SWIM Blog

SWIM Blog

    Five Smart Questions to Ask About Edge Computing

    Edge Computing for Massive Real-Time Apps - Edge Computing Infographic

    Machine Learning Makes IoT Edge Data Useful for Predictive Maintenance

    What does a Real-World Edge Computing Deployment Look Like?

    Edge Learning: How to Get an IIOT Edge in 2018

    Edge Analytics: Insights at the Source - Edge Analytics Infographic

    Why Machine Learning Needs to Happen at the Edge

    4 Real-world Use Cases to Differentiate Edge Computing & Fog Computing (Part 2)

    4 Real-world Use Cases to Differentiate Edge Computing & Fog Computing (Part 1)

    Real-Time Edge Data Insights: How Edge Computing Solves for Latency at Scale

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

    Why Edge Computing is Eating the Cloud - Edge Computing Infographic

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

    Smart Cities Projects: Ask the Cities - Smart City Infographic

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

    How Smart Cities Keep Getting Smarter - Smart City Infographic

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

    Four Ways Edge Computing Helps Distribute Risk

    Three Ways Edge Computing Will Affect the Future of Smart Cities

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

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

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

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

    Machine Learning vs. Artificial Intelligence - Infographic

    Learn Like Humans: Not Like "Big A.I.”

    Redefining the Edge: Process Data at the Edge

    Five Ways Real-Time Edge Analytics Can Save the Day

    Swim Swarm: Digital Twins + UAVs + Machine Learning

    Swim Swarm: UAVs & Machine Learning at the Edge

    Machine Learning at the Edge: Streaming Data Analytics Engine

    Digital Twins Help Unlock Sensor Data in Industrial Environments

    Industry Trends of Drones and UAV's - IIOT Infographic

    Key Takeaways from Gartner’s "Hype Cycle for Emerging Technologies" 2017

    Four RFID + Edge Computing Use Cases

    Manufacturing IOT Trends & Spend - IIOT Infographic

    Analytics at the Edge - Edge Analytics Infographic

    Machine Learning Cuts the Industrial IOT Value Delivery Problem

    Analytics at the Edge: Three Benefits of Edge Analytics

    Smart City IOT Trends & Spend - IIOT Infographic

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

    Increase Cost Savings with Smarter Buildings - IIOT Infographic

    The Imagination of Things (IoT)

    Building Smarter Traffic Systems for Smart Cities - IIOT Infographic

    The Future of Smart Cities: Trends & Growth - IIOT Infographic

    Industrial IOT Is A Data Problem We Can Solve - With Machine Learning

    Ten Ways to Boost Your Smart Traffic Systems with Swim ESP - IIOT Infographic

    The Costs of Running Business In The Cloud - IIOT Infographic

    Industrial IOT Is Not an App Nor DevOps Problem. It’s a Data Problem.

    Drowning In IOT Data? - IIOT Infographic

    Ten Benefits of Swim ESP - IIOT Infographic

    “Study the past if you would define the future.” Confucius

    Five Big Questions About IOT - IIOT Infographic

    Current Industrial IOT Trends - IIOT Infographic

    "Supposing is good, but finding out is better." Mark Twain

    We're Hiring! Careers at Swim Inc.

    Machine Learning and Industrial IOT

    Data Tracking in the 2016 Presidential Election

    Why You Shouldn’t Grieve For Parse

    A Stateful Model For Realtime Applications

    How We Built an Impossible App

    7 Surprising Facts About Web Tracking

    You Downloaded Privacy Watch, Now What?