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CarMax drives business value with GPT-3.5

CIO Business Intelligence

While enterprise IT orgs by and large are taking a measured approach , some early movers are showing impressive results. x natural language model on pilots before Microsoft’s well publicized $10 billion investment in the nonprofit at the outset of 2023. In this early use case, the CarMax team employed GPT 3.5’s

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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

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CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

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Backcountry modernizes for the cloud era

CIO Business Intelligence

Out of 15 metrics Nallani used to measure the company’s overall infrastructure, 13 or 14 came out as “red,” meaning very deficient, and the only bright light — the company’s ecommerce system — was being phased out by Oracle. The company is awesome and has such phenomenal loyalty from its customer base. But tech was in the total doldrums.”.

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The Top 7 FP&A Trends for 2022

Jedox

When a measurable change occurs, Finance requires the ability to respond immediately. In fact, the amount of data businesses are generating and handling is multiplying by the minute. Within the next five years, the world will have created more than three times the data than it did in the previous five years.

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Implement slowly changing dimensions in a data lake using AWS Glue and Delta

AWS Big Data

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. As organizations across the globe are modernizing their data platforms with data lakes on Amazon Simple Storage Service (Amazon S3), handling SCDs in data lakes can be challenging.

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Building a vision for real-time artificial intelligence

CIO Business Intelligence

Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes. In this article, I’ll share insights on aligning vision and leadership, as well as reducing complexity to make data actionable for delivering real-time AI solutions.