[ad_1]
AWS VP of AI Matt Woods discusses Amazon Q at re:Invent 2023
AWS in the present day launched Amazon Q, an AI assistant designed to assist prospects automate a spread of duties, utilizing their very own information because the information. Amazon Q is also being added to a spread of AWS merchandise, together with Join, CodeCatalyst, and QuickSight, however prospects can even apply it to its personal.
OpenAI’s launch of ChatGPT over the past week of November 2022 spurred intense curiosity in giant language fashions (LLMs) and generative AI. Whereas the know-how existed beforehand, ChatGPT’s launch opened up new pathways for adoption.
AWS, to its credit score, has for the previous two years been providing a pure language interface to QuickSight, its enterprise intelligence providing. QuickSight Q, which was launched in September 2021, allowed prospects to ask questions of their information in plain English.
With the launch of Amazon Q in the present day through the firm’s re:Invent 2023 convention, AWS is borrowing the identify in addition to a few of the know-how behind QuickSight Q. Nevertheless it’s clearly increasing the providing past its BI roots, because it adopts new basis fashions that AWS develops and helps as a part of Amazon Bedrock.
As a normal objective AI assistant, Amazon Q will enable prospects to perform a spread of duties, based on AWS’s Antje Barth, a principal developer advocate for GenAI at AWS.
“You need to use Amazon Q to have conversations, resolve issues, generate content material, acquire insights, and take motion by connecting to your organization’s data repositories, code, information, and enterprise programs,” Barth wrote in a weblog publish on Amazon Q.
Amazon Q supplies a GenAI enhance for frequent duties
As an illustration, a gross sales supervisor might use Amazon Q to write down an e mail primarily based on inside firm information, or a advertising supervisor might ask Amazon Q to generate a weblog publish primarily based on inside model guides. When it generates content material, Amazon Q tells the person which particular paperwork have been used to generate the content material.
Amazon Q options pre-build connectors to 40 completely different programs, enabling it to study from information prospects have housed in functions like Slack, Salesforce, Microsoft 365, and others. “Q is aware of who you’re,” AWS VP of AI Matt Wooden stated within the keynote in the present day.
AWS can be releasing a preview of Amazon Q for CodeCatalyst, the place it may be used to assist with improvement duties in AWS. When it’s uncovered to a buyer’s current functions, it might probably perceive the code and even present customized suggestions for methods to construct new apps in AWS primarily based on the present stack and the person’s position.
“Builders can go from an concept in a problem to completely examined, merge-ready, operating code with solely pure language inputs, in just some clicks,” writes Irshad Buchh, a principal options advisor in a weblog publish. “AI does the heavy lifting of changing the human immediate to an actionable plan, summarizing supply code repositories, producing code, unit exams, and workflows, and summarizing any modifications in a pull request which is assigned again to the developer.”
A associated providing is Amazon Q Code Transformation, which leverages the ability of GenAI to write down pc code. The providing, which is at present in preview, at present helps Java, and can quickly be tailored to help Microsoft .NET.
“Amazon Q Code Transformation routinely analyzes the present code, generates a change plan, and completes the transformation duties prompt by the plan,” says Danilo Poccia, AWS’s chief evangelist for EMEA. “Whereas doing so, it identifies and updates bundle dependencies and refactors deprecated and inefficient code elements, switching to new language frameworks and incorporating safety finest practices. As soon as full, you’ll be able to overview the remodeled code, full with construct and take a look at outcomes, earlier than accepting the modifications.”
AWS used Amazon Q to improve 1,000 Java apps from Java 8 to Java 17. The entire challenge took simply two days. “That’s months, if not years, of developer time saved,” AWS CEO Adam Selipsky stated throughout his keynote in the present day.
Amazon Join, the corporate’s hosted contact heart utility, can be getting the Amazon Q remedy. The corporate is leveraging basis fashions out there in Amazon Bedrock to present an AI help to a number of name heart capabilities, together with post-call summarization and higher “slot” decision (comparable to scheduling a service engagement for a sure time).
Clients might already create chatbots and interactive voice response (IVR) functions with Amazon Join. With Amazon Bedrock’s basis fashions, creating unified buyer profiles has been enhanced, AWS Senior Developer Advocate Veliswa Boya writes in a weblog publish.
Amazon QuickSight, in the meantime, additionally positive factors new GenAI capabilities that can enhance entry to data for each finish customers and dashboard authors. With the muse fashions out there in Amazon Bedrock, AWS is now producing written tales and govt summaries primarily based on data surfaced with QuickSight. You’ll be able to learn extra about that right here.
Associated Objects:
5 AWS Predictions as re:Invent 2023 Kicks Off
AWS Bolsters Glue ETL Device with Information Observability, Ray Help
[ad_2]