Ergodicity In The World Of IoT

1 mainErgodicity is one of the most important concepts in statistics. More importantly, it has a lot of real world applications. In this case, it’s applicable to the staggering number of internet connected devices in the world of Internet of Things (IoT). Most of the experiments conducted by research labs, businesses, and marketing agencies often rely on statistics to compile the results. This can be about a set of customers, voters, viewers, or any other segment. Ever wondered why the results are often inaccurate? One of the main reasons is the underlying assumption about ergodicity. What exactly is it?   Continue reading

Undestanding IoT Gateways

1 mainThe Internet of Things (IoT) ecosystem is rapidly expanding. Some analysts predict that there will be around 50 billion connected devices by 2020. If you are new to IoT, it refers to the collective ecosystem of devices that are connected to the internet. These devices can be sensors, actuators, health monitors, meters, and so on. What did people do before IoT? Well, they had devices that weren’t connected to the internet. Hence it was difficult to monitor and analyze data in real time. This meant that people were leaving a lot of interesting data unused, which directly translates to lost revenue of billions of dollars. By connecting all the devices to the internet, we are enabling ourselves to take actions in real time. It’s obvious that device connectivity is a really important aspect in IoT. How do we ensure connectivity? How can we enable low cost hardware devices to communicate with the cloud without expensive processors?   Continue reading

Estimating The Predictability Of Time Series Data – Part II

1 mainIn the previous blog post, we discussed various types of time series data. We understood the concepts of stationarity and shocks. In this blog post, we will continue to discuss how we can estimate the predictability of time series data. People say that future is unpredictable. But that’s grossly reductive! What they actually mean to say is — I’m blindly assuming that my time series data is non-stationary, so I cannot accurately predict what’s going to happen in the future. Predicting future values can open a lot of doors in the Internet of Things (IoT) ecosystem. Before we can forecast future values, it’s important to determine if the time series data exhibits any properties that can be modeled. If not, we are just dealing with chaos and no model will be good enough. But a lot of data in the real world exhibits patterns, so we just need to look at it the right way. Let’s see how we can check if the given time series data has any underlying trends, shall we?   Continue reading

Estimating The Predictability Of Time Series Data – Part I

1 mainTime series data refers to a sequence of measurements made over time. The frequency of these measurements are usually fixed, say once every second or once every hour. We encounter time series data in a variety of scenarios in the real world. Some examples include stock market data, sensor data, speech data, and so on. People like to build forecasting models for time series data. This is very relevant in modeling data in the world of Internet of Things (IoT). Based on the past data, they want to predict what’s going to happen in the future. Once of the most important questions is to see whether or not we can predict something in the first place. How do we determine that? How do we check if there are underlying patterns in the time series data?   Continue reading

Understanding The Industrial IoT Technology Stack

1 mainInternet of Things (IoT) has emerged as one of the hottest trends in the technology world. It has the potential to radically change the way we experience life. It will particularly have a huge impact on the industrial world where we have to deal with massive machines, buildings, and open fields. Industrial technologies have direct impact on some of the most pressing problems facing humanity like water shortage, energy consumption, infrastructure management, and so on. When we apply IoT methodologies to the industrial world, it is called Industrial IoT. There has been a lot of discussion as to what exactly is it. Is it a technology? Is it a collection of things? More importantly, there has been a lot of misinformation around it. Let’s go ahead and dissect it, shall we?   Continue reading