Amazon Q: Enterprise-grade conversational intelligent navigation

Authorization instructions: This article authorizes the official Amazon Cloud Technology article to forward and rewrite the rights, including but not limited to Amazon Cloud Technology official channels such as Amazon Cloud Technology Developer Community, Zhihu, self-media platforms, third-party developer media, etc.

Preface

Many AI smart assistants currently on the market are mainly limited to developers and general users, and have relatively little support for enterprise-level development. However, with the development of the times, customized AI solutions for enterprise development have become increasingly important.

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1. There are many AI assistants on the market, but few are enterprise-level.

Currently, enterprises are in urgent need of more powerful and professional AI assistants in the wave of digital transformation to meet the increasingly complex business environment and industry requirements. Regrettably, however, most enterprise-level AI assistants are relatively lacking in functionality and performance, making them difficult to handle the diverse tasks of enterprises.

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Compared with ordinary AI assistants, enterprise-level AI assistants should pay more attention to complex business scenarios and special needs in design and development. Traditional AI assistants usually focus more on meeting the daily needs of individual users, while for enterprise-level applications, their specificity and complexity are often ignored by more general solutions.

This situation has brought a series of challenges to enterprises in the process of intelligence. Without intelligent tools that specifically meet enterprise needs, it is difficult for enterprises to achieve efficient business process optimization, data management and decision support. In a highly competitive market, this has become an important bottleneck restricting enterprise innovation and development.

2. Wide range of professional fields, enterprise-level assistant AmazonQ released

At the recent Amazon Cloud Technology Conference, Amazon Cloud Technology announced an exciting news - the launch of Amazon Q, a new generative AI-powered assistant. Amazon Q focuses on meeting the needs of office scenarios, is specialized, and aims to provide more accurate and personalized services.

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In this context, Amazon Q assistant comes to the fore. Compared with other smart assistants, Amazon Q Assistant focuses on enterprise applications and provides enterprises with broader and deeper development support. Its unique features and customization options enable enterprises to better integrate artificial intelligence technology to meet specific industry and business needs. This enterprise-level AI assistant can not only improve development efficiency, but also provide strong support for improving corporate innovation and competitiveness.

3. Meet personalized support business needs and development needs

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Amazon Q is a service with rich knowledge and experience of Amazon cloud technology, which can provide developers and IT professionals with multiple access methods, including Amazon cloud technology management console, documentation page, IDE, Slack, etc. At the same time, it is also an expert in patterns and best practices, allowing customers to easily explore new services and features, build, understand technology, solve problems and upgrade applications faster.
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One of Amazon Q's core features is to help users understand Amazon cloud technology capabilities through concise answers, citations, and source links, explore how services work, find the best way to build a solution, and choose the best service for the use case. Access Amazon Q using Amazon CodeWhisperer in your IDE, which combines expertise with understanding of customer code to help developers interpret programming logic, debug, test, and optimize code.

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In addition to the above functions, Amazon Q also provides more functions, including faster feature development, code conversion, etc. With more than 40 built-in connectors, Amazon Q supports integration with common data sources to provide employees with tailored assistance to solve problems, generate content and take business-relevant actions.

Amazon Q has the following features and advantages:
1.使用便捷高效: Developers can use it anywhere on the Amazon cloud technology platform to help developers Ability to explore new services and features, learn unfamiliar technologies, and build solutions more easily and quickly
2.个性化业务支持: Amazon Q with more than 40 built-in Connectors provide personalized support for enterprises, connect company data, information and systems to meet the individual needs of business users.
3.Amazon QuickSight的整合: Amazon Q works together with Amazon QuickSight to quickly build engaging visuals through generative BI capabilities, improving the productivity of business analysts and users. .
4.客户服务优化: In Amazon Connect, Amazon Q provides customer service agents with intelligent recommendations through real-time conversations and company content to improve customer service levels.
5.供应链智能化: The upcoming Amazon Q Assistant provides intelligent answers in the supply chain to help inventory managers and supply and demand planners understand the supply chain situation while optimizing assumptions Scenes.

