APIs, or application processing interfaces, are packages of code critical to AI functionality in products and software. They can add more value to AI capabilities with descriptions, and call outs. The future of AI is marked with a race against time, as man strives to make machines more intelligent than humans! What was a fascinating aspect of science fiction has now become the most powerful technology disruptive everyday processes in industries and businesses, and human touchpoints? With continuous breakthroughs in AI research, across domains and use cases, AI is being implemented by one company after another, at a breakneck speed. Thus, AI is based on several disciplines that contribute to intelligent systems – mathematics, biology, logic/philosophy, psychology, linguistic, computer science, and engineering. You need to have a certain level of expertise in math, probability, statistics, algebra, calculus, logic, and algorithms.

The 11th edition of the Digital Transformation Review will be launched soon and it focuses on Artificial Intelligence (AI). AI has received significant bad press so why should we pay attention?.

Artificial Intelligence, or AI, has come a long way since its inception in 1956. Simply put, AI refers to the theory and development of computer systems that are able to perform tasks that usually require human intelligence. This infographic from Solvvy highlights the key drivers, explains the branches and traces the evolution of AI.