Internet of Things (IoT) Analytics
Farming practices have much room for improvement thanks to the development of IoT sensors and analytics platforms to help farmers optimize the controllable conditions for crop growth.
Smart buildings and technologies enable businesses to strategically control HVAC, security, lighting and building automation systems to better improve usage costs.
Organizations that adopt connected RPA with AI and cognitive technologies enable them to automate tasks within their businesses, as well as their new and existing applications.
Where data is stored affects both distribution and connectivity. By keeping data in the right type of storage with dedicated private lines, organizations can improve both performance and security.
Organizations may be tempted to jump on the latest bandwagon when it comes to cool technologies such as AI and IoT, but machine learning and IoT analytics must serve a purpose.
Organizations have several methods to manage IoT data in their network to get the most from IoT analytics.
When human beings are removed from decision making processes, it can raise questions about how artificial intelligent reached its conclusions. Access to raw data, transparency and knowledge graphs ...
Energy efficiency is a critical component to a retailer's everyday operations, and IoT sensors and data can help them save on energy consumption and costs.
Organizations can use blockchain and explainable latent features to make AI understandable and push ethical, highly predictive AI technology into production more quickly.
The rise of edge computing means having reliable remote connectivity is more urgent than ever. Organizations must understand how edge computing will process the expanding data pools created by ...