New Custom Model Import capability lets customers easily bring their proprietary models to Amazon Bedrock so they can take advantage of its powerful capabilities

New Model Evaluation capability makes it easier and faster for customers to take advantage of the widest selection of fully managed models including the new RAG-optimized Titan Embeddings V2 and the latest models from Cohere and Meta

Guardrails for Amazon Bedrock provides customers with best-in-class technology to help them effectively implement safeguards tailored to their application needs and aligned with their responsible AI policies

Tens of thousands of customers and partners, including adidas, ADP, Aha!, Amazon.com, Bridgewater Associates, Choice Hotels, Clariant, Delta Air Lines, Dentsu, FOX Corporation, GoDaddy, Hugging Face, Infor, Intuit, Kone, KT Corporation, LexisNexis Legal & Professional, Lonely Planet, Netsmart, New York Stock Exchange, Pearson, Pfizer, PGA TOUR, Perplexity AI, Ricoh USA, Rocket Mortgage, Ryanair, Salesforce, Siemens, Thomson Reuters, Toyota, Tui, United Airlines, and others are using Amazon Bedrock to build and deploy generative AI applications

Amazon Web Services (AWS), a subsidiary of Amazon.com, Inc., has introduced new innovations under Amazon Bedrock, offering customers a streamlined and secure solution for developing advanced generative artificial intelligence (AI) applications. With a focus on simplicity, speed, and security, Amazon Bedrock empowers organizations to leverage leading foundation models and capabilities to build and deploy generative AI applications effectively.

1. Wide Range of Leading Models:
   - Amazon Bedrock provides access to a diverse selection of leading foundation models (FMs) from AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. These models are chosen for their quality and versatility, catering to various generative AI use cases.

2. Fully Managed Service:
   - Amazon Bedrock offers a fully managed service, relieving customers of concerns about underlying infrastructure. This ensures seamless deployment, scalability, and continuous optimization of generative AI applications.

3. Customer Success Stories:
   - Organizations across different sectors, including the New York Stock Exchange (NYSE), Ryanair, and Netsmart, have successfully leveraged Amazon Bedrock to drive innovation, enhance productivity, and improve end-user experiences. Use cases range from regulatory document processing to airline crew support and healthcare record management.

4. New Capabilities:
   - Custom Model Import: Organizations can now import and access their own custom models as a fully managed API in Amazon Bedrock. This feature enables customers to leverage their proprietary data and customized models seamlessly within the platform.
   - Model Evaluation: Amazon Bedrock introduces Model Evaluation, enabling organizations to assess and compare models quickly and efficiently. This feature reduces the time spent evaluating models, accelerating the development and deployment of generative AI applications.
   - Guardrails: Guardrails for Amazon Bedrock offers enhanced safety protection, allowing customers to implement safeguards to remove sensitive information, profanity, and harmful content from generative AI applications.

5. Expanded Model Choice:
   - Amazon Bedrock continues to expand its model offerings, including the introduction of Amazon Titan Text Embeddings V2 and the general availability of Titan Image Generator. Additionally, new models from Cohere and Meta are being introduced to provide customers with greater flexibility and choice.

Customer Testimonials:
   
- Amazon: Trishul Chilimbi, VP and Distinguished Scientist, highlights how Amazon Bedrock Custom Model Import enables internal developers to access advanced models like Rufus, enhancing the organization's ability to innovate across diverse business areas.
  
- Aha!: Dr. Chris Waters, CTO at Aha!, emphasizes the importance of Amazon Bedrock's responsible AI features and Guardrails in enabling the company to prioritize data protection and safety while delivering innovative AI-powered capabilities to its customers.
  
- Dentsu: James Thomas, Global Head of Technology at Dentsu Creative, shares how Amazon Titan Image Generator has empowered creative teams to produce compelling images for global campaigns, with the added benefit of watermark detection for content transparency.
  
- Pearson: Eliot Pikoulis, CTO at Pearson, discusses how Titan Image Generator has accelerated content creation processes, enabling designers and content creators to bring ideas to life quickly and securely.
  
- Salesforce: Kaushal Kurapati, SVP of AI Products at Salesforce, acknowledges Amazon Bedrock's role in facilitating model evaluation and selection, enabling faster operationalization of models for personalized customer experiences.

With its latest innovations under Amazon Bedrock, AWS continues to lead the way in simplifying the development and deployment of advanced generative AI applications. By offering a comprehensive suite of tools, models, and capabilities, Amazon Bedrock empowers organizations to drive innovation, enhance productivity, and deliver superior user experiences across diverse industries.