The future is artificial: AI adoption in broadcast and media

Artificial intelligence is just at the start of its adoption curve, according to research conducted by the IABM.

Artificial intelligence (AI) is a branch of computer science that aims at creating intelligent technology capable of replicating human learning and problem solving skills.

Machine learning (ML) and deep learning (DL) can both be considered as sub-sets of the wider AI field.

ML, an early application of AI, provides computer systems with the capability to learn from data without being programmed.

DL is a further development of ML enabling computer systems to imitate the workings of the human brain in problem-solving. The advent of DL can be traced back to the emergence of Artificial Neural Networks - a system of hardware and/or software modelled to mimic neurons’ interconnections in the human brain.

AI was once confined to science fiction. Its history has been characterised by boom and bust cycles similar to the workings of a modern economy. The “booms” have generally entailed a rise in expectations and optimism with regards to AI research while the “busts” have abruptly exposed..

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Content Everywhere companies drill down on agentic AI

This year’s IBC saw plenty of discussion about the practical applications of generative and agentic AI. This was particularly evident on the AWS stand in Hall 5, where a third of the demos by partner companies were described as agentic AI-driven. This month’s issue provides Content Everywhere companies with the opportunity to explain where and how they are using agentic AI, and how they see it evolving in future.

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