Sure! Here’s the translation to American English:
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Contemporary organizations face the challenge of obtaining agile responses to business questions without the need to resort to complex SQL queries or complicated business intelligence dashboards. In a context where structured data, such as tables and databases, are essential for decision-making, the implementation of natural language querying systems has begun to transform interaction with information. These systems allow users to ask questions using everyday phrases, such as “Which region has the highest income?” and receive immediate and clear answers.
However, despite the advantages they offer, many companies still struggle to make this data accessible to non-technical employees. The lack of programming and data analysis skills means that many workers depend on the business intelligence team or data scientists, which can cause significant delays in decision-making. Additionally, traditional dashboards often restrict employees’ ability to effectively explore data, thereby limiting clarity about which questions are feasible and where relevant data can be found.
To overcome these obstacles, solutions are being developed that offer intuitive conversational interfaces, allowing any employee to ask questions about structured data without needing specific technical training. These tools not only provide accurate answers but are also capable of generating automatic visualizations and explanations that facilitate understanding of the findings. The integration of data from various sources, both structured and unstructured, also plays a crucial role in the functionality of these solutions.
Among the standout tools, Amazon Q Business emerges as an AI assistant that uses natural language technology to respond to data inquiries. This system allows users to interact easily, without the need for intermediaries, making it ideal for corporate environments that require quick answers to questions about diverse data.
Another significant advancement is the incorporation of these capabilities into business intelligence tools like Amazon QuickSight. Here, users can ask questions within the platform and receive visualized answers without the need for coding, thus facilitating access for analysts and executives to critical information in real-time.
Moreover, the combination of data visualization with conversational intelligence offers a unified experience that enables users to obtain answers from different types of data in a single interaction. This is especially valuable for companies that need agility in their analytical processes.
Organizations also have the option to create knowledge bases from their structured data using Amazon Bedrock Knowledge Bases, which allows users to perform complex queries without requiring advanced technical knowledge. This approach minimizes the barriers that often exist when working with databases.
Finally, there is a pattern that facilitates the customization of these solutions, transforming natural language into SQL queries, enabling developers to tailor functionalities to the specific needs of the business.
The choice of the most appropriate solution will depend on several factors, including the location and characteristics of the data, the profile of the users, and governance requirements. Understanding these options gives organizations the opportunity to design solutions aligned with their business goals and improve how they utilize their data at all levels.
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Let me know if you need any further assistance!
Source: MiMub in Spanish
