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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Data privacy and compliance : With data stored in the cloud, navigating complex data privacy regulations like GDPR and CCPA becomes essential. For instance, British Airways faced a fine of £183 million ($230 million) for a GDPR breach in 2018. Poor data integration can lead to inaccurate insights.

Analytics 203
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How foundation models and data stores unlock the business potential of generative AI

IBM Journey to AI blog

A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. An open-source model, Google created BERT in 2018. models are trained on IBM’s curated, enterprise-focused data lake. Foundation models focused on enterprise value IBM’s watsonx.ai

AI 70
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A Comprehensive Guide to the main components of Big Data

Pickl AI

Introduction In today’s digital age, the volume of data generated is staggering. According to a report by Statista, the global data sphere is expected to reach 180 zettabytes by 2025 , a significant increase from 33 zettabytes in 2018. Key Takeaways Big Data originates from diverse sources, including IoT and social media.

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How Marubeni is optimizing market decisions using AWS machine learning and analytics

AWS Machine Learning Blog

Manager Data Science at Marubeni Power International. Data collection and ingestion The data collection and ingestion layer connects to all upstream data sources and loads the data into the data lake. Manager Data Science at Marubeni Power International. He holds a Ph.D.

AWS 98
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Customer Data Culture: The Innovators Have Already Reinvented Themselves

Alation

After 116 years in business, legendary guitar maker Gibson filed for bankruptcy in 2018. A commitment to using data to become a customer-first organization rather than a self-described “developer-led community.”. During his tenure as CEO, he sought to transform Gibson from a guitar manufacturer into a “music lifestyle brand.”

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What Can AI Teach Us About Data Centers? Part 1: Overview and Technical Considerations

ODSC - Open Data Science

What are the similarities and differences between data centers, data lake houses, and data lakes? Data centers, data lake houses, and data lakes are all related to data storage and management, but they have some key differences. Data center career paths (techtarget.com) 10.

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Why We Started the Data Intelligence Project

Alation

In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. To answer these questions we need to look at how data roles within the job market have evolved, and how academic programs have changed to meet new workforce demands. A lack of data literacy slows down the process.