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..

Latest Feature

Content Everywhere: Disruptive forces in 2025, from AI to ROI and SGAI

Looking back over 2025 to date, it’s clear that AI continues to widen its role in the Content Everywhere ecosystem, and many companies are becoming more discerning about how and where the technology should be applied to streaming and video technology. Clearly, there is still much more to come, and much more to learn, but what have recent developments taught the industry to date?

Read more
Favourites:

Registered users only: Login

Share this:
Other themes: