Remove document-management automate-for-regulatory-compliance
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10 must-have data intelligence capabilities for your data cloud migration

Collibra

Your challenge is compounded by the need to ensure compliance with ever-greater regulatory requirements. This feature should enable you to define, manage and share common business terminologies, ensuring clarity and consistency across all teams, which is crucial during the transition to the cloud.

Cloud 95
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What Is Cloud Configuration Management? Complete Guide

eSecurity Planet

Cloud configuration management runs and regulates cloud configuration settings, parameters, and policies to streamline cloud services and assure security. This guide covers the importance of cloud configuration management, its main components, security benefits, challenges, and best practices.

Cloud 86
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AI Governance: Break open the black box

IBM Big Data Hub

According to Gartner 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted.” Well-planned and executed AI requires reliable data backed by transparent, automated tools and explainable processes.

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What Is Data Loss Prevention (DLP)? Definition & Best Practices

eSecurity Planet

They apply policies dynamically, manage business data rights, and automate data processes to effectively protect sensitive information. DLP solutions help detect and prevent potential data exposure or leaks. An effective DLP solution provides the security team a complete visibility of their networks.

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Best Practices for Modern Records Management and Retention

Speaker: Sean Baird, Director of Product Marketing at Nuxeo

Documents are at the heart of many business processes. Organizations in highly regulated industries are realizing that traditional records management practices are insufficient and ineffective in today’s digital world. Join Sean Baird as he highlights best practices for effective records management and retention.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities.

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Integrating Data Governance and Enterprise Architecture

erwin

Aligning these practices for regulatory compliance and other benefits. It documents your data assets from end to end for business understanding and clear data lineage with traceability. Documenting data at rest involves looking at where data is stored, such as in databases, data lakes , data warehouses and flat files.