AI Governance
Created May 16, 2024
2 members
22 discussions
The AI Governance topic in the Collibra Community is a space for exploring how to govern AI and machine learning models effectively. Users discuss strategies for managing model metadata, ensuring compliance, monitoring risk, and aligning AI use with enterprise policies—supporting responsible and auditable AI practices.
AI Governance
2 members
22 discussions
API
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0 discussions
Integrations
1 member
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Use cases
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Community_Alex
1 month agoHey Collibra Community! 👋
Thanks for tuning into our webinar on Scaling AI with Confidence Under the AI Act! We hope you gained valuable insights on accelerating AI value delivery while ensuring compliance.
Have best practices or key takeaways you’d like to share on delivering AI value efficiently under the AI Act? Drop them in the comments!
Let’s keep the conversation going and learn from each other. 🚀 If you have any questions, feel free to ask our experts—we’re here to help!
(The Master Class Q&A will run from Feb 27, 2025 11:30 AM - 12:00 PM ET)
Log in or register for the Community to post your questions.Community_Alex
3 months agoCommunity_Alex
3 months agoUnlocking responsible AI: Unified data governance with Collibra and Google Cloud
Unlock this session, recorded at Data Citizens® on the Road ‘24 in New York, featuring Gus Kimble, Head of North America Customer Engineering - Data Cloud at Google Cloud, to learn:
- How your organization can unlock the full potential of your data while safeguarding its integrity
- How Collibra and Google Cloud are partnering to enable a seamless and collaborative user experience that helps accelerate data and AI initiatives
- The importance of ensuring responsible AI practices while navigating the challenges of scaling and maintaining compliance
Unlock now
Community_Alex
3 months agoUnlock this session, recorded at Data Citizens® on the Road ‘24 in London, featuring Collibra’s Chief Executive Officer, to learn:
- The importance and vision of an adaptive, scalable, and intelligent approach to governance for data and AI
- How organizations today are gaining reliability in their data, democratizing access to internal data consumers
- How organizations are governing policies around AI use cases all to drive more value from an ever more hybrid data landscape
Unlock now
collibra_data_citizens
4 months agoRegardless of where you sit in the life sciences value chain, you’re likely facing continuing data challenges. Clinicians, data scientists and researchers must overcome problems with fragmented data sources, including boundless amounts of unstructured data, data quality and accuracy obstacles and evolving laws and regulations. These challenges, when not properly addressed, lead to delays in drug and treatment development, security and compliance issues, and missed opportunities to increase patient care.
To combat this, life sciences organizations are taking a cutting-edge approach to unifying governance for data and AI while providing trusted, high-quality data that serves clinicians, researchers and data scientists. By making both data and AI trustworthy, easily accessible and secure, organizations are driving innovation, delivering critical analytics, accelerating new product introductions, and improving patient outcomes.
Discover more here.Community_Alex
4 months agoAs AI transforms industries, businesses are under increasing pressure to stay ahead of regulatory challenges. One major shift occurred this summer: on August 1, 2024, the EU AI Act entered into force and became “the world’s first-ever horizontal regulatory framework for AI,” setting new rules for how AI systems can be developed, deployed and managed. For organizations that rely on or will rely on AI, understanding and adhering to these regulations is critical—but not without its complexities.
Our exclusive webinar with Atrak Yadegari from Deloitte and Guido Bilstein from Collibra explored the key requirements of the EU AI Act and fast-track strategies to accelerate your compliance readiness.
Let’s dive into the key talking points from the webinar.
In this blog post, we’ve provided a concise summary of what was discussed, along with a few selected excerpts to give you deeper insights. Read more here.collibra_data_citizens
7 months agoExpertise, best practices, and strategic guidance to get AI governance right from the get-go
AI governance is a new, exciting and rapidly evolving area. But where to start? When considering reputational risk, legal and ethical considerations, regulatory compliance, and so much more, leveraging a comprehensive data intelligence platform is critical.
Collibra is uniquely capable of delivering on that need. Our AI governance offering captures AI use cases, AI models, and more in your Data Intelligence Platform environment and allows you to govern that information in conjunction with the most critical information - the data that’s used to train the AI, drive inferences, or is created as output.
We’re here to help, download here.
