Content Redefined – Generative Artificial Intelligence (AI) Meets Media
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Generative Artificial Intelligence (AI) in Media Report Overview
GenAI has the potential to revolutionize the media value chain by enhancing content creation, improving distribution strategies, personalizing user experiences, and optimizing monetization efforts.
The Generative Artificial Intelligence (AI) in Media research report delves into the vast realm of opportunities that generative AI brings to media. The report provides innovation insights and examples by generative AI use cases in the media sector to present key trends.
Key Use Cases | · Image
· Text · Audio · Video · 3D/Design · Others |
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Generative AI Use Cases in Media
GenAI empowers media companies across diverse application types, enabling creativity and efficiency in campaign creation, programmatic advertising, content recommendation, sports commentary, and virtual content generation. The key use cases for generative AI are Image, Text, Audio, Video, 3D/Design, and Others.
Image: This includes image generation, image editing, image enhancement, and image translation. For instance, the text-to-image model Imagen is an AI system that generates highly realistic images based on textual inputs. The integration of Imagen into Omnicom’s open operating system Omni can empower over 17,000 trained and certified users to utilize Omni’s audience intelligence and campaign workflow to generate personalized images, assess their impact, and execute and track campaigns.
Text: This includes content generation, content marketing, content moderation, language translation, and text summarization. For instance, Microsoft has introduced a GenAI-powered service that generates headlines and descriptions for ad campaigns. This service is part of a suite of new features that includes auto-generated assets and IF functions for responsive search ads (RSAs).
Audio: The audio use case involves audio generation, speech synthesis, and voice cloning among others. For instance, Meta has released MusicGen, an open-source deep-learning language model that can generate original music based on text prompts and synchronize with existing songs.
Video: The video use case involves video generation, video enhancement, and video cloning among others. For instance, AI video startup Rephrase.ai has developed a GenAI technology that can create realistic and customizable human videos. The technology was developed as part of the Comcast NBCUniversal LIFT Labs Accelerator, powered by Techstars.
3D/Design: This includes 3D animation, 3D asset generation, and 3D model generation among others. For instance, US-based startup Stability AI has developed the Stable Animation SDK, an innovative tool that utilizes genAI models to create animated videos based on text prompts. By leveraging the power of Stable Diffusion and Stable Diffusion XL models, the AI generates a sequence of images that give the illusion of motion, replicating the process of animation.
Others: This case includes sports commentary, NFT development, and campaign creation among others. For instance, IBM and the All-England Lawn Tennis Club have collaborated to enhance the Wimbledon digital fan experience with new features for this year’s championships. These features leverage AI technologies including GenAI to provide enhanced commentary and analysis for fans.
GenAI Use Cases with Key Media Application Categories
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Scope
Innovation Insights: innovation examples by generative AI use cases in the media sector to present key trends.
Key Highlights
Innovations: Presents real-world innovation examples related to the generative AI use cases in the media sector. It casts light on how media sector players are utilizing generative AI technology across key sector-specific application areas.
Reasons to Buy
- No surprise that technology has been a driving force in business transformation for years, but the term ‘emerging technologies’ has all of a sudden become the key catalyst to drive the next wave of innovation across sectors.
- The sense of urgency weighs differently across different sectors, where the direct customer-facing sectors are at the forefront compared to other capital-intensive sectors. Companies in one sector can take cues from successful innovations in other sectors to either draw analogies with existing products, services, and processes or transfer strategic approaches for a revolutionary transformation.
- Against this backdrop, enterprises need to understand which emerging technologies are impacting their sector and how various companies are implementing them to meet various challenges.
- The innovation landscape report on media innovations in generative AI, published by GlobalData as part of an ongoing series, covers some real-world examples to advance the development and implementation of the technology by some of the key enterprises in the media sector.
Alibaba
Altered Studio
Andi
BBDO
BENlabs
Brandtech
Brave Search
Buzzfeed
Captions
Charter Communications
ClipDrop
Cloudinary
Coqui
Craiyon
Deepdub
D-ID
Didimo
Disney
ElevenLabs
Gannett
Gray Television
Harmonai
Hearst Communications
HitPaw
Hootsuite
IBM
iHeartmedia
Init ML
Intel
Jasper
Kaiber.AI
Kinetix
Latitude
LG
Lilt
Ludo
MARZ
Meta
Metaphysics
Microsoft
Midjourney
MoNA Gallery
Moonlander
Movework
Narrato
Netflix
NFT Tech
NVIDIA
Omnicom
OpenAI
Pepper Content
Picsart
Poly Corporation
PromptPal
Publicis
Rephrase.ai
Resemble AI
Roblox
Roll Camera
Runway
Sensory
Seyhan Lee
Shutterstock
Sonix
Soundraw
Spectrum Labs
Spectrum Reach
SpeedyBrand
Splash
Spotify
Stability AI
Supernormal
Synthesis AI
Tailwind
Tavus
Tencent Cloud
Universal Music Group
VanceAI
Versed
Vimeo
Waymark
Wochit
Wombo
WPP
YouTube
Table of Contents
Frequently asked questions
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How can Generative AI help in developing the media market?
GenAI has the potential to revolutionize the media sector by enhancing content creation, improving distribution strategies, personalizing user experiences, and optimizing monetization efforts.
-
What are the leading Generative AI use cases applied in the media market?
The key use cases for generative AI in the media sector are Image, Text, Audio, Video, 3D/Design, and Others.
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What is MusicGen, launched by Meta?
Meta has released MusicGen, an open-source deep-learning language model that can generate original music based on text prompts and synchronize with existing songs.
-
Why have IBM and the All-England Lawn Tennis Club collaborated?
IBM and the All-England Lawn Tennis Club have collaborated to enhance the Wimbledon digital fan experience by leveraging AI technologies including GenAI to provide enhanced commentary and analysis for fans.
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