Advanced machine learning, artificial intelligence, and data science will be among the top new technologies shaping business trends through 2017 and beyond, according to Gartner Inc.
Machine learning is a type of artificial intelligence (AI) providing computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.
The process of machine learning is similar to that of data mining. Both systems search through data to look for patterns. However, instead of extracting data for human comprehension -- as is the case in data mining applications -- machine learning uses that data to detect patterns in data and then adjust program actions accordingly.
AI and machine learning (ML) - which include technologies such as deep learning, neural networks, and natural-language processing - can also encompass more advanced systems which understand, learn, predict, adapt, and potentially operate autonomously.
Systems can learn and change future behavior, leading to the creation of more intelligent devices and programs. The combination of extensive parallel processing power, advanced algorithms, and massive data sets to feed the algorithms, has unleashed this new era.
Today, image recognition by machines trained via deep learning is better than humans in many scenarios. That recognition ranges from scans to identifying indicators for cancer in blood to tumors in MRI scans.
Organizations seeking to drive digital innovation with this trend should evaluate a number of business scenarios in which AI and machine learning could drive clear and specific business value.