Artificial intelligence (AI) helps improve predictive analytics, sales forecasting, customer needs, process automation and security systems. The concept of artificial intelligence or machines that aim to emulate human thinking is undergoing vigorous research and is a topic that is increasingly being associated with the Internet of things. An AI enabled IoT system extends the functionality and value of an organization's offering, without the need for committing additional resources to achieve the increased value. This is exemplified by under Armour(UA) and IBM's collaboration on the UA Record app, which is an AI-based personal fitness coaching system, that uses a variety of sensor data to suggest highly personalized, context-relevant fitness activities to users. Such applications of AI are going to be more commonplace in the future as they are already having a significant impact on many industries.

Machine learning is a method of data analysis that automates the creation of analytical models. It is a discipline of Artificial Intelligence based on the concept that systems can learn from data, identify patterns and make decisions without or with minimal human intervention. As data is constantly being produced, machine learning solutions adapt autonomously, learning from new information as well as from previous processes. Most companies that handle big data are recognizing the value of machine learning (for example, industrial learning, which obtains information from sources as diverse as the Internet of Things, sensors, etc.). If you want to get the most out of your business data and automate processes like you have never imagined before, now is the time to apply a machine learning strategy in your organization.

Due to its deep learning and independent decision-making capabilities, artificial intelligence (AI) is expanding in different business areas. The concept of artificial intelligence or machines that aim to emulate human thinking is undergoing vigorous research and is a topic that is increasingly being associated with the Internet of things. An AI enabled IoT system extends the functionality and value of an organization's offering, without the need for committing additional resources to achieve the increased value. This is exemplified by Under Armour(UA) and IBM's collaboration on the UA Record app, which is an AI-based personal fitness coaching system, that uses a variety of sensor data to suggest highly personalized, context-relevant fitness activities to users. Such applications of AI are going to be more commonplace in the future as they are already having a significant impact on many industries.

Machine Learning (ML) is expected to bring heavy changes to the world of technology. Machine learning is a subfield of artificial intelligence and computer science that allows software applications to be more accurate in predicting results. The prime objective of machine learning technology is to build algorithms that can get input data and leverage statistical analysis to predict an acceptable output value. Machine learning defines a new form of software development, where computers, gadgets and other devices that are essential to develop a software don't need special programming to get done tasks. Instead, they can gather and analyze information that is required to derive relevant outcomes and learn during program performance.