New Capability of Amazon Q in QuickSight Makes Every Employee Their Own Data Analyst

**Abstract: New Capability of Amazon Q in QuickSight Empowers Every Employee to Perform Expert-Level Data Analysis** **Key Events:** - Amazon Web Services, Inc. (AWS) has announced a significant update to its Amazon Q feature within QuickSight, a cloud-powered business intelligence service. - The new capability, now generally available, is designed to enable employees at all levels to perform complex data analysis using natural language without requiring specialized skills or experience. **People and Organizations:** - Amazon Web Services, Inc. (AWS), a subsidiary of Amazon.com, Inc. (NASDAQ: AMZN). - Amazon Q, an AI-driven feature within AWS QuickSight. **Location:** - The announcement was made in Seattle, Washington, USA, which is the headquarters of Amazon. **Time Elements:** - The announcement was made on a recent date, as indicated by the "today" in the press release, suggesting it is a current and timely development. **Summary:** Amazon Web Services, Inc. (AWS), a leading cloud computing service and a subsidiary of Amazon.com, Inc., has unveiled a groundbreaking update to its Amazon Q feature within QuickSight, a business intelligence (BI) service. This new capability, now generally available, leverages advanced artificial intelligence (AI) to transform the way employees interact with and analyze data. Traditionally, performing expert-level data analysis has been a domain reserved for data scientists and analysts with specific training and technical skills. However, the updated Amazon Q in QuickSight aims to democratize data analytics by allowing any employee, regardless of their technical background, to engage with data using natural language. This means that users can ask questions in plain English, and Amazon Q will translate these queries into the necessary data analysis, providing insights that are typically only accessible to those with deep data expertise. The scenarios capability of Amazon Q is particularly noteworthy. It enables users to not only ask simple questions but also to perform complex data analysis by specifying conditions and parameters in a conversational format. For example, an employee might ask, "What were the sales in the Midwest region last quarter, and how do they compare to the same period last year?" Amazon Q would then process this query, access the relevant data, and provide a detailed and accurate response, complete with visualizations and trends. This innovation is expected to have a profound impact on how businesses operate. By empowering all employees to perform data analysis, companies can make more data-driven decisions at all levels, from the C-suite to the front line. This could lead to improved operational efficiency, better strategic planning, and a more informed workforce overall. AWS's announcement in Seattle highlights the company's commitment to advancing cloud-based technologies that simplify and enhance business processes. The new Amazon Q capability is part of a broader trend in the tech industry towards making AI and machine learning more accessible and user-friendly. This move by AWS is particularly significant as it addresses a common challenge faced by many organizations: the shortage of skilled data analysts and the high cost of hiring and training such professionals. For businesses using AWS QuickSight, this update means that they can now leverage the full power of their data more effectively. The natural language interface of Amazon Q reduces the learning curve and the need for specialized tools, making it easier for employees to access and understand critical business metrics. This could also lead to a more collaborative work environment, where insights are shared more freely and decision-making is more inclusive. In addition to the immediate benefits, the new Amazon Q capability in QuickSight sets the stage for future advancements in AI-driven analytics. As the technology matures and more users interact with it, the AI agent is expected to become even more sophisticated, offering more precise and context-aware responses to data queries. Overall, the launch of the new scenarios capability in Amazon Q for QuickSight represents a significant step forward in the democratization of data analytics, potentially reshaping the way businesses approach data-driven decision-making and empowering employees to drive insights and innovation from within.