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Unlocking the Potential of Machine Learning in a Data Lake

Data Virtualization

With data becoming the brain food to the intelligence of every organization, regardless of size or sector, it has become crucial to harness this data to achieve the best results, make the most informed decisions and improve productivity. However, with.

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Secure cloud fabric: Enhancing data management and AI development for the federal government

CIO Business Intelligence

In recent years, government agencies have increasingly turned to cloud computing to manage vast amounts of data and streamline operations. To address these challenges, agencies are turning to a secure cloud fabric that can ensure the confidentiality, integrity, and availability of their data in the cloud.

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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

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What is Dark Data, Why Does it Matter, and Why Are Humans Still Needed?

Timo Elliott

Back in the 1960s, a pair of radio astronomers were busily collecting data on distant galaxies. But what set these astronomers apart – and eventually earned them a Nobel Prize – was what they eventually found in the data. Opportunities for key insights are often buried in a vast universe of dormant information known as “dark data.”.

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Advancing AI: The emergence of a modern information lifecycle

CIO Business Intelligence

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Generative AI: 5 enterprise predictions for AI and security — for 2023, 2024, and beyond

CIO Business Intelligence

From IT, to finance, marketing, engineering, and more, AI advances are causing enterprises to re-evaluate their traditional approaches to unlock the transformative potential of AI. What can enterprises learn from these trends, and what future enterprise developments can we expect around generative AI?