Google Cloud for Media & Entertainment provides a unified cloud platform that leverages groundbreaking multimodal AI models and Google-quality search to streamline content production and personalize audience experiences. It is the first hyperscale office suite to achieve TPN Gold+ Certification, ensuring robust content protection for valuable intellectual property. The platform supports a specialized ecosystem of media partners and offers agentic solutions to accelerate innovation, as seen with customers like Grupo Globo and TelevisaUnivision.
Creates a 360-degree view of the customer, unleashing rich insights to drive precise personalization, increase conversions, and improve marketing and campaign performance.
Personalize audience experiences with real-time recommendations and more relevant search results.
Automates tasks like code generation, troubleshooting, and testing.
Accelerate the delivery of personalized consumer experiences with AI for marketing.
Transforms customer and agent interactions, providing personalized, human-like engagement that enhances user satisfaction, builds trust, and expands global reach by enabling agents to respond to inquiries in any language.
Allows creatives to augment and automate content creation with adaptation, insights, and summarization.
Automates and streamlines the production of captions, subtitles, and dubbing, making it easy to adapt content for global audiences.
Create new revenue streams, modernize legacy formats and save time by migrating media assets from analog or digital sources.
Deliver superior live experiences to audiences by enabling low-latency service launches with minimal setup time.
Enables virtualized post-production and rendering, empowering teams to collaborate quickly, seamlessly, and more securely across the globe, while minimizing costs and complexity.
Enhances real-time streaming quality by enabling efficient content pipeline management, reliable and scalable distribution, and personalized dynamic content, ultimately helping media companies reach and monetize global audiences across web, mobile, and connected TVs.
Content understanding is improved through automated classification of content, chapters, scenes, and shots, allowing for increased monetization by optimizing ad breaks and enabling contextual ad targeting, while also providing faster automation for content moderation, quality control, and compliance.
Allows companies to instantly search millions of video assets using AI, leveraging natural language queries to discover archival content for future production, monetize underutilized assets, and save valuable time.
Brings live baseball action to fans around the globe with Media CDN.
Manages risk across the entire AI lifecycle, with built-in Model Armor and Sensitive Data Protection to help prevent prompt injection and data exfiltration attacks, while cloud-native AI policies ensure a consistent control plane for all workloads.
Employees gain faster access to information through Google-powered search across applications, improved decision-making via multimodal reasoning, and enhanced outcomes as agents handle tasks, freeing up employees to focus on more strategic work.
Groundbreaking Google AI model that upscales and expands cinematic content.
Groundbreaking Google AI model that upscales and expands cinematic content.
Empower teams with Gemini to improve productivity and business outcomes, understanding not just words but also images, videos, and sounds.
A unified platform to deploy AI agents and experiences quickly and securely.
Thomas Kurian
Chief Executive Officer
Google Cloud has launched the Developer Device Platform (DDP) in public preview, providing on-demand access to physical devices and emulators for mobile application testing. The platform includes agentic AI capabilities for automated UI testing, debugging, and performance optimization across diverse hardware profiles.
Google Cloud has introduced history-based optimizations and advanced runtime features for its BigQuery platform to support high-concurrency agentic AI workloads. These updates aim to reduce query processing costs and improve latency through autonomous performance tuning, including support for native and open lakehouse formats like Apache Iceberg.
Google has moved AlphaEvolve, a Gemini-powered agentic coding tool for algorithm optimization, from early access to general availability on its Enterprise Agent Platform. The platform is designed to assist businesses in complex tasks like supply chain optimization and performance scaling for software and ML training pipelines.
Google Cloud has announced that users can now self-deploy proprietary AI models from partners such as Mistral AI and CAMB.AI within their own Virtual Private Cloud (VPC) on Vertex AI. This update allows streaming and tech enterprises to run closed-source models for various tasks, including multilingual text-to-speech, while maintaining data sovereignty and VPC security policies. The models are available through the Vertex AI Model Garden, offering a curated catalog for discovery, testing, and deployment.
Google Cloud announced the deprecation of Vertex AI Search and Conversation SKU groups, which include services like Media Search API and Dialogflow CX. These changes primarily impact how streaming platforms manage costs and reference contracts for AI-driven metadata indexing and request counts. The update affects various services related to AI search, conversation, and media intelligence.
Google Cloud has launched graph algorithms in preview for Spanner Graph, enabling users to perform real-time centrality, community detection, and similarity analysis using ISO GQL. This allows for deeper insights into connected data, with applications ranging from fraud detection to hyper-personalized recommendations without complex ETL pipelines. Streaming platforms like SoundCloud are leveraging these capabilities for music recommendations and identifying creator hubs.
Google Cloud discusses the concept of AI-native databases, which are designed to manage high-dimensional vectors and unstructured data such as video and audio. These databases facilitate streaming-related functions like semantic search for media platforms and rapid anomaly detection through vector embeddings. The article details how AI databases are evolving to better handle the unique demands of AI applications within the cloud.
Google Cloud has announced the general availability of its Nano Banana 2 (Gemini 3.1 Flash Image) and Nano Banana Pro (Gemini 3 Pro Image) models via the Gemini Enterprise Agent Platform. These generative AI models for image generation and editing now include a preview feature for Nano Banana 2 that supports video files as an input prompt to generate context-aware images, thumbnails, and infographics. Customers like Adobe, WPP, Shopify, and Magnopus are already integrating these models to enhance creative workflows and media production.
Google Cloud has released a new report detailing the top five trends in agentic AI that are expected to transform the media and entertainment industry by 2026. The report is available for download and focuses on the use of AI agents within this sector.
Paramount+ developed its streaming platform utilizing Google Cloud services, initially building on GKE. The platform now incorporates a variety of Google Cloud offerings, with plans to integrate generative AI capabilities. This establishes Google Cloud as a critical infrastructure partner for a major streaming service.
