- By quade
- 30 November 2023
Amazon’s Q Introducing ‘DataWise’: Your AI Navigator for Company Insights
Amazon Q is a chat application that allows businesses to ask questions unique to their enterprises. It was launched by Amazon’s cloud subsidiary AWS.
AWS CEO Adam Selipsky introduced Amazon Q at AWS re:Invent. It functions as an AI assistant that allows users to ask questions about their businesses using their data. Employees can, for instance, ask Amazon Q about the most recent policies on the use of the corporate logo or decipher another engineer’s code to keep an app up to date. Rather than the employee having to go through dozens of documents, Q can retrieve the information.
Through the AWS Management Console, developer environments such as Slack, documentation sites from specific firms, and other third-party tools, users can access Amazon Q.
“Will not be used to train any foundation models.”
– Selipsky noted that questions asked on Amazon Q
Amazon Bedrock, AWS’s collection of AI models, include Claude 2 from Anthropic and Llama 2 from Meta, among other models that Amazon Q can use. Clients who utilize Q, according to the firm, often select the model that best suits their needs, establish a connection to the model’s Bedrock API, use it to understand their data, regulations, and process, then launch Amazon Q.
According to Amazon, questions on using AWS can be asked using Amazon Q, which was trained using 17 years of AWS experience. It can recommend which AWS services are ideal for a given project.
At the moment, Amazon Q is exclusive to customers of AWS’s contact center service, Amazon Connect. It will eventually be accessible on more services including Amazon QuickSight, the company’s business intelligence platform, and Amazon Supply Chain, which assists users in tracking their supply chain management. You may preview Amazon Q for business intelligence.
In an interview with The Verge, Dilip Kumar, vice president for AWS Applications, stated that every Amazon Q instance on AWS services will have a unique appearance. Q is implemented in real time on Amazon Connect, essentially listening in on a client call to obtain information such as account details. It provides the contact center representative with pertinent answers to queries so they don’t have to look them up on their own.
“We wanted to pair the technology with the services that make the most sense first, and for contact centers, supply chain, and business intelligence, AI is a natural fit.”
– Kumar
Pricing for Amazon Q in Connect starts at $40 per agent per month.
Users can try Amazon Q in Connect “for no charge until March 1, 2024.”
– AWS’s Connect website
“Amazon Q recognizes security parameters set up by customers, so employees without access to some information cannot use the query system to get data they’re not allowed to see.”
– Selipsky
Similar items have been created by other firms. Similar functionality is provided by Dropbox’s Dash, Microsoft’s Copilot for Windows users, and Notion’s AI-powered notes search capability, which was unveiled last month.
“AWS would offer Bedrock users the ability to put guardrails around models they use to build AI-powered apps. Now on preview, the guardrails let companies ensure their applications and the models they use to power them follow their data privacy and responsible AI standards.”
– Selipsky
Businesses, especially those in heavily regulated sectors like banking and healthcare, frequently blame themselves for not being able to properly protect their data and ensure that it isn’t used to train new iterations of the model.
“The ability to redact the personally identifiable information of their customers’ end users will also be part of the guardrails, but it is not immediately available yet.”
– AWS
