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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations. For healthcare organizations, what’s below is data—vast amounts of data that LLMs will have to be trained on. Consider the iceberg analogy.

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The top 15 big data and data analytics certifications

CIO

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training.

Big Data 313
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Enabling The Full ML Lifecycle For Scaling AI Use Cases

Cloudera

Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform. At Cloudera, we’re focused on making enterprise organizations successful with machine learning. First and foremost, we designed the Cloudera Data Platform (CDP) to optimize every step of what’s required to go from raw data to AI use cases.

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An A-Z Data Adventure on Cloudera’s Data Platform

Cloudera

A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. Our data adventure starts with Shaun, a Data Scientist at a global bank. The Data Analyst. The Data Engineer.

Data 97
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What’s new in CDP Private Cloud 1.2?

Cloudera

Yet for organizations that only want to get their toes wet and perhaps just evaluate the capability, the 16 cores, 128 GB RAM, and 600 GB of storage prevented them from doing just that. To find out more about AMPs, read this blog , which also links to the full documentation and a webinar on the subject. With Private Cloud 1.2,

Cloud 89
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The Future of the Data Lakehouse – Open

Cloudera

Today, the Hive metastore is used from multiple engines and with multiple storage options. The Hive metastore evolved organically to support these use cases, so integration was often complex and error prone. . An open data lakehouse designed with this need for interoperability addresses this architectural problem at its core.

Data 90
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3 Ways Data Virtualization is Evolving to Meet Market Demands

TIBCO - Connected Intelligence

Below is a more in-depth look at the three major areas where data virtualization capabilities are evolving to meet growing market demands. Data virtualization and self-service capabilities. Organizations are now seeing a rise in a new class of citizen data scientists and citizen data engineers who use self-service analytics tools.