AI GLOSSARY CATEGORY: A

What is AI Solutions? Artificial Intelligence (AI) is a comprehensive classification that includes cutting-edge concepts such as deep learning. In general, AI solutions are all about adapting aspects of intelligence to machines and having them execute tasks that can be natural and straightforward to humans, but extremely complex to program. Moreover, an AI program can […]

What is autonomous? In artificial intelligence and robotics, the term ‘autonomous’ refers to the capacity of an artificial agent to operate independently of human guidance. It is assumed that the agent has a fixed goal or utility function concerning its actions’ appropriateness. The autonomous pattern is complicated as there is a need for the machine […]

What is an algorithm? An algorithm in machine learning is a set of rules or instructions given to an AI program or other machine to help it learn on its own. These algorithms are well-constructed and the backbone of artificial intelligence. They are a step-by-step procedure for calculations. Algorithms are used for data processing and […]

What is Artificial Intelligence? Artificial intelligence (AI) refers to any human-like intelligence exhibited by a computer or machine. It enables machines to learn from experience by adjusting to new inputs and perform human-like tasks. Machines can be trained by processing and recognizing patterns in the large sets of data to accomplish specific tasks using AI. […]

What is AIOps? AIOps stands for the application of ML and AI for IT operations. AIOps platforms combine big data and machine learning functionality to support all primary IT operations functions through the scalable ingestion and analysis of the data generated by IT teams. AIOps platforms help transform the way enterprises operate their IT infrastructure. […]

What is augmented analytics? According to Gartner, “Augmented analytics uses machine learning/artificial intelligence (ML/AI) techniques to automate data preparation, insight discovery, and sharing. It also automates data science and ML model development, management, and deployment.” It includes Natural Language Processing (NLP) and conversational analytics, enabling fewer technical experts such as citizen data scientists to interact […]