Machine Learning is a data analysis process which enables computers to automatically learn without being explicitly programmed. It leverages ML algorithms that can learn from the existing data and use statistical analysis to predict an output.
With the basic aim of equipping computers to learn automatically without human intervention, the learning process is initiated with data such as direct experience, instructions, or examples. This is done to look for patterns in data and make better-informed decisions in the future based on the examples provided.
Over the past decade, Machine Learning has been used to solve enterprise level business challenges. Right from Facebook’s automatic photo tagging, face and speech recognition in smartphones to business intelligence, Google’s predictive search, machine translation, medical diagnosis - machine learning has taken quantum leaps to transform our world.
The unparalleled capabilities of the technology have helped it find applications in various sectors such as healthcare, finance, retail, manufacturing, travel, social media, etc.
Artificial Intelligence technology is evolving today’s machines that just complete tasks into tomorrow’s machines that think, learn and adapt. Extending human capabilities, AI creates machines that comprehend and act to provide freedom from error-prone and mundane tasks. The breakthrough abilities of AI to think and learn and even detect sentiment are equipping organizations to create experiences that are more human.
Machine learning has emerged as a tool that enables organizations to increase top-line growth, optimize processes, improve employee engagement and increase customer satisfaction.
