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OCBC Bank Accelerates Its Data Strategy with Cloudera 

Cloudera

The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved risk management. OCBC also won a Cloudera Data Impact Award 2022 in the Transformation category for the project.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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BRIDGEi2i Mentioned as Top 10 Data Science companies in India to work for 2020

bridgei2i

BRIDGEi2i Analytics Solutions announced today that it had been recognized in the list top 10 data science companies in India to work for 2020 by Analytics Insights magazine. Analytics Insight is a publication focused on Artificial Intelligence, Big Data and Analytics. Awards & Recognition News & Updates.

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AI recommendations for descriptions in Amazon DataZone for enhanced business data cataloging and discovery is now generally available

AWS Big Data

Introducing generative AI-powered data descriptions With AI-generated descriptions in Amazon DataZone, data consumers have these recommended descriptions to identify data tables and columns for analysis, which enhances data discoverability and cuts down on back-and-forth communications with data producers.

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Five benefits of a data catalog

IBM Big Data Hub

Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information. She can search structured or unstructured data, visualizations and dashboards, machine learning models, and database connections. Protected and compliant data.

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Building an Open Data Processing Pipeline for IoT

Cloudera

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40
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Why data governance is essential for enterprise AI

IBM Big Data Hub

Data governance for LLMs The best breakdown of LLM architecture I’ve seen comes from this article by a16z (image below). is an enterprise-ready studio, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models.