4. Test usage guide

1. Preparation

1. Enter (Official website address) and log in to your account. Friends who do not have an account need to complete the account registration first.
2. Search for AmazonQ service in the console search bar (Amazon Q usage documentation)
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3. Enter the AmazonQ service interface
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2. Web user experience

1. Wake up AmazonQ by clicking the second button on the right (note that this is a preview version of AmazonQ)Insert image description here

2.注意: For AmazonQ, the input dialogue characters should be composed of uppercase and lowercase letters and special characters. The programming languages ​​​​C++ and C# are also supported
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3. You can click Get start to provision permissions for the specified user. Note: Already existing usersInsert image description here

4. Next, we will teach you how to create a user by searching for the IAM service in the search bar at the top.Insert image description here

5. Go to the IAM service homepage and make relevant settings for user groups, users, policies, roles, etc.Insert image description here

6. Before creating a user, you can create the corresponding strategy as needed. The strategy can be divided into visual or JSON format (create the strategy according to your own needs)Insert image description here

7. After the policy is created, when creating a user, you can add the corresponding policy to give the user the corresponding rights.Insert image description here

8. After creation, you can view and log in to the corresponding user account, and then return to the third step to assign permissions to the specified user.
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3. Compiler side usage experience

1. Search Amazon Cloud Technology in the plug-in market in vscode and introduce the service through installation
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2. After the installation is complete, you can see three services, click to experience them.Insert image description here

3. After experiencing the use, you will open the link through the browser, log in through email verification, and enter AmazonQInsert image description here

4. After the verification is completed, the word "success" will be displayed.Insert image description here

5. Return to vscode, we can see that the AmazonQ service has been started
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6. Explain your code in a more understandable way by selecting the code, right-clicking, and selecting Explain.Insert image description here

7. By selecting the code, right-clicking, and then selecting the Refactor function, refactor to improve the readability and efficiency of the code, as well as make other improvements.Insert image description here

8. Repair helps you debug and fix code problems by selecting the code, right-clicking, and selecting the Fix function.Insert image description here

9. Optimize: enhance the performance of the code by selecting the code, right-clicking, and then selecting the Optimize function.
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5. Future ideas and summary

Throughout my experience with Amazon Q, I found the overall experience to be excellent. Its functional performance is obviously designed for enterprise-level applications, and it can be easily deployed on the Web. The use is made more convenient through the guidance of official documents . In terms of compilers, by downloading and installing the Amazon Q Assistant in the vscode plug-in market, it can not only solve problems through dialogue, generate content and provide strategies, but also provide personalized guidance and answers based on company information, code and systems.

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The integration of Amazon cloud computing and artificial intelligence technology fully demonstrates forward-looking thinking and practical innovation for the development of future cloud technology. **Amazon Q enables users to utilize cloud services more flexibly by providing multiple access methods, including Amazon Cloud Technology Management Console, documentation page, IDE, and Slack. **This diversified access path provides developers with a more convenient experience and maximizes the advantages of cloud computing to developers, thereby accelerating the exploration of new services and functions and lowering the threshold for technical learning.

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Through artificial intelligence technology, Amazon Q can provide users with precise and personalized help, solving problems that may be encountered in the complex Amazon cloud technology system. This kind of intelligent support not only simplifies the tedious steps in the development process, but also improves the efficiency of problem solving and provides developers with a more efficient workflow.

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The integration of Amazon Q with Amazon QuickSight, Amazon Connect and Amazon Cloud Technology Supply Chain demonstrates the trend of future cloud technology, which is to achieve closer collaboration between different services. This collaboration not only enables a more comprehensive synthesis of data and information, but also provides smarter solutions for different business scenarios. This indicates that cloud computing in the future will not only focus on providing more functional services, but also emphasize the integration and collaboration between services to achieve more comprehensive and intelligent application scenarios.

In general, Amazon Cloud Computing fully demonstrates its deep insights and practical implementation of the development of cloud technology in the technical and practical innovations of Amazon Q. In the future, with the continuous advancement of artificial intelligence technology and the increasing maturity of cloud computing, we can expect more such integrated and innovative services to further promote the development of cloud technology in an intelligent and efficient direction.

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Origin blog.csdn.net/weixin_54174102/article/details/134815825