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What to expect from AI in the enterprise in 2025

CIO Business Intelligence

Despite these limitations and concerns among CIOs over AI costs, real progress has been made this year and we can expect to see this grow further in 2025. To benefit from this wider range of RAG services, organizations need to ensure their data is AI-ready. I see this taking shape in 5 key areas.

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Accelerate Amazon Redshift Data Lake queries with AWS Glue Data Catalog Column Statistics

AWS Big Data

Over the last year, Amazon Redshift added several performance optimizations for data lake queries across multiple areas of query engine such as rewrite, planning, scan execution and consuming AWS Glue Data Catalog column statistics. Enabling AWS Glue Data Catalog column statistics further improved performance by 3x versus last year.

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

datapine

An average business user and cross-departmental communication will increase its effectiveness, decreasing time to make actionable decisions and, consequently, provide a cost-effective solution. We have used a marketing example, but every department and industry can benefit from a proper data preparation process.

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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

Our experiments are based on real-world historical full order book data, provided by our partner CryptoStruct , and compare the trade-offs between these choices, focusing on performance, cost, and quant developer productivity. Data management is the foundation of quantitative research. groupBy("exchange_code", "instrument").count().orderBy("count",

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Amazon EMR 7.5 runtime for Apache Spark and Iceberg can run Spark workloads 3.6 times faster than Spark 3.5.3 and Iceberg 1.6.1

AWS Big Data

In this post, we demonstrate the performance benefits of using the Amazon EMR 7.5 Additionally, the cost efficiency improves by 2.9 times, with the total cost decreasing from $16.00 No precalculated statistics were used for these tables. For additional insights, we also examine the cost aspect. with Iceberg 1.6.1

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What Is The Difference Between Business Intelligence And Analytics?

datapine

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. We already saw earlier this year the benefits of Business Intelligence and Business Analytics.

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Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. Thanks to modern data analysis tools , today the costs are decreased since all the data is stored on a cloud and speeds up the process to make better business decisions.