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ChatGPT: le nuove sfide della strategia sui dati nell’era dell’IA generativa

CIO Business Intelligence

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

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The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

When Steve Pimblett joined The Very Group in October 2020 as chief data officer, reporting to the conglomerate’s CIO, his task was to help the enterprise uncover value in its rich data heritage. It launched its first online-only brand, Very, in 2009 and finally abandoned its printed catalogs to go all-in online in 2015.

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Convergent Evolution

Peter James Thomas

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Overlapping with the above, from around 2012, I began to get involved in also designing and implementing Big Data Architectures; initially for narrow purposes and later Data Lakes spanning entire enterprises.

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Extend your data mesh with Amazon Athena and federated views

AWS Big Data

Recently, Athena added support for creating and querying views on federated data sources to bring greater flexibility and ease of use to use cases such as interactive analysis and business intelligence reporting. Big Data Architect on Amazon Athena. Let’s dive into the solution. Pathik Shah is a Sr.

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UAB IT helps fuel genomic breakthroughs

CIO Business Intelligence

took over as CIO at University of Alabama-Birmingham in 2015, he confronted a “computer science museum,” as he calls it — instances of every operating system, storage device, and application on the market for the past 30 years. Next up: AI and data lake decisions. When Dr. Curtis Carver, Ph.D.,

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Why Game Studios Should Exploit Visual Analytics | BizAcuity

BizAcuity

However, many Game Studios struggle with implementing analytics tools and solutions for their business for two main reasons-. Inability to get player level data from the operators. A typical data warehouse takes around 6 months to be built and requires a skilled IT team to ensure smooth ETL and workflow performance.

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Turning Streams Into Data Products

Cloudera

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. Without context, streaming data is useless.”