The IoT is the convergence of the physical and digital worlds, with data being fed to the cloud from different devices for different purposes. The challenge for many developers lies in getting data from their device to a place that they can analyze and respond to this data. Experts in hardware design and firmware development, can quickly become lost trying to put together the different pieces of their cloud service: infrastructure, security, cognitive analytics, etc.
IBM’s Watson IoT Platform addresses this need, seamlessly connecting hardware to IBM servers around the globe. The Watson IoT platform gives developers access to a wide range of tools and capabilities, including intelligent analytics, enterprise-grade security, and device management.
In a step by step demo, Chris Anderson, Director of Engineering will show us how to he is using Watson IoT Platform with Node-RED and Rasberry Pis to send the sensor data back to Watson IoT, process the data, and then trigger a toy dinosaur to move or roar when certain criteria are met.
When you're ready to make the most of your data through an IoT Platform, you have options on how to get started. This article will help you determine if you need a Proof of Concept (PoC), a pilot or a full production instance of the IoT Platform
The more you embed sensors and actuators into physical assets, the more potential you have to change the business models for those physical things. This article will explore the implications of these changes and what they mean in our new "as a Service" world as we progress from purely physical assets to a purely digital ones.
Data is the lifeblood of the Internet of Things. However, there’s a huge difference between having data and using data. That’s why this post explores the value of smarter data. Previously, we talked about the fundamentals of data management. Analytics is the next step in the journey. Not too long ago, IoT meant “connect things […]