SWIM Blog

SWIM Blog

    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:

    0 CommentsContinue Reading →

    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:

    0 CommentsContinue Reading →

    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.

    0 CommentsContinue Reading →

    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 Software, 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.

    0 CommentsContinue Reading →

    Future of Smart Cities and Real-time Traffic Predictions (Part II)

    Posted on Oct 13, 2017 11:05:00 AM by Swim Team in Machine Learning, in Swim Software, in Industrial IOT, in Smart Cities, in Edge Analytics, in Swim AI

    This is a part 2 of a two part series. Read more about the future of Smart Cities Part 1.

    New innovations in Machine Learning, Edge Computing, and real-time data analytics are shaping the development of Smart Cities projects around the world. One benchmark use case for Smart Cities efforts is that of Intelligent Transportation Systems (ITS), which include the use of connected vehicles and transportation infrastructure to automate or optimize transportation systems. With 58% of in-development Smart Cities projects relating to either Smart Buildings or Smart Transportation efforts, and 250 million connected vehicles expected to be on the road by the year 2020, the adoption of Smart Cities technologies will have a transformative effect on the transportation systems of the future.

    0 CommentsContinue Reading →

    Future of Smart Cities and Real-time Traffic Predictions (Part I)

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

    This is a part 1 of a two part series. 

    New innovations in Machine Learning, Edge Computing, and real-time data analytics are shaping the development of Smart Cities projects around the world. One benchmark use case for Smart Cities efforts is that of Intelligent Transportation Systems (ITS), which include the use of connected vehicles and transportation infrastructure to automate or optimize transportation systems. With 58% of in-development Smart Cities projects relating to either Smart Buildings or Smart Transportation efforts, and 250 million connected vehicles expected to be on the road by the year 2020, the adoption of Smart Cities technologies will have a transformative effect on the transportation systems of the future.

    0 CommentsContinue Reading →

    Machine Learning Cuts the Industrial IOT Value Delivery Problem

    Posted on Aug 23, 2017 11:56:52 AM by Swim Team in Machine Learning, in Swim Software, in Industrial IOT, in Smart Cities, in Edge Analytics

    The concept of an IOT application platform is already an anachronism.  Scan the web and you’ll find over 400 vendors, from startups to huge firms such as GE making the case that their platforms are the future of edge analytics for IOT.  Their narrative has roots in the fabulous innovation of the last 10 years by the major cloud vendors, starting with the concept of Infrastructure as a Service (IaaS), and progressing (at least theoretically) to Platform as a Service (PaaS).  Of course Software as a Service (SaaS) is a huge winner here, spanning everything from Office 365 to Salesforce.com.  All in all, there is a general perception that the cloud solves all problems, and so when it comes to IOT analytics, and the need to support a diverse set of applications and edge scenarios, then the cloud narrative is a no-brainer: 

    0 CommentsContinue Reading →

    Smart City IOT Trends & Spend - IIOT Infographic

    Posted on Aug 15, 2017 11:07:00 AM by Swim Team in Machine Learning, in Swim Software, in Industrial IOT, in infographic, in Smart Cities, in Smart Buildings

    Smart Cities technologies can help power more efficient, greener, and more livable cities. The insights from Smart City devices can optimize city operations and generate significant cost savings, but challenges remain integrating with the in-place municipal systems that could benefit most. As city governments continue to increase investments into IOT technologies, Smart City decision makers should focus on solutions that emphasize local, real-time data analysis, and interoperability to maximize impact, as well as uncovering hidden insights by using Machine Learning.

    We've put together this infographic of Smart Cities Trends & Spend to help you navigate IOT opportunities and uncovering IOT efficiencies in your Smart City:

    0 CommentsContinue Reading →

    Optimize & Alleviate Traffic: The Operations & Management (O&M) Cheat Sheet for Smart Cities, ITS, and TMC's

    Posted on Aug 11, 2017 1:25:00 PM by Swim Team in Machine Learning, in Swim Software, in Industrial IOT, in Smart Cities, in Traffic Management

    The Marketing team at Swim analyzed available United States Department of Transportation’s traffic project estimates to pinpoint the cost of alleviating traffic concerns in various US markets through the use of software. Swim wanted to identify the traffic optimization opportunities that would benefit from the use of Internet of Things (IOT) technologies, sensor data, and machine learning, which would also reduce traffic costs & expenditures while optimizing and alleviating traffic conditions.  

    0 CommentsContinue Reading →

    Increase Cost Savings with Smarter Buildings - IIOT Infographic

    Posted on Aug 7, 2017 11:33:16 AM by Swim Team in Machine Learning, in Swim Software, in Industrial IOT, in infographic, in Smart Cities, in Smart Buildings

    The Internet of Things (IOT) has the potential to unlock deep insights about IT (Information Technology) and OT (Operational Technology) aspects of Building Management by using data and insights from Machine Learning. Integrating Building Management Systems (BMS) with IOT sensors can provide insights that identify inefficiencies, predict maintenance needs, and alert facilities managers to equipment failures in real-time. In order to maximize the benefit of IOT investments, building managers should look to IOT solutions that aggregate across all systems (HVAC, utilities, security, etc.) to deliver a complete, contextual view of current building performance.

    0 CommentsContinue Reading →