Building Reliable Agentic AI on Databricks скачать в хорошем качестве

Building Reliable Agentic AI on Databricks

Agentic AI is the next evolution in artificial intelligence, with the potential to revolutionize the industry. However, its potential is matched only by its risk: without high-quality, trustworthy data, agentic AI can be exponentