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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

As a result, look for more automated compliance solutions to hit the market. As businesses migrate from legacy systems to the cloud, data governance and data intelligence will become increasingly relevant to the C-suite and tools to automate and expedite the process will take center stage.

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Data privacy examples

IBM Big Data Hub

The General Data Protection Regulation (GDRP) The GDPR is a European Union privacy regulation that governs how organizations in and outside of Europe handle the personal data of EU residents. An online retailer always gets users’ explicit consent before sharing customer data with its partners.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

This includes defining the product scope of the DT journey and the digital products and services that will deliver transformative change for a new future. Part 3 will discuss how to manage the various DT risks. One essential step is developing the DT business case and connecting it with the critical success factors (CSFs) and the product scope.

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A Considerable Insight into your Data | Capture, organize, store and deliver rich media assets with everteam.iNSight

Everteam

Everteam, being an expert, for more than 25 years in the field of the digital transformation and information governance, developed everteam.iNSight. Based on Artificial Intelligence. If we take Marketers for example, through everteam.iNSight, they will no longer have to spend their time filtering and organizing data.

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A Considerable Insight into your Data | Capture, Organize, Store and Deliver rich media assets with everteam.iNSight

Everteam

Everteam, being an expert, for more than 25 years in the field of the digital transformation and information governance, developed everteam.iNSight. Based on Artificial Intelligence. If we take Marketers for example, through everteam.iNSight, they will no longer have to spend their time filtering and organizing data.

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10 everyday machine learning use cases

IBM Big Data Hub

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029. Then, it can tailor marketing materials to match those interests.

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A Pandora's Box: Unpacking 5 Risks in Generative AI

Thales Cloud Protection & Licensing

AI Hallucinations: These are instances where artificial intelligence systems generate outputs that are not grounded in reality or are inconsistent with the intended task. Enterprises must prioritize responsible AI governance to mitigate threats and uphold ethical standards.

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