Remove 2024 Remove Data Lakes Remove Data Silos
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Build a financial research assistant using Amazon Q Business and Amazon QuickSight for generative AI–powered insights

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According to a Gartner survey in 2024 , 58% of finance functions have adopted generative AI, marking a significant rise in adoption. Their information is split between two types of data: unstructured data (such as PDFs, HTML pages, and documents) and structured data (such as databases, data lakes, and real-time reports).

AWS
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Query structured data from Amazon Q Business using Amazon QuickSight integration

AWS Machine Learning Blog

Although generative AI is fueling transformative innovations, enterprises may still experience sharply divided data silos when it comes to enterprise knowledge, in particular between unstructured content (such as PDFs, Word documents, and HTML pages), and structured data (real-time data and reports stored in databases or data lakes).

AWS
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What is the Snowflake Data Cloud and How Much Does it Cost?

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This blog was originally written by Keith Smith and updated for 2024 by Justin Delisi. Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. The primary objective of this idea is to democratize data and make it transparent by breaking down data silos that cause friction when solving business problems.

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Unlock retail intelligence by transforming data into actionable insights using generative AI with Amazon Q Business

AWS Machine Learning Blog

Businesses often face challenges in managing and deriving value from their data. According to McKinsey , 78% of organizations now use AI in at least one business function (as of 2024), showing the growing importance of AI solutions in business. We use QuickSight for interactive visualizations, enhancing data interpretation.

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