Data governance has become a critical success factor for organizations aiming to maximize the value of their data and analytics programs. With the rise of machine learning models and AI, governance now extends beyond traditional data management to ensure transparency, compliance, and security for AI-driven solutions.
Join us for TDWI’s May Virtual Summit, where industry experts will provide actionable insights on structuring governance programs that support both traditional BI products and advanced analytics initiatives.
Register for Free and Build a Successful Data and AI Governance Framework.
What You’ll Gain:
- 🚀 Cutting-Edge Insights – Learn the latest trends in data and AI governance and how leading organizations are staying ahead.
- 💡 Inspiring Case Studies – Discover real-world success stories of governance frameworks driving business value.
- 🎯 Proven Best Practices – Get actionable strategies for risk management, compliance, and governance automation.
- 🔑 Game-Changing Strategies – Understand how to implement effective governance processes for BI and advanced analytics.
- 🛡️ Smart Governance – Build a robust framework that ensures data quality, observability, and AI model integrity.
Key topics will include:
- Governance Frameworks – Best practices for structuring and implementing effective data and AI governance.
- Risk Management and Compliance – Ensuring regulatory adherence while mitigating risks in AI-driven analytics.
- Data Quality and Master Data – Strategies for maintaining high-quality, trustworthy data across the enterprise.
- Metadata Management and Observability – Leveraging metadata and monitoring tools for better data transparency.
- Governance for Advanced Analytics – Managing AI and ML models with versioning, monitoring, and ethical oversight.
- Automation and Scalability – Tools and techniques to streamline governance and enhance efficiency at scale.