Swim Blog

Swim Blog

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 ESP, 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 ESP, 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.

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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 ESP, 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 ESP, 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 ESP, 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 ESP, 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 ESP, 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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Three Ways Edge Computing Will Affect the Future of Smart Cities

Posted on Oct 20, 2017 11:24:00 AM by Swim Team in Machine Learning, in Swim ESP, in Industrial IOT, in Smart Cities, in Edge Analytics, in Swim AI

Discussions are occurring in major cities throughout the world between city planners, technologists, and citizens about how to make their city a Smart City. With ambitions for creating a better quality of life for citizens, Smart City planners must tackle a complex landscape of sensors and data processing technologies. Due to the rapid pace of innovation with technologies such as Edge Computing, Machine Learning, and Digital Twins, it’s often hard to keep track of how recent developments will affect the cities of the future.

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Key Takeaways from “The Forrester Wave: Streaming Analytics” (Part II)

Posted on Oct 20, 2017 11:24:00 AM by Swim Team in Machine Learning, in Swim ESP, in Industrial IOT, in Edge Analytics, in Swim AI

This is a part 2 of a two part series. Read more about the future of streaming analytics in part 1.

While the data lakes landscape has matured over the last few years, the streaming analytics market is continuing to develop as more enterprises embrace the use of streaming analytics to provide real-time insights for their business systems. Early returns suggest that embracing streaming analytics in industry can lead to significant efficiency gains and decreased operational costs. For example, a study by McKinsey & Co. found that “using real-time data to predict and prevent breakdowns can reduce [manufacturing] downtime by 50 percent.” With real-world cost savings at stake, the momentum toward real-time has never been stronger.

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Key Takeaways from “The Forrester Wave: Streaming Analytics” (Part I)

Posted on Oct 18, 2017 11:15:00 AM by Swim Team in Machine Learning, in Swim ESP, in Industrial IOT, in Edge Analytics

This is a part 1 of a two part series. 

While the data lakes landscape has matured over the last few years, the streaming analytics market is continuing to develop as more enterprises embrace the use of streaming analytics to provide real-time insights for their business systems. Early returns suggest that embracing streaming analytics in industry can lead to significant efficiency gains and decreased operational costs. For example, a study by McKinsey & Co. found that “using real-time data to predict and prevent breakdowns can reduce [manufacturing] downtime by 50 percent.” With real-world cost savings at stake, the momentum toward real-time has never been stronger.

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