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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AI and the evolution of MAM: Part one – risk analysis

Forms of AI and automation have been making efficiencies in media asset management (MAM) systems for some time, but as the technology becomes more powerful and its potential applications more expansive, what are the major considerations and risks of AI’s role in MAM? James McKeown explores in the first of a three-part investigation.

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