Machine Learning

Every year, a large number of new technological devices are discovered. Despite the fact that these devices are extremely beneficial to people, they do have some limits that they cannot transcend.
NLP is the technique of using algorithms to discover and obtain natural linguistic knowledge from unorganized language input so that computers can interpret it.
Bots are being used massively in the industrial arena and more often, in the retail sector as of today. Soon enough, bots will be heavily deployed to tackle consumers and generate a breakthrough in the field of automation.
Digital Operations toolbox enables the advanced technologies to deal with each level of the automation process, including finding, examining, designing, measuring, calculating, and automating the process.
Satellite imaging data obtained due to machine learning is an invaluable resource for addressing several problems. These problems can be as diverse and essential as assessing the effects of global warming, forecasting agriculture yields, etc.
In the next years, the usage of chatbots for business is anticipated to grow. Read about the eight most innovative chatbots available on the web.
Find out the real reason why you just can’t stop binge-watching Netflix and How it converts data into billions in revenue every year (Your Data!).
Using data annotation, companies can train their machine learning models with the right tools and techniques. Read to learn more about data annotations.
Alexa is getting smarter all the time. Learn about how it works and the advancement of machine learning in making conversational AI smarter.
Artificial intelligence and Machine learning are making sweeping changes in the technological world and are always making a buzz in the tech industry. Companies are using both the terms as synonyms to create hype around their products and brands but they are doing it all wrong.