AI requires a massive scale of data to learn and improve decision-making processes and big data analytics leverages AI for better data analysis. Learn how algorithms are transforming BIīig data and artificial intelligence have a synergistic relationship.Subfields of AI include AutoML and machine learning, which refers to the use of algorithms to learn and execute tasks without human intervention, deep learning, which uses neural networks to identify complex patterns in high-volume data, cognitive computing, which is used to simulate the functioning of the human brain to solve complex problems, and natural language processing, which helps computers understand and interpret human language. AI also makes augmented analytics tools more powerful and accessible, helping you explore and analyze sprawling, unstructured data to gain greater clarity and understanding of the many factors influencing your business. Examples of AI include speech recognition, such directing virtual assistants like Alexa to perform tasks, image recognition for identification, and autonomous driving. The term artificial intelligence refers to a set of technologies which enable computers to simulate human intelligence.
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