All 'AI Insights' articles

How to automate visual quality inspection, with Waylay ML ops

Images captured by cameras in industrial sites can be used for visual inspection in a variety of use cases, from improved quality assurance to better worker safety or optimised maintenance procedures, among others. In this post we'll have a look at a quality inspection demo-case,…
5 mins read

The impact of COVID-19 measures on Belgian traffic and air quality

Throughout the whole of last year (2019), we used multiple open data sources to collect data such as highway traffic, air quality, weather, bike rental, car sharing and public transport data, parking space occupancy and much more. It was part of a smart mobility project…
6 mins read

Waylay ML ops: Use machine learning models in live data automation flows

Waylay ML Ops enables customers to effectively operationalize any machine learning algorithm with the Waylay rules engine. Waylay ML Ops is for data scientists, analysts and engineers that are working on data solutions involving ML model training. Once an ML algorithm is trained and ready…
3 mins read

Hyperautomation is the number one Gartner technology trend of 2020: what does it mean for IoT?

Why is hyperautomation important in the context of the Internet of Things? Gartner has recently released their top ten technology trends for 2020 and hyperautomation is number one. How is hyperautomation different from regular automation and why should IoT solution architects consider hyperautomation when designing and building…
3 mins read

How to optimise the production yield in precision fish farming. A use case for time series analytics

Time Series Analytics (TSA) is a set of statistical methods to analyse time-series data in order to extract relevant patterns to help predict future behaviour. Waylay offers a powerful Time Series Analytics Module that automates much of the data science tasks behind TSA and enables users to…
4 mins read

Introduction to Waylay Time Series Analytics. Using offline data analysis in live automation flows

IoT data from connected products not only provides business value in real-time but also offline, as historical data is analysed to understand usage and detect and predict anomalies. At Waylay, we already provide an ETL service and a BI service to help our customers take advantage of historical IoT…
4 mins read

Waylay ETL: the first step in exploring the rich after-life of IoT sensor data

Real-time data is central to Internet of Things applications, which deal with event-based, machine-generated data, flowing in uninterrupted streams into various IoT systems. The Waylay platform is one such system, that was built with a strong focus on real-time data acquisition, real-time orchestration and real-time…
4 mins read

The hidden powers of IoT analytics. Part 2: Getting the IoT data ready for advanced analytics

Waylay provides a flexible orchestration platform for the IoT, with a strong focus on real-time data acquisition, orchestration and rule-based actuation. Complementary to real-time data processing, access to historical data for offline analytics has an important role in an overall IoT solution. We explained this…
2 mins read