Machine Learning (ML) is the core of AI which gives applications the ability to learn without being explicitly programmed. Machine Learning applications access the new data and run algorithms on them to learn in order to improve their ability for perfection. Every business is generating a large volume of data each day. With the help of Machine Learning technologies, we can identify a specific pattern or a trigger which in turn unlocks the hidden opportunities or possibilities important to the business. Business leaders are no more taking decisions based on their intuitions, instead, they are depending on the data generated by their businesses for making decisions and deriving conclusions. Machine Learning together with Big Data has created this new era of Data Driven Decision(DDD) making in the world of business.
The possibility of the use of ML application is not just limited to decision making in the businesses but its power can be used everywhere starting from healthcare to customer care. Experts are already using image recognition techniques to identify diseases in the human body from the images taken by medical devices. Possibilities are endless and as a decision maker, you need to identify the right area where ML can be implemented and how a machine learning application can take your business to the next level. This will give you a competitive advantage.
Today, users love to interact with devices/phones in their own voices. Tech giants including Google and Apple are working on speech recognition technologies using Natural Language Understanding (NLU). Through ML and deep learning neural network, we can build the speech recognition module which can be used in different applications. Using open source libraries in voice recognition, we can build a powerful application for your users to make your business more interactive and reachable.
Machine learning technology has enabled developers to develop image recognition applications with perfection. Image recognition has endless possibilities starting from disease detection from scanned images generated by medical devices like X-ray to object detection at the supermarket billing counter. Now business owners can solve various problems like human errors in their businesses by introducing image recognition applications.
We all use emails but are immensely disturbed and irritated by spam emails. The existing spam protection techniques need extensive inputs from users and most of the time, they act as a dump. By machine learning, we can make spam protection app smarter and better. ML-based spam protection app trains itself based on the new spam emails received and it gets better and better with every passing day.
We humans interact in human languages like English but the computer could not understand our language until NLP was introduced. Everyday people generate a large volume of data from various sources starting from social media to the customer care dept. of a company. With the help of NLP, we can process these huge volumes of data and get the insights which were never possible before.
NLG has given developers the opportunity to develop applications which can generate human languages like English from huge computational data. Using NLG, media houses are developing applications which can write news articles after processing huge volumes of data from various sources. This new field is called Robo-journalism.
Virtual Agent is nothing but a software application which interacts with humans like a human being in the human language with emotions and expressions. With the help of NLU (Natural Language Understanding), speech recognition and NLG, Virtual Agent can be built. There are many areas in businesses where Virtual Agent can solve problems with reliability and accuracy.