Delivering Responsible, Scalable AI with Amazon Bedrock at Cisco | Amazon Web Services
Scaling AI across regions while maintaining performance and security can be challenging. This video shows how Cisco uses Amazon Bedrock to access multiple models, scale efficiently, and support responsible AI practices. Watch the video to learn how you can scale AI with greater efficiency and control.
How is Cisco approaching generative AI responsibly?
Cisco is building generative AI capabilities with a clear focus on responsible use. That means:
- **Fairness:** Cisco designs AI features to reduce bias and support equitable outcomes across different user groups.
- **Transparency:** The company aims to make it clear how AI is used in its products, so customers understand what the AI is doing and why.
- **Security:** Cisco prioritizes data protection and secure AI operations, aligning its AI work with its broader security standards.
By combining these principles, Cisco’s goal is to earn and maintain customer trust while it introduces new AI-driven features into its portfolio.
Why did Cisco choose Amazon Bedrock for its AI workloads?
Cisco chose Amazon Bedrock to support its generative AI features because the platform aligns with both its technical and business requirements:
- **Access to multiple leading models:** Bedrock provides easy access to a range of cutting-edge foundation models from different providers through a single service, so Cisco can select the right model for each use case.
- **Global scalability and low latency:** Cisco needs AI features to be available in many regions with responsive performance. Bedrock’s global infrastructure helps deliver low-latency experiences to users around the world.
- **Cost-effective deployment:** Bedrock lets Cisco support features that may have wide regional availability but relatively low initial usage, without overprovisioning infrastructure. This helps manage costs while still being ready to scale.
Together, these capabilities make Bedrock a practical fit for Cisco’s strategy to embed generative AI into its products and services.
How does Amazon Bedrock help Cisco scale AI securely and efficiently?
Amazon Bedrock gives Cisco a managed foundation for scaling AI features without having to build and operate all the underlying infrastructure itself. Specifically, it helps Cisco:
- **Scale on demand:** Cisco can ramp AI usage up or down as customer demand changes, using Bedrock’s managed infrastructure instead of running dedicated capacity everywhere.
- **Maintain security controls:** Bedrock is part of the broader AWS environment, so Cisco can align AI workloads with AWS security, compliance, and governance practices.
- **Accelerate innovation:** With infrastructure and model access handled by Bedrock, Cisco’s teams can focus more on product features and customer experience, rather than on model hosting and scaling.
This combination allows Cisco to reimagine how it delivers AI-powered capabilities—moving faster, staying cost-conscious, and keeping security and responsible AI practices at the center of its approach.
Delivering Responsible, Scalable AI with Amazon Bedrock at Cisco | Amazon Web Services
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