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5 Pain Points of Moving Data to the Cloud and Strategies for Success

Alation

We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. Accompanying this acceleration is the increasing complexity of data.

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Living in a data sovereign world

IBM Journey to AI blog

It seeks to address modern challenges like cybercrime, data protection, deepfakes and online safety. Data stored in cloud computing services may be under the jurisdiction of more than one country’s laws. Data should be classified and categorized based on sensitivity and regulatory need of the organization.

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How generative AI is transforming legal tech with AWS

AWS Machine Learning Blog

Core security disciplines, like identity and access management, data protection, privacy and compliance, application security, and threat modeling, are still critically important for generative AI workloads, just as they are for any other workload. On AWS, generative AI solutions are now within reach for legal teams of all sizes.

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Artificial Neural Network: A Comprehensive Guide

Pickl AI

Summary: Artificial Neural Network (ANNs) are computational models inspired by the human brain, enabling machines to learn from data. This blog explores their core components, responsibilities, and applications across various industries.

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An Overview of Security and Compliance Features in Snowflake

phData

Security is the protective shield that guards your data against hackers and unauthorized access, while Compliance is a set of rules and guidelines that ensures data is handled correctly by following laws, ethics, and industry standards. Together, they ensure your data is protected while not breaking any rules.

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Data security: Why a proactive stance is best

IBM Journey to AI blog

Learn how to create a holistic data protection strategy Staying on top of data security to keep ahead of ever-evolving threats Data security is the practice of protecting digital information from unauthorized access, corruption or theft throughout its entire lifecycle. Define sensitive data.