Today's Amazon Web Services update comes to you with the letter Q.
If you work at a company like Accenture, GitLab, GoDaddy, Sun Life, Traeger Grills, Toyota, or Wiz, you'll want a conversational generative AI assistant, a no-code tool for building generative AI apps, and developer-specific applications. You can now access it. Free software engineers from more mundane tasks.
It's called Amazon Q, and it's another sign that the way we work is changing as next-generation AI tools become digital assistants and help us do our jobs smarter and faster. It's a sign. Research by software company Adobe shows that while most consumers use generative AI tools like ChatGPT, Gemini, and Claude at home (81%), about 30% use them at work to brainstorm, write first drafts, and more. Have you used it for writing or creating presentations? Another Boston Consulting Group survey found that 70% of respondents are excited about Gen AI in the workplace, 60% believe it will help with education, and 55% expect it to improve efficiency. I understand that.
For more information on generative AI tools and the latest AI news, tips, and explanations, check out CNET's new AI Atlas guide.
Amazon Q
On Tuesday, AWS announced the availability of Amazon Q Business, a generative AI assistant for business data and software development.
By connecting to corporate data sources, including documents, systems, wikis, intranets, and applications such as Gmail, Microsoft Exchange, Salesforce, and Slack, employees can ask Amazon Q questions about policies, product information, and performance. Q searches for these resources as it interacts with you. You can then summarize the data and analyze trends.
The goal is to save time.
“We can bring together data within the enterprise and leverage generative AI to provide summaries of large amounts of information in the data that people can use to generate reports, generate analytics, and collaborate. come up with new ideas,” said Mai-Lan Tomsen Bukovec, vice president of technology at AWS.
For example, employees at software company Smartsheet can interact with Q via Slack. After asking a question, Q searches the company's data sources and provides answers on the spot within the platform, Bukovec said.
To ensure that Q is providing accurate information and not illusions, in addition to its own guardrails, AWS uses guardrails from Amazon Bedrock, a managed service that works with AI models from companies like Anthropic and Meta. also depends. A spokesperson said Amazon Q Business responses can include source attribution, and businesses can configure their Q applications to only come from corporate repositories.
During Tuesday's earnings call, Amazon CEO Andy Jassy said Q.
“I think there's a really incredible growth opportunity in front of us,” Jassy said. “I don't know if any of us saw that possibility, but… [generative AI] Indeed, it's been a really long time in technology since the cloud, or maybe since the Internet. ”
Amazon Q app
Additionally, AWS announced a preview of Amazon Q Apps. It helps employees build their own generative AI apps to perform tasks like creating new employee onboarding plans. To do so, simply describe the type of app you want, and Q Apps will generate an app that does exactly that.
This means that even employees who don't know how to code can create apps that automate daily tasks. Or, as Bukovec puts it, “This is a no-code, low-code way to create generative AI applications.”
However, it also reduces the burden on developers.
Amazon Q Developer
Speaking of which, Amazon Q can not only generate code, but also test and debug your code, as well as implement new code from developer requests.
According to AWS statistics, developers spend less than 30% of their time coding, and the rest is “spent performing boring and repetitive tasks.”
“Developers don't just write code,” Bukovec said. “They do research, they create prototypes, they generate code, they upgrade applications. They perform all sorts of different tasks within the developer lifecycle.”
In addition to coding, Q also offers customized generative AI capabilities such as near real-time coding recommendations and customization capabilities that generate potential code based on input from the customer's internal code base.
To further free up developer time, Q provides a developer agent that generates step-by-step plans for tasks such as implementing features, refactoring code, and performing software upgrades.
For example, a developer can ask Amazon Q to implement a feature (such as creating an “add to favorites” icon in a social sharing app), and the agent will generate a multi-step plan. The developer works with the agent to review and revise the plans as necessary. Once given the green light, the agent can execute the plan autonomously.
“From a developer perspective, you can spend so much more time building your own features, which is a creative use of engineering that so many developers want.” Bukovec said.
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