How AI is transforming content creation, streaming, and audience engagement across media and entertainment.
Use Cases16
Companies15
Tools34
AI Use Cases in Media & Entertainment
1
How MrBeast Uses Salesforce Agentforce to Power 1M-Player AI Puzzle Experience
MrBeast · Marketing
1M+
Players who engaged with AI agent
1M+Players who engaged with AI agent
2
How Beast Industries Used Agentforce to Power a 1M-Player Super Bowl Puzzle Hunt
Beast Industries
1 million+
Players who relied on Slackbot’s guidance
1 million+Players who relied on Slackbot’s guidance
3
How Scribd Cut GenAI Costs 90% and Boosted Sign-Ups with Databricks
Scribd · Product Development
90%
Reduction in GenAI operating costs
90%Reduction in GenAI operating costs
4
How Luminate Uses Snowflake to Deliver Billboard Chart Data 334% Faster
Luminate · Business Intelligence
334%
Daily processing speed increase
334%Daily processing speed increase
5
How Luminate Achieved 334% Faster Data Processing with Snowflake
Luminate · Business Intelligence
334%
Increase in daily data processing speed
334%Increase in daily data processing speed
6
How Omnicom Built an AI Marketing Platform on AWS Cutting Costs 90%
Omnicom · Marketing
90%
Compute infrastructure cost reduction
90%Compute infrastructure cost reduction
7
How VideoAmp Saves 90% in Costs and Achieves 10x Performance on Snowflake
VideoAmp · Business Intelligence
90%
Cost Reduction
90%Cost Reduction
8
How Class Editori Built MFGPT, Italy’s First Generative AI Media Agent
Class Editori · Marketing
One of Italy’s first AI agents in the media landscape
MFGPT launch milestone
One of Italy’s first AI agents in the media landscapeMFGPT launch milestone
9
How Omnicom Uses AWS to Cut Infrastructure Costs 90% and Build an AI-Powered Marketing Platform
Omnicom · Operations
90%
Reduction in compute infrastructure costs
90%Reduction in compute infrastructure costs
10
How UOL Uses Elastic AI to Cut Security Incident Resolution Time by 80%
UOL Group · Operations
80%
Incident resolution time reduction
80%Incident resolution time reduction
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Popular AI Models in Media & Entertainment
GPT-4
OpenAI's GPT-4 large language model for general-purpose text generation and reasoning.
Popular AI Tools in Media & Entertainment
Amazon Bedrock
Fully managed service for accessing foundation models from leading AI companies via AWS.
Snowflake
Cloud data warehouse by Snowflake for storing, querying, and sharing structured and semi-structured data.
Amazon SageMaker
Managed machine learning service for building, training, and deploying ML models in the cloud.
Amazon Redshift
Cloud data warehouse optimized for running fast SQL analytics on large datasets at scale.
Snowflake Cortex AI
Built-in AI and ML capabilities within the Snowflake Data Cloud
Salesforce Agentforce
Platform deploying autonomous AI agents for customer service, sales, and employee tasks across Salesforce.
Databricks Unity Catalog
Unified governance layer for managing access, lineage, and quality of data and AI assets across a lakehouse.
Databricks Agent Bricks
Framework for building, evaluating, and deploying domain-specific AI agents on a lakehouse platform.
Databricks
Unified data analytics and AI platform built on Apache Spark for lakehouse architecture, ML, and generative AI workloads.
Snowflake Snowpark
Framework for running Python, Java, and Scala code natively within Snowflake for data engineering and ML pipelines.
Popular AI Tooling Categories in Media & Entertainment
1
Data Platform
Platforms for storing, processing, and managing structured and unstructured data, including data warehouses, lakehouses, and data pipelines.
2
ML Platform
Platforms for building, training, deploying, and governing machine learning models, including ML orchestration, model serving, and AI development environments.
3
AI Assistants
AI tools that help employees or customers accomplish tasks through natural language — answering questions, resolving requests, and surfacing knowledge proactively.
4
Large Language Models
AI tools that generate, understand, and reason with natural language, including foundation models, instruction-tuned LLMs, and multimodal models.
5
Agentic Management
Platforms for orchestrating and managing autonomous AI agents that execute multi-step workflows across systems without continuous human input.
6
Developer Tools
Platforms and tools that accelerate software development, including AI coding assistants, CI/CD pipelines, and developer environments.
7
Cloud Infrastructure
Cloud services and infrastructure for compute, storage, networking, and container orchestration that underpin modern AI applications.
8
Business Intelligence
Platforms that help organizations visualize, analyze, and report on business data through dashboards, self-service analytics, and automated insights.
9
Security
AI tools for detecting vulnerabilities, protecting endpoints, scanning code for security issues, and preventing fraud in enterprise environments.
10
See all Categories →CRM & Sales
AI tools for managing customer relationships, automating sales workflows, and unifying customer data across touchpoints.
Industry Overview
Avg. Company Size
SmallMid-sizeEnterprise
Industry Overview
Avg. Company Size
SmallMid-sizeEnterprise
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