SWIM Blog

SWIM Blog

    Edge Computing and Machine Learning: Two Sides of the Same Coin

    Posted on Nov 21, 2017 11:33:39 AM by Swim Team in Machine Learning, in Swim Software, in Edge Analytics, in Edge Computing

    The pace of adoption for Edge Computing technologies in industrial environments is picking up. Industry leaders value the potential benefits of analytics efforts, which can inform better maintenance strategies, improve productivity, and reduce wastage. However, in order to achieve these benefits, businesses must process massive volumes of data generated at the edge. While it is possible to push all data to the cloud for analysis, dealing with data at the edge enables applications to run more efficiently, while reducing burden on networks and centralized databases.

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    Why Edge Computing is Eating the Cloud - Edge Computing Infographic

    Posted on Nov 16, 2017 10:55:00 AM by Swim Team in Machine Learning, in Swim Software, in infographic, in Edge Analytics, in Edge Computing

    “The agility of cloud computing is great – but it simply isn’t enough. Massive centralization, economies of scale, self-service and full automation get us most of the way there – but…waiting on a data center miles (or many miles) away isn’t going to work,” says Gartner. We've put together this Infographic of why latency matters: Why Edge Computing is Eating the Cloud:

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    Key Takeaways From SDX Central's 2017 “Innovations in Edge Computing and MEC” Report (Part 3)

    Posted on Nov 14, 2017 10:45:00 AM by Swim Team in Machine Learning, in Swim Software, in Industrial IOT, in Edge Analytics, in Edge Computing

    This is Part 3 of a three part series. Read more about innovations in Edge Computing in Part 1 and Part 2.

    IOT technologies are helping decision-makers to quantify new insights from industrial equipment, workers, buildings, and other sources. These real-time edge data insights have the potential to reduce operating costs, improve efficiency, or deliver new capabilities. As businesses increasingly turn to IOT and analytics technologies in order to maximize the efficiency industrial environments, it’s no surprise that Edge Computing has become one of the biggest technology buzzwords of 2017. With massive volumes of data being generated by connected sensors, the Edge Computing model has proven to be an important building block for the industrial analytics applications of the future.

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    Smart Cities Projects: Ask the Cities - Smart City Infographic

    Posted on Nov 9, 2017 11:44:54 AM by Swim Team in Machine Learning, in Swim Software, in infographic, in Smart Cities, in Edge Analytics, in Edge Computing

    “There is an increasing need to think differently about how we deliver city services, ranging from transportation, water and waste management to energy and public safety. And tech lies at the center of all of these.” states Jonathan Reichental, the CIO of City of Palo Alto, California.

    We've put together this Infographic to share our learnings of where Smart Cities are investing in Smart City infrastructure. Learn more about planned & implemented Smart Cities projects and IT spend by Smart Cities in our Infographic:

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    Key Takeaways From SDX Central's 2017 “Innovations in Edge Computing and MEC” Report (Part 2)

    Posted on Nov 7, 2017 10:53:23 AM by Swim Team in Machine Learning, in Swim Software, in Industrial IOT, in Edge Analytics, in Edge Computing

    This is Part 2 of a three part series. Read more about innovations in Edge Computing in Part 1 and Part 3 (coming soon!).

    IOT technologies are helping decision-makers to quantify new insights from industrial equipment, workers, buildings, and other sources. These real-time edge data insights have the potential to reduce operating costs, improve efficiency, or deliver new capabilities. As businesses increasingly turn to IOT and analytics technologies in order to maximize the efficiency industrial environments, it’s no surprise that Edge Computing has become one of the more hyped buzzwords of 2017. With massive volumes of data being generated by connected sensors, the Edge Computing model has proven to be an important buildingblock for the industrial analytics applications of the future.

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    How Smart Cities Keep Getting Smarter - Smart City Infographic

    Posted on Nov 3, 2017 3:37:23 PM by Swim Team in Machine Learning, in Swim Software, in infographic, in Smart Cities, in Edge Analytics, in Edge Computing

    We've put together this Infographic to share our learnings of how Smart Cities Keep on Getting Smarter in Intelligent Transportation, Privacy & Security, Machine Learning, and Public Utilities.  Learn more about the top increase in top technology spend as well as the growth of connected devices in Smart Cities in our Infographic:

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    Key Takeaways From SDX Central's 2017 “Innovations in Edge Computing and MEC” Report (Part 1)

    Posted on Nov 2, 2017 11:58:12 AM by Swim Team in Machine Learning, in Swim Software, in Industrial IOT, in Edge Analytics, in Edge Computing

    This is part 1 of a three part series. Read more about innovations in Edge Computing in parts 2 and 3 (coming soon!).

    Call it the Great Quantification. IOT technologies have made it possible to gather valuable insights from industrial equipment, workers, buildings, and other sources. Decision-makers are now armed with vast amounts of information about how their businesses operate. These real-time edge data insights have the potential to reduce operating costs, improve efficiency, or deliver new capabilities. As businesses increasingly turn to IOT and analytics technologies in order to maximize the efficiency industrial environments, it’s no surprise that Edge Computing has become one of the more hyped buzzwords of 2017.

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    Four Ways Edge Computing Helps Distribute Risk

    Posted on Oct 27, 2017 3:15:00 PM by Swim Team in Machine Learning, in Swim Software, in Smart Cities, in Edge Analytics, in Edge Computing

    Edge Your Bets

    When it comes to operations, downtime is an ugly word. Downtime means lost productivity, lost revenue, and costly schedule delays. That’s why it’s especially frustrating for operations professionals when technology systems are the cause for unplanned downtime. For example, in the pharmaceutical industry, massive volumes of operational data from RFID and other Supply Chain equipment can cause ERP systems to overload, shutting down production lines and costing millions of dollars in lost productivity. New Edge Computing architectures can help to reduce this data at the source. By distributing compute power across already deployed devices, operators can offload the burden of data deduplication and refining from centralized processors, reducing the risk of overwhelming business systems.

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