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Edge Computing: An Overview

Edge computing (EC) allows data generated by the Internet of Things (IoT) to be processed near its source, rather than sending the data great distances, to data centers or a cloud. More specifically, edge computing uses a network of micro-data stations to process or store the data locally, within a range of 100 square feet. […]

2022: The Dawn of Next-Gen Conversational AI?

The 2021 tech world was as busy as it has ever been, thanks to the continued challenges presented by the COVID-19 pandemic. And this is particularly true for conversational AI. From insurance to retail, businesses are doubling down on their technology investments and broader digital transformation efforts as they try to adapt to the expectations […]

A Brief History of the Internet of Things

Simply stated, the Internet of Things consists of any device with an on/off switch that is connected to the Internet. The Internet of Things (IoT) involves machines communicating information over the internet, and has not been around for very long. Machines have been providing direct communications since the telegraph (the first landline) was developed in […]

Cumulocity, IoT, and Analytics

Today, all of our digital devices and sensors are interconnected in the Internet of Things. My company has built an extension for the KNIME Analytics Platform that enables you to connect to Software AG’s Cumulocity IoT platform so that you can use the more advanced analytics provided by KNIME on your Cumulocity data. The concept behind the Cumulocity platform […]

Data Fabric vs. Data Mesh

In the hyper-connected world of the cloud and the Internet of Things (IoT), every computing network device is connected to another through a complex, interconnected network. This poses a serious challenge to future Data Management, as the ultimate goal of Data Management is the sharing of business data across disparate platforms and technologies. This article […]

What Is Data Cleansing?

Data cleansing (aka data cleaning or data scrubbing) is the act of making system data ready for analysis by removing inaccuracies or errors. This process prevents questionable and costly business decisions based on messy data.  Data volumes and sources have grown much bigger and are expected to scale up even quicker. Companies wish to access […]