AI spending is expected to peak at more than $13 billion by 2028, with spreads falling almost evenly across customer experiences such as analytics, development/delivery, and personalization and discovery, media analysts said Thursday. It was announced at the series mania presentation.
But analysts are not predicting the content creation apocalypse that has highlighted much of the recent AI coverage.
At the start of a day-long series of panels confronting those two thorny vowels on everyone’s minds from various industry perspectives, research leaders from Omdia and Plum Research instead talked about machine learning as just a tool. By capturing, we sought to provide context to allay fears and misunderstandings. As a weapon.
“AI will not replace humans,” said Omdia’s Maria Rua Aguete, echoing a common refrain. She added, “But humans who know how to use AI will be replaced by humans who don’t know AI. They’ll be more efficient, they’ll be more creative, and they’ll be more creative. [better] Got ready. “
Obviously, few of the anticipated uses involved OpenAI’s text-to-video generator Sora. Two analysts were more optimistic about the recently launched model, citing the tool’s strengths and predicting it would be more useful for short-form ads, web clips, and test videos than for film and television production because it is difficult to control. Pointed out the shortcomings. Output in terms of quality and reliability.
Instead, Plum Research’s Jonathan Broughton cited specific ways in which 3D models can make location scouting and lighting testing easier, while generative learning can facilitate and support storyboarding and previs workflows. Through actual production, analysts believed that the technology would be used even more in live sports, given AI’s aptitude for object tracking and real-time predictions.
Rather, in the post-production field, assistive rather than generative tools become more prominent in image grading, color correction, and frame rate enhancement, while real-time dubbing and captioning techniques become increasingly accurate and costly, making the most noticeable impact. you should see. -effective.
“From a business perspective, AI is going to be very helpful in making the inaccessible accessible and solving the problems we have with talent. [shortages]” Broughton explained. “[Which means that] The main challenge now is on the management side. It is up to business leaders to understand how to implement this within their organizations and create processes within their existing workflows. ”
