Make automated amazon quinting news data with Agentic AI using Amazon Nova Act

Amazon QuickSight Data News support for international customers by converting complex data to applicable decisions for immediate decisions. However, the generation of many daily data issues consumes important time and resources, delaying critical decisions and to prevent groups from focusing on valuable inflation.

Each organization has many business units, and each business unit is creating and uses many drives based on certain reporting needs. Users form various data issues from these dashboard methods according to their needs. Currently, the data creation of data is a reservation process that consumes important time because users need to promote many accounts. By changing this process, organizations can significantly improve the product, so users can redirect their time to making data decisions.

In this sentence, we show that the action of Amazon Nova Actof Access to Quickualaight Data Data Data Data, save time so that you can focus on making critical business decisions, conducted by data.

Amazon Nova Act Accesser Web Browser Automation, which helps to perform complex, real world operations through web posts. In contrast with large language-language models (llMs) focused on the discussion, Amazon Nova Act emphasizes action based on complex operations from reliable atomic instructions. The Effective Change Technology has developed automations independent of the minimum health care, which makes it especially valuable to produce business and its operations.

Quick data stories change complex data into practical representations that direct viewers through details. Automatically includes, text, and photos to turn off the gap between critics and participants, to help organizations be successfully connected and make quick decisions while storing professional levels.

Also automatic Amazon Nova Act, you can automatically produce data stories, reduce the time-consuming. Using Browser Automation, Amazon Nova Act Actactor Contacts with QuickSight creating customized accounts. By combining the Automaton Nova Act with ROBUT Valilation Valision Act determining QuickSizing Skills, you can reduce repetitive tasks and speed up the data-based decisions on all groups.

Looking for everything

On our solution, QuickAight converts complex data into related data issues, enables immediate decisions. Amazon Nova Act converts web browser automation webs astumtion by enabling agents ai to perform complex tasks of successful support, the operation of advanced business production.

Make the best of the best habits

The Amazon Nova Act reaches appropriate results by breaking up legal degrees () Calls, same as providing step instructions by step. At the time of writing, this is the recommended form of construction, reliable, simple-storage functionality. At this stage, we discuss good quick habits.

First, find out, and do not take place in what agencies to do. For example, do not use the following code:

nova.act("Select the SaaS-Sales dataset")

We recommend the following:

nova.act("Click on Datasets option on the left-hand side and then select SaaS-Sales dataset ")

Additionally, we recommend to exceed great actions into small. For example, do not use the following code:

nova.act("Publish dashboard as ‘test-dashboard’")

The following following is separated by different actions:

nova.act("select Analyses on the left-hand side”)

nova.act("select the ‘SaaS-Sales analysis’ ")

nova.act("select ‘PUBLISH’ from the top right-hand corner")

nova.act("In the 'Publish dashboard' dialog box, locate the input field labeled 'Dashboard name'. Enter 'test_dashboard' into this field”)

nova.act(“Select PUBLISH DASHBOARD”)

Requirements

The following requirements are required to create and publish QuickSight data for the Amazon NVA law:

• API key to authentication. To generate API key, see Amazon Nava law.
• Amazon Nova Act Act Prerequitsites and installing instructions, refer to Github Repo.
• Pro user (author or reader) create speedy data issues.
• A quick publication dashboard containing the required material needed for your fast data story.

A Members Windows usersComplete the following settings and step add-in Windows PowerShip:

1. Create a visual environment:
   python -m venv venv.
2. Activate Visible Nature:
   venvScriptsactivate
3. Set your API key such as natural flexibility:
   $Env:NOVA_ACT_API_KEY="your_api_key"
4. Enter Amazon Nova at:
   pip install nova-act
5. To use a script (Python file), use the following command, and specify the Script word you want to do:
   python .py

To keep it simple, we have a Hurcodes Percodes other prices. You can use logic plugrapling using Python features to accept these numbers as installation parameters.

There are many encouraging writing options. In the following sections, we provide examples showing how they can change creation and distribution.

Putting Time

Run the Next Code to import the Novaact Section from nova_act Module, creates an example of Amazon Nova from a direct sign-on page, and starts the default browser's session:

from nova_act import NovaAct

nova = NovaAct(starting_page="

nova.start()

Sign in with guarantees
After you turn on a quick login page, Fill in the following steps to sign in for your authenticity:

1. Enter your instant account name and select the following. (Specify the instant account name in the following code, or use a program logic to manage as a install parameter.)
   nova.act("enter QuickSight account name and select Next")
2. Enter your username and move to the password field. (You can edit the username as the install parameter using program logic.)
   nova.act("Enter username and click on the password field")
3. Collect the password from the command line and install it using Playwright:
   nova.page.keyboard.type(getpass())
4. Now that username and password are filled, select Login.
   nova.act("Click Sign in")

If agent cannot concentrate on the item item (in this case, password field), you can use the following code:

nova.act("enter '' in the password field")

nova.page.keyboard.type(getpass())

Create a new data story
In QuickSight Console, Select Data News in the Navigation Fabilet:

nova.act("Select Data stories on the left side menu")

nova.act("Select NEW DATA STORY").

To create a data story, you must complete the following steps:

1. Describe data story
2. Select the visual from the Dashboard
3. Build a data story

nova.act("Please enter ‘Country wide sales data story’ into the 'Describe your data story' field and Click on + ADD")

nova.act("select all the visuals and select BUILD")

time.sleep(300)

In this example, the funny text of one dashboard (demo dashboard). For many dashboards, quickly replace the speed choice of dashboard and its data story view. Additionally, you can describe the data news according to your needs. If there is more visual, you can choose those you want to add as part of the data story. Adjust Time.Sleep Duration based on the Dashboard Data volume and the combined number.

To view your data story, select Data news To the delivery inheritance and select your data story.

Clean

Complete the following steps to delete the data story you created:

1. Sign in to a quick console.
2. Designate Data news to the wavering pane.
3. Get the data news you want to turn off.
4. Select the Options Menu icon (three dots) next to the story.
5. Designate Erase from the drop-down menu.

Store

In this post, show how you can create a quick data story using Amazon Nova Act. This solution indicates that Amazon Nova action facilitates work fluctuations, increasing the product is very important and savings.

To learn more about Amazon Nova Act and QuickSight Data issues, check the following resources:

About the writer

Satish Bonsele It is a superior technical account manager in AWS. Interested in the success of customers and technology. He loves working back immediately for instant customer purposes, adapting to the software skills and the successful driving of the customer.