Amazon.com’s cloud division has drawn thousands of customers to try out its service vying with Microsoft and Google in a key area of artificial intelligence, an executive told Reuters.
The company also announced new AI tools, including a program for building more conversational customer-service agents, technology access from the startup Cohere and a healthcare system for generating clinical notes after a patient visit.
Organisations including Sony, Ryanair and Sun Life have tried out Amazon Bedrock, a service the company announced in April that lets businesses create applications with a range of AI models, vice president Swami Sivasubramanian said.
Such generative technology can produce new text, images and other content on command.
“Our mission is to make every company an AI company,” said Sivasubramanian, in an interview pegged to a summit the cloud provider hosted in New York.
Amazon Bedrock is the company’s answer to services announced by Google and Microsoft, cloud rivals that have developed or marketed AI garnering significant public attention.
Microsoft has invested in OpenAI, the startup that created ChatGPT and the AI model known as GPT-4.
Amazon’s disclosure of thousands of Bedrock users, previously unreported, shows its efforts are attracting interest as well.
The company has said its range of AI models on offer, low prices and role as the largest cloud provider by revenue – already hosting myriad customers’ data – would help it in the competitive race to sell AI tools.
Amazon Bedrock will become available generally to any customer very “soon”, Sivasubramanian said.
He declined to state when, adding the company aims to address issues around cost allocation and enterprise controls first.
In the meantime, he said, the company was adding to the service.
The cloud provider announced Agents for Amazon Bedrock, which lets businesses create chatbots that execute tasks and give more personalised answers drawing from their proprietary data.
An airline could build a virtual agent that books a flight for a traveler, for instance, based on a customer’s price, destination and seating requests.
The business potential for such agents have recently gripped Silicon Valley.