Webinar On-Demand
In today’s fast-paced business environment, the pressure to adopt AI and generative AI technologies is greater than ever. But here’s the catch: AI can only deliver value if it’s trusted. How do you ensure your AI systems are accurate, secure, and compliant? It starts with a strong foundation built on data quality, observability, and governance—three critical pillars that work together to create trustworthy AI.
Yet many organizations face a major hurdle. Without high-quality, reliable data, AI projects are at risk of falling short. Real-time observability can help teams monitor data and catch issues before they escalate, while effective governance ensures proper controls, compliance, and accountability across your data ecosystem.
Watch this webinar featuring industry experts from Alation, Monte Carlo, and Databricks to learn how to integrate data quality, observability, and governance into your AI strategy. Discover best practices for creating a trusted data ecosystem and maximize the impact of your AI initiatives.
You will learn:
What it takes to build trusted AI systems
How data quality, observability, and governance transform AI projects
Practical steps to establish a data ecosystem that supports trustworthy AI
Real-world best practices for getting started
Webinar Registration
In today’s data-driven landscape, effective governance and management of Critical Data Elements (CDEs) are essential for maintaining organisational efficiency, ensuring regulatory compliance, and driving informed decision-making. As organisations continue to face the challenges of managing vast amounts of data, understanding which data elements are critical and ensuring their alignment with compliance regulations becomes paramount.
Whitepaper
Organizations face mounting pressure to ensure their data is accurate, compliant, and fit for decision-making. But with vast amounts of enterprise data to manage, how can teams prioritize governance efforts effectively?
Webinar On-Demand
Using Alation’s Data Quality Processor (DQP) and Snowflake’s Data Metric Functions (DMFs) you can automate data quality checks, centralize intelligence, and provide teams with reliable, AI-ready data. Together, with Anblicks, we’ll showcase proven strategies, grounded in both practical experience and leading research, for implementing these solutions at scale.