Remove Analytics Remove Contextual Data Remove Data Lake
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Beyond the lakehouse: Architecting the open, interoperable data cloud for AI

CIO Business Intelligence

The open data foundation: Beyond raw Iceberg to enterprise-grade control For years, the vast scale of data lakes often resulted in data swamps, lacking the critical governance and performance necessary for enterprise-grade workloads. Unified runtime metastores are key to this interoperability.

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Your data’s wasted without predictive AI. Here’s how to fix that

CIO Business Intelligence

The new analytics mandate is descriptive, predictive and prescriptive in context. When I meet with CIOs or executive sponsors, one of the first things I do is map out their analytics maturity curve. Descriptive analytics: Where most organizations begin and linger Descriptive analytics answers the question: What happened?

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Regeneron turns to IT to accelerate drug discovery

CIO Business Intelligence

To achieve what the company would need going forward, McCowan knew Regeneron would have to undergo a major transformation and build a more enhanced data pipeline that could inject data from up to 1,000 data sources in “analytical ready formats” for both the business and the scientists to consume, the CIO says.

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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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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

Or we create a data lake, which quickly degenerates to a data swamp. Contextual data understanding Data systems often cause major problems in manufacturing firms. IBM built a workforce advisor that uses summarization and contextual data understanding with intent detection and multi-modal interaction.

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OCBC Bank Accelerates Its Data Strategy with Cloudera 

Cloudera

Real-time data analysis for better business and customer solutions. Andrea Pisoni, Head of Data Science says “OCBC worked with Cloudera to design and secure big data platforms as part of its comprehensive data project. The partnership has enabled OCBC to better store, manage and harness the power of our data.”.

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Addressing the Elephant in the Room – Welcome to Today’s Cloudera

Cloudera

After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies. That’s today’s Cloudera.