AWS enhances Quicksight’s business intelligence with AI agents

Amazon Web Services Inc. today said it is expanding QuickSight with Agent AI to its generative artificial intelligence capabilities of cloud-based business intelligence services.

Amazon Quicksight is a platform for business users that can provide machine learning capabilities to their users. Reach out Provides company data and spreadsheets, charts and visualizations.

Includes integrated generation AI capabilities Amazon Qthe AI-powered assistant was announced during Re:Invent 2023. You can answer the question Data Overview A complete, simple task based on natural language queries Like Dashboard generation.

Today, Amazon has released “Scenario.” This has released a new way of approaching data by enabling business users to become data. a Data analyst. Previously, Quicksight’s Q opened up an opportunity for authors – creators who built pages and visuals – And consumers, The answer was from users who needed a summary and questions.

This new offering opens up the opportunity to dive all users deep into their data and become analysts who can practice spreadsheets and datasets. This feature was Originally It has been proven Re: Invention last year It’s now generally available in preview.

“I know that every user doesn’t want to understand how to regress and complex analyses,” Jose Kunnackal, director of Amazon Quicksight at AWS, told Siliconangle in an interview. “But we know that user At some point You can use spreadsheets to manipulate your data and get results. The QuickSight scenario allows a regular business user to do this by simply stating the question, and in the background, it does an analysis. ”

In normal interactions, when you are responsible for AI assistants, users may ask questions to generate visuals such as charts, graphs, dashboards, and more. Then ask them to improve their results by asking other questions or repeating the conversation. According to Kunnackal, this method is It’s running around very slowly.

scenario It will accelerate Analytics via Agent AI to automate complex multi-step data analysis. This means that users can simply enter conversational English scenarios, and AI agents can search for data, develop plans, carry out the necessary steps, and significantly reduce them. User effort and time.

Kunnackal emphasized that the AI ​​agent is viewing the analytics process, so users can steer and derive it along. AI agents are doing deep analytical work, but they are not a complete black box. This allows users to improve their approach by seeing where the agent went and how they chose to go there.

For example, users can provide “what-if” scenarios to AI agents, and can look up their own company data or uploaded documents and It will then take a few minutes to perform the analysis. these It’s a task You’ll take a data scientist or analyst for weeks or days, but now it’s reduced to minutes.

Every time a user asks a question, the AI ​​agent creates a thread where the user can add follow-ups. Users can also consider multiple related or alternative inquiries from the first question forming a concurrent thread. This allows users to avoid and investigate linear thinking in data research multiple Kunnackal said that the pass at once can give you more creative results.

For example, users can look at product sales performance across different regions across separate threads, the impact of price changes on revenue, and potential inventory adjustments. That approach helps mimic the natural human brainstorming process that explores many ideas immediately However, AI provides complex analysis and provides clear presentations.

“The scenario is a natural progression of the work we’ve been doing in a hurry,” Kunnackal added.

With the addition to Quicksight’s Q, Kunnackal said AWS is considering expanding deep analytics capabilities to more users. It was in the hands of early customers like BMW Group and Amazon after unveiling the feature last year itself Where and what is used to reveal insights in supply chain data In Analyze support ticket patterns.

Image: Amazon Web Services