Akka vs Swim: The Key Differences

Using a Kafka Broker to Build Real-time Streaming Applications

What is Contextual Data? And, How is it Evolving?

Web Agents: The Future of Digital Twins and Streaming Data

Stateful vs. Stateless Microservices: What's the Difference?

What are Digital Twins? And What's the Next Evolution?

The Key Differences Between Streaming APIs and REST APIs

The Business Value of a Real-time User Interface

What are Real-Time Streaming Applications, and Why Do They Matter?

Let Event Streams Auto-Build Your Dataflow Pipeline

Analyze Kafka Events On-The-Fly

A Quick Note on Continuous Analysis

Forget Data - It's State That Matters

Brokers Aren't Databases

Continuous Intelligence for Dynamic Control of 5G Capacity

5G MEC is not just a "Closer Cloud"

Brokers Don't Run Applications...

Data is Meh – State & Dynamic Relationships Count

Are Mobile Networks Ready for the Streaming Tsunami?

Use Databases for Insights - Not Data

"Edge AI" Isn't a Market, But...

Let Streaming Events Build Your Dataflow Pipeline - On-the-fly

Why Smarter Databases Can’t Deliver Continuous Intelligence

Using Swim with Apache Kafka

No, data isn't the new oil...

Comparing Swim & Apache Flink

Coherence vs Consistency for Continuous Intelligence Applications

Comparing Swim & Akka

A Simple Swim App for Apache Kafka Event Streams

See - at the Resolution of Your Data

Announcing Swim Continuum 4.0: Managing Continuous Intelligence at Scale

The Journey to Continuous Intelligence (Part 6)

The Journey to Continuous Intelligence (Part 5)

The Journey to Continuous Intelligence (Part 4)

The Journey to Continuous Intelligence (Part 3)

The Journey to Continuous Intelligence (Part 2)

The Journey to Continuous Intelligence

SwimOS & The Swim Platform: What's Open Source and What's Not?

Big Data? No, It's About Endless Data Now.

How Streaming Data Changes Our Assumptions About Application Architecture

SwimOS Rewind (VIDEO): Stream & Visualize MATRIX Creator Sensor Data with SwimOS

WTF is 5G and What Does It Mean for the Future of Distributed Software?

Microservices are to Monoliths, What Web Agents are to ___________?

Shifting Your Mindset From Big Data to Intelligent Edge Apps

The "Intelligent Edge" is an App Architecture Challenge

When to Use SwimOS: Top 3 Use Cases for App Developers

SwimStreams and More: The Best New Swim.ai Podcasts

From Sensors To Cloud: Making The Data Flow Smooth

Google Cloud Drops MapReduce: The Big Data Wheel Keeps Turning

PRESS RELEASE: SWIM.AI Introduces DataFabric Software

Real Time Observability for Kubernetes with SwimOS

How SwimOS Enables Stateful Streaming Applications

Recon, and Warp, and Fabrics, Oh My! Decoding Four Important SwimOS Terms

What is Recon? How We Augmented XML and JSON For Streaming Data

SwimStreams Podcast with Krishnan Subramanian

Deploying SwimOS on Kubernetes

The Open Source Evangelism Paradox

Why Swim is Prioritizing Polyglot Programming

Build a Simple Chat App using Java and Stateful Web Agents

Searching For A Scalable Streaming API

Beyond Serverless: Why We Need A Stateful Data Fabric

How to Build Stateful Java Services in 15 Minutes or Less

Aggregating REST and Real-Time Data Sources

Swim, Frameworks, and Containers: Putting It All Together

Sorting Through "Real-time" Hype, Kubernetes, and More

REST APIs are Killing Your Real-Time App

Using Swim, NodeJS and Python for Learning on a Distributed Cluster of Devices

Swim is a Lot Like ______, Except Different.

How is Swim a Distributed Operating System?

Rethinking the World Wide Web for Streaming Data

Why We Need a Distributed Operating System

Serverless Anti-Patterns

Real-time Apps Can’t REST

The Real World is Stateful

"The Edge" is Not a Place

PRESS RELEASE: SWIM.AI Introduces Open Source Swim Platform

Building a Smart City? Have a Strategy for Streaming Data

Stream Processing vs Streaming Apps: What’s the Difference?

Do You Need Big Data, Fast Data, or Both?

Simon Crosby: Takeaways from the O'Reilly AI Conference

Tacos, Champagne, and Integration Testing: My Summer Internship at SWIM.AI

Exploring the Challenges of Building Real-Time Applications

Interview with a SWIM Developer: Building an Augmented Reality Rover

My Summer Internship at Edge Intelligence Startup SWIM.AI

Edge Learning is Now a Thing

PRESS RELEASE: SWIM.AI Secures $10M in Series B Funding

It’s Not Edge vs. Cloud, It’s Fast vs. Slow

Making the Edge and Cloud Work for Enterprise Apps

Why the Edge Needs a Distributed Operating System

3 Considerations When Using Digital Twins

DevOps for IoT: You’re kidding, right?


SWIM Soundbytes: Top SWIM.AI Podcasts

How Edge Computing Affects These 3 Application Technologies

Enterprise Computing at the Edge

Building Digital Twins from Data

PRESS RELEASE: Trafficware and SWIM.AI Launch TidalWave Live Streaming Traffic Information Service

Introducing Digital Twins That Learn: SWIM EDX

PRESS RELEASE: SWIM.AI Exits Stealth and Names Leadership Team


How Digital Twins Can Optimize Edge Computing Efficiency

Edge Computing Matters, Because Real-Time Matters

Time-series Machine Learning in the Cloud? Nah

4 Biggest Challenges to Supporting Edge Applications

Top 3 Innovations Shaping Edge Computing in 2018

Scaling the Edge: Building Enterprise Applications that Scale Automatically

Edge Intelligence: Moving Software to the Data

Edge Intelligence Delivers on the Promise of Big Data

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?