Artificial Intelligence / Machine Learning ( AI/ML )
Overview
Artificial intelligence and machine learning technologies are not new. Derived from available literature, following are the most commonly accepted definitions.
Artificial Intelligence (AI) is the field of computer science that is broadly used to refer to any algorithms, methods, or technologies that make a system act and/or behave like a human and includes machine learning, computer vision, natural language processing, cognitive, robotics, and related topics.
Machine Learning (ML) focuses on the development of computer programs that can access data and use it as learning material for themselves. Machine Learning is a technique within the field of Artificial Intelligence that provides systems the ability to learn automatically and improve from experience without being programmed. In another words, Machine Learning is the application of AI techniques using statistical methods that enable machines to improve correlations as more data is used in the model, and for models to change over time as new data is correlated. Machine learning evolved from the connectionist theory of human cognition, pattern recognition, and computational learning theory. Approaches include neural networks and deep learning.
Why Learn AI/ML?
Companies are generating/capturing far more data now than ever before, making it impossible to rely solely on human decision making. The AI/ML technology can advance insights from petabytes worth of structured and unstructured data by significantly accelerating the assessment, clarification, and synthesis of data.
AI has the potential to help comapnies improve operations and information security and thus operate more effectively. AI’s potential stems from its ability to increase the value of a company’s information assets by enabling more data to be analyzed more quickly and more robustly and providing workforce with enhanced analytic tools and assistants.
Our courses for mangers/executives and practioners (i.e. developres) are designed to meet this requirement and has applications for various areas of management including Economics & Finance, Marketing, Operations, Strategy, Leadership, Information System (IT) and many more.