Whitepaper
Are you ready to unravel the complexities of data governance? Data governance may be akin to the unsung heroes of IT, supporting critical capabilities in the background. But, when data-related issues arise, they bear the brunt of criticism from all corners of the organization.
In the world of data governance, success hinges on well-established policies, competent staff, and exceptional execution—a true amalgamation of people, processes, and technology. This white paper delves into the critical role of technology in supporting data governance, providing the foundational backbone for your data management efforts.
What You'll Discover:
The key elements of data architecture and their importance.
The essential role of technology in robust data governance.
Insights into building a tailored data architecture.
Considerations for developing your data architecture effectively.
Unlock the art and science of data architecture to achieve data governance success. Download now!
Webinar Registration
As organizations invest in AI, effective governance is crucial to maintain safety and compliance. But did you know it's also critical for creating a consistent framework for innovation? Interac, a leader in digital payments, has partnered with Alation to build a robust AI governance framework. Join Mohit Sirpal and Shubneet Bharwani from Interac as they share expert insights on creating a trusted data environment for AI. Learn how Interac leverages data intelligence to enable self-service, transparency, and traceability in their AI processes, ensuring they are prepared for future AI initiatives.
Whitepaper
Leaders are under mounting pressure to implement AI that drives business results. How can they ensure their data is ready to fuel AI models that succeed?
Webinar On-Demand
In today’s rapidly evolving digital landscape, effective data governance is critical for organizations striving to manage diverse and numerous data types. Ensuring the trustworthiness of AI/ML models requires robust governance of both inputs and outputs.