remote data centers, AI is capable of collecting and examining immense volumes of data, generating insights based on analytical algorithms. With varying degrees of autonomy, these capabilities have been put to use streamlining decision-making processes. While AI is often thought of as a product in its own right, it is increasingly intersecting with other parallel trends. Chief among these is the Internet of things (IoT), which enables previously isolated machines to “talk” to one another and, at the same time, generate data that makes new modes of operation a possibility.

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IoT Security: Inherent Risks Require Robust Solutions

Article | March 24, 2020

IoT technologies offer many remarkable benefits. They can make complicated tasks, such as tracking a fleet of thousands of vehicles, monitoring and adjusting manufacturing processes or automating a smart home or office simpler, easier and more cost-effective than ever before. By inviting IoT devices into our homes, workplaces and public spaces, however, we also expose new attack surfaces. When we assign an IoT system to be responsible for a critical task or trust it to monitor sensitive information in our most private spaces, we want to ensure that the system can be trusted. For this reason, it is vital that security best practices are applied at all stages when developing an IoT solution.

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Spotlight

mnubo

mnubo’s Smart Objects solution provides IoT Data Analytics to help product manufacturers build better connected products and services. mnubo’s solution equips manufacturers with insights that allow them to improve product usage, increase customer engagement, reduce customer churn and lower the cost of operations. Smart Objects facilitate the exploration and analysis of sensor time series and events in order to obtain insightful and actionable information about connected products, enabling ‘connected things’ to become ‘smart things’. mnubo was founded in 2012 by a team of industry experts in the areas of next-generation mobile networks, highly scalable and flexible databases, and subscriber data management.

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