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AI model governance: What it is and why it’s important

Collibra

If you want to implement AI governance, you may face several challenges, including: AI models are complex and require a cross-functional team for development and deployment that includes expertise in various areas such as data science, software engineering and compliance.

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Private UK health data donated for medical research shared with insurance companies

The Guardian Data Protection

The data was provided to insurance consultancy and tech firms for projects to create digital tools that help insurers predict a person’s risk of getting a chronic disease. The findings have raised concerns among geneticists, data privacy experts and campaigners over vetting and ethical checks at Biobank. Continue reading.

Insurance 108
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Reflecting on the UK Inaugural DaTA Conference: Top Five Trends to Watch as Global Regulators Step up Enforcement in Digital Markets

Data Matters

Indeed, to fully grasp and implement the ever-evolving suite of data and digital requirements, companies will be required to develop robust cross-disciplinary compliance and regulatory engagement strategies.

Marketing 158
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Synthetic data generation: Building trust by ensuring privacy and quality

IBM Big Data Hub

Sharing and monetizing a high-quality, privacy-protected synthetic replica with internal stakeholders or external business partners. That said, synthesizing data offers more protection against traditional data privacy and data anonymization techniques (think of masking), while also doing a better job of preserving the data’s utility.

Privacy 81
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Episode 211: Scrapin’ ain’t Hackin’. Or is it?

The Security Ledger

» Related Stories Episode 206: What Might A Federal Data Privacy Law Mean In the US? In just the last two weeks, three of the world’s most prominent social networks have been linked to stories about data leaks. The post Episode 211: Scrapin’ ain’t. Read the whole entry. »

IT 52
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Building your enterprise AI governance roadmap in our AI-powered world

Collibra

For data leaders, data scientists, and data stewards, the demand for AI applications has created a slew of related challenges. Regulatory compliance, ethical considerations and data privacy have all become critical to the success of enterprise AI.

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How to improve AI governance in healthcare with Collibra Data Intelligence Cloud

Collibra

Collibra Data Intelligence Cloud is an intelligent data platform that leverages the power of machine learning and provides a holistic and integrated approach to cataloging, governing, protecting, managing and collaborating with data at scale across on-premises, hybrid and multi-cloud environments.