From startups to enterprises, organizations of all sizes are getting started with generative artificial intelligence (AI). They want to capitalize on generative AI and translate the momentum from betas, prototypes, and demos into real-world productivity gains and innovations.
But what do organizations require in order to bring generative AI into their business? When we talk to customers, they tell us they need security and privacy, scale, price-performance and, most importantly, tech that is relevant. So, we are excited to announce new capabilities and services to allow all organizations to use generative AI in creative ways, building new applications and improving how they work. At AWS, we are hyper-focused on helping our customers by:
- Making it easy to build generative AI applications with security and privacy built in
- Focusing on the most performant, low-cost infrastructure for generative AI so you can train your own models and run inference at scale
- Providing generative AI-powered applications for the enterprise to transform how work gets done
- Enabling data as your differentiator to customize foundation models (FMs) and make them an expert on your business, your data, and your company
To help a broad range of organizations build differentiated generative AI experiences, AWS has been working hand in hand with our customers, including BBVA, Thomson Reuters, United Airlines, Philips, and LexisNexis Legal & Professional. And with the new capabilities recently launched, we look forward to enhanced productivity, improved customer engagement, and more personalized experiences that will transform how companies get work done.
Announcing the general availability of Amazon Bedrock, the easiest way to build generative AI applications with security and privacy built in.
Customers are excited and optimistic about the value that generative AI can bring to their business. They are diving deep into the technology to learn the steps they need to take to build a generative AI system in production. While recent advancements in generative AI have captured widespread attention, many businesses have not been able to take part in this transformation. Customers tell us they need a choice of models, security and privacy assurances, a data-first approach, cost-effective ways to run models, and capabilities like prompt engineering, retrieval augmented generation (RAG), agents, and more to create customized applications.
That is why on April 13, 2023, we announced Amazon Bedrock, the easiest way to build and scale generative AI applications with foundation models. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading providers like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, along with a broad set of capabilities that customers need to build generative AI applications, simplifying development while maintaining privacy and security. Additionally, as part of a recently announced strategic collaboration, all future FMs from Anthropic will be available within Amazon Bedrock with early access to unique features for model customization and fine-tuning capabilities.
Since April, we have seen firsthand how startups like Coda, Hurone AI, and Nexxiot; large enterprises like adidas, GoDaddy, Clariant, and Broadridge; and partners like Accenture, BCG, Leidos, and Mission Cloud are already using Amazon Bedrock to securely build generative AI applications across industries.
Independent software vendors (ISVs) like Salesforce are now securely integrating with Amazon Bedrock to enable their customers to power generative AI applications. Customers are applying generative AI to new use cases; for example, Lonely Planet, a premier travel media company, worked with our Generative AI Innovation Center to introduce a scalable AI platform that organizes book content in minutes to deliver cohesive, highly accurate travel recommendations, reducing itinerary generation costs by nearly 80%.
And since then, we have continued to add new capabilities, like agents for Amazon Bedrock, as well as support for new models, like Cohere and the latest models from Anthropic, to offer our customers more choice and make it easier to create generative AI-based applications. Agents for Bedrock are a game changer, allowing LLMs to complete complex tasks based on your own data and APIs, privately, securely, with setup in minutes (no training or fine tuning required).
We are always excited to share announcements that make it easier to bring generative AI into your organization.
Read the full article and explore generative AI on AWS to learn more.
About the author
Swami Sivasubramanian is Vice President of Data and Machine Learning at AWS. In this role, Swami oversees all AWS Database, Analytics, and AI & Machine Learning services. His team’s mission is to help organizations put their data to work with a complete, end-to-end data solution to store, access, analyze, and visualize, and predict.