by Simon Crosby, on Feb 28, 2019 11:20:30 AM

Application developers frequently choose REST in the name of simplicity, but for real-time apps, REST introduces unnecessary complexity and performance bottlenecks. REST based APIs, stateless computing and database-centric applications are the …

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Topics:Machine LearningStateful ApplicationsSWIM SoftwareIndustrial IOTSmart CitiesTraffic ManagementEdge AnalyticsManufacturingAsset TrackingDigital TwinEdge ComputingFog ComputingdevopsSwim Enterprisedistributed computing

by Simon Crosby, on Sep 12, 2018 12:14:13 PM

Last week I presented SWIM.AI Edge Intelligence at the O’Reilly AI conference in San Francisco. It was a terrific opportunity to learn from real users about their challenges delivering value …

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Topics:Machine LearningStateful ApplicationsSWIM SoftwareSmart CitiesTraffic ManagementEdge AnalyticsDigital TwinSWIM AIEdge ComputingFog ComputingSWIM EDX

by Brad Johnson, on Apr 17, 2018 11:19:16 AM

As organizations adopt Internet of Things (IoT) technologies in pursuit of more productive and cost-effective operations, it’s inevitable that we’ll continue seeing a shift from the cloud as a center …

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Topics:Machine LearningStateful ApplicationsSWIM SoftwareEdge AnalyticsDigital TwinSWIM AIEdge ComputingFog ComputingSWIM EDX

by Simon Crosby, on Apr 10, 2018 1:46:33 PM

Enterprises increasingly look to the cloud to deliver on their mainstream infrastructure and app needs: SaaS and IaaS make sense because they are cost effective, flexible and often more secure …

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Topics:Machine LearningSWIM SoftwareSWIM Inc.Smart CitiesTraffic ManagementEdge AnalyticsDigital TwinSWIM AIEdge ComputingFog ComputingSWIM EDX

by Brad Johnson, on Mar 21, 2018 2:47:43 PM

It’s becoming clear that the concept of “digital twins” will shape the future of how Internet of Things (IoT) applications are built. In fact, a Garter Research survey found that …

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Topics:Machine LearningStateful ApplicationsSWIM SoftwareIndustrial IOTSWIM Inc.Edge AnalyticsDigital TwinSWIM AIEdge ComputingFog Computing

by Brad Johnson, on Mar 15, 2018 9:56:08 AM

Remember when downloading a movie took hours to complete? At the time, it seemed like a reasonable thing. Movies are big files, and dial-up or DSL speeds were only so …

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Topics:Machine LearningIndustrial IOTSWIM Inc.Edge AnalyticsManufacturingSWIM AIEdge ComputingFog Computing

by Brad Johnson, on Feb 23, 2018 10:48:57 AM

Companies in a variety of industries are attempting to leverage data being generated at the edge. Whether it’s related to equipment, motion, position, the environment or other types of information, …

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Topics:Machine LearningStateful ApplicationsSWIM SoftwareIndustrial IOTSWIM Inc.Edge AnalyticsManufacturingSWIM AIEdge ComputingFog Computing

by Brad Johnson, on Feb 15, 2018 12:33:39 PM

Enterprises and public sector organizations are drowning in real-time data from equipment, assets, suppliers, employees, customers, and city and utility data sources. The hidden insights buried within this data has the …

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Topics:Machine LearningStateful ApplicationsSWIM SoftwareIndustrial IOTEdge AnalyticsManufacturingDigital TwinSWIM AIEdge ComputingFog Computing

by Brad Johnson, on Feb 9, 2018 10:37:17 AM

Businesses are rapidly adding new devices, tags, sensors, automation, software and compute elements to help track and optimize business performance – but are rarely able to act on the data …

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Topics:Machine LearningStateful ApplicationsSWIM SoftwareIndustrial IOTSWIM Inc.Edge AnalyticsManufacturingAsset TrackingAsset ManagementSWIM AIEdge ComputingFog Computing

by Brad Johnson, on Jan 23, 2018 12:12:00 PM

Big Data was never going to be a universal panacea. The goals of Big Data are clear, monitor and measure enterprise business and processes, analyse and act on that data …

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Topics:Machine LearningStateful ApplicationsSWIM SoftwareIndustrial IOTEdge AnalyticsManufacturingAsset TrackingAsset ManagementSWIM AIEdge ComputingFog Computing