In an era where intelligent experiences define business success, Zoom—a global leader in unified communications—has taken a major leap forward by integrating Snowflake Cortex into its data and AI strategy. With the rising demand for real-time collaboration and smarter automation, Zoom is using Snowflake Cortex to build scalable, secure, and enterprise-grade AI applications across its platform.
This article explores how Zoom is leveraging Snowflake Cortex to drive innovation, scalability, and personalized user experiences powered by artificial intelligence.
🎯 The Challenge: Scaling AI in a Real-Time Communication Ecosystem
Zoom handles billions of interactions daily across video calls, webinars, chat, whiteboards, and third-party integrations. To enhance user experiences, the company sought to:
- Build intelligent assistants for meeting summaries, note-taking, and action items
- Ensure real-time data processing across geographies
- Maintain security, privacy, and governance at enterprise scale
- Deploy AI quickly across diverse use cases without reinventing the wheel
Traditional AI pipelines posed scalability, performance, and compliance limitations. Zoom needed a modern AI stack built for speed, scale, and trust.
☁️ The Solution: Snowflake Cortex + Zoom’s Data Strategy
Snowflake Cortex, a set of serverless LLM and vector search capabilities, enables organizations to rapidly build and scale AI applications natively within the Snowflake Data Cloud.
Why Zoom Chose Snowflake Cortex:
- Serverless simplicity: Deploy AI features without managing infrastructure
- Native LLM integration: Access to powerful foundational models with minimal setup
- Unified governance: Leverage Snowflake’s robust data security and privacy controls
- Scalable architecture: Handle AI workloads across millions of users seamlessly
By combining Cortex with their centralized data platform in Snowflake, Zoom was able to move from prototypes to production-grade AI solutions at speed.
🤖 AI Use Cases Zoom Enabled with Cortex
1. AI-Powered Meeting Summaries
Zoom uses LLMs via Cortex to automatically generate meeting notes, key points, and action items in real time—saving time and increasing productivity for users.
✅ Benefit: Enhanced meeting productivity and seamless knowledge capture.
2. Context-Aware Chatbots and Assistants
By using vector search in Cortex, Zoom developed chat assistants that understand context from past conversations and documents to answer questions intelligently.
✅ Benefit: Smarter, more human-like user interactions across the platform.
3. Real-Time Transcription and Translation
Leveraging low-latency AI processing, Zoom delivers live captioning and multilingual translations, improving accessibility for global users.
✅ Benefit: Inclusive communication experiences across languages.
4. Content Moderation and Sentiment Detection
Cortex enables real-time analysis of chat and video content to detect inappropriate language, spam, or negative sentiment, enhancing security and compliance.
✅ Benefit: Safe collaboration environments for enterprise users.
⚙️ How Snowflake Cortex Simplifies Zoom’s AI Architecture
Before Cortex, Zoom would need to manage:
- Model selection and fine-tuning
- Inference infrastructure and cost optimization
- Separate governance layers for data and AI
With Cortex, Zoom benefits from:
- Out-of-the-box LLMs (including open-source and commercial models)
- Low-code AI development with familiar SQL and Python interfaces
- Enterprise-grade observability and usage controls
- Zero-copy access to live data for model inputs and feedback loops
This enables Zoom’s teams to focus on innovation, not infrastructure.
🚀 Business Impact and Future Potential
Since implementing Snowflake Cortex, Zoom has seen:
- Faster time-to-market for AI features
- Consistent performance at scale across global data centers
- Stronger data governance aligned with customer privacy needs
- Improved user satisfaction through personalized AI experiences
“Snowflake Cortex gives us a powerful and flexible foundation for intelligent user experiences—without sacrificing speed or trust,” said a Zoom AI product lead.
Looking forward, Zoom aims to:
- Integrate generative AI deeper into whiteboards, meetings, and collaboration
- Expand AI capabilities across industries (e.g., education, healthcare, government)
- Drive real-time personalization at the individual user level
🧩 Conclusion
Zoom’s partnership with Snowflake Cortex marks a pivotal shift toward scalable, trustworthy AI development in real-time communication. By embedding Cortex into its data architecture, Zoom empowers its teams to build, test, and deploy intelligent features that scale globally and meet enterprise-grade requirements.
Thinking about scaling AI in your enterprise? Follow Zoom’s example: centralize your data, integrate with a flexible AI platform, and focus on business-ready outcomes.
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