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Data protection strategy: Key components and best practices

IBM Big Data Hub

A good DLM process can help organize and structure critical data, particularly when organizations rely on diverse types of data storage. It can also help them reduce vulnerabilities and ensure data is efficiently managed, compliant with regulations, and not at risk of misuse or loss.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

In addition to CSRD, California has new mandatory reporting rules coming into play in 2024, while countries around the world are on the verge of implementing their own non-financial disclosure and documentation requirements. Reporting is also becoming critical to corporate social responsibility initiatives.

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GDPR compliance checklist

IBM Big Data Hub

A company can be both a controller and a processor, like a company that both collects phone numbers and uses them to send marketing messages. Processors also include third parties that process data on behalf of controllers, like a cloud storage service that hosts a phone number database for another business.

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How to implement the General Data Protection Regulation (GDPR)

IBM Big Data Hub

Second, a comprehensive inventory makes it easier to comply with user requests to share, update, or delete their data. Some of the most important GDPR principles include the following: All processing must have an established legal basis: Data processing is only acceptable if the organization has an approved legal basis for that processing.

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Strengthening cybersecurity in life sciences with IBM and AWS

IBM Big Data Hub

With the growth in usage of digital technology and cloud in the life sciences industry, digital information is more readily available and at a greater risk for exploitation. Amazon Textract can be leveraged to extract printed text, handwriting and data from any document or image and then passed into Amazon Comprehend Medical for redaction.

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Building AI for business: IBM’s Granite foundation models

IBM Big Data Hub

It has an end-to-end process for building and testing foundation models and generative AI — starting with data collection and ending in control points for tracking the responsible deployments of models and applications — focused on governance, risk assessment, bias mitigation and compliance.

Modeling 102
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CIOs rise to the ESG reporting challenge

CIO Business Intelligence

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents. Most companies find themselves in a similar situation.

Reporting 109