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In 2024, a study conducted by Gartner revealed that the adoption of generative artificial intelligence in the financial sector has reached a notable 58%. This figure reflects a significant transformation in the industry, highlighting four main applications: process automation, anomaly detection, advanced analytics, and operational assistance.
To meet these new demands, Amazon has launched Amazon Q Business, a conversational assistant that uses generative artificial intelligence to help organizations leverage their data more effectively. Traditionally, companies face the challenge of managing both structured and unstructured data, which require different tools for analysis. Unstructured documents, such as PDFs and HTML, are often analyzed through standard search tools, while structured data is managed via business intelligence (BI) solutions like Amazon QuickSight.
Amazon Q Business aims to bridge this gap by providing a comprehensive solution that allows users to interact with business knowledge through a conversational interface. With over 40 predefined connectors, this tool facilitates the integration of platforms such as Confluence and SharePoint, enabling more efficient consolidation of dispersed information.
On December 3, 2024, Amazon Q Business announced its integration with QuickSight, enhancing the connection between structured data sources and Q Business applications. This advancement expands the potential of conversational assistants, allowing users to access real-time answers from various sources of business knowledge, combining structured and unstructured data.
An example of this application is seen in the FinTech organization AnyCompany, where financial analysts used to spend between 15 and 20 hours a week on manual data collection. With the integration of Amazon Q Business and QuickSight, the company has automated this process, enabling advisors to generate portfolio visualizations, risk assessments, and recommendations in minutes. This not only significantly reduces analysis time but also improves the quality of decisions made.
This innovative approach offers companies the opportunity to access valuable, real-time information, representing an effective alternative to traditional data collection methods. In an environment where speed and accuracy are essential, the fusion of Amazon Q Business with QuickSight stands out as a key tool to overcome the limitations of data silos and promote more agile and effective financial analysis.
Referrer: MiMub in Spanish
