AI is expected to cross $13 billion by 2028.

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AI spending is expected to exceed $13 billion by 2028, with the spread falling equally in analytics, development/delivery and customer experiences such as personalization and discovery, media analysts announced at a Series Mania presentation on Thursday. will go

However, analysts don’t expect an end to the content creation that has highlighted so much AI coverage of late.

Leading a day-long series of panels that tackled these two nagging voices on everyone’s mind from an industry perspective, the research directors of Omdia and Plum Research sought to provide context instead. – To overcome fear and misunderstanding by developing machine learning as a tool. as a weapon.

“AI will not replace humans,” said Maria Rua Aguete of Omdia, echoing a common refrain. “But humans who know how to use AI will replace those who don’t, because they will be more efficient, more creative and [better] is ready.”

Clearly, a much less anticipated use case involved OpenAI’s text-to-video generator Sora. Both analysts offered a more nuanced view of the recently introduced model, pointing out the strengths and weaknesses of a tool they predicted would be used in short-form film and television productions. More useful for advertising, web clips and test videos. Production in terms of quality and reliability.

Instead, Plum Research’s Jonathan Broughton cites concrete ways generative learning can simplify and support workflows in storyboarding and production, while 3D models can better facilitate location scouting and lighting tests. Through the actual production, the analyst saw more uses for the tech in live sports due to AI’s ability for object tracking and real-time predictions.

If anything, the post-production sector should see the most pronounced impact, as auxiliary tools – and not creative – gain more importance in image grading, color accuracy and frame rate enhancement, while real-time dubbing and Captioning technology is more accurate and cost-effective than ever before. – Effective.

“In terms of business, AI will be really useful for making the unreachable accessible and solving the problems we face with talent. [shortages]Broughton explained.[Which means that] The main challenge at the moment is on the management side. It’s up to business leaders to figure out how to deploy it in their organizations and create processes within existing workflows.”

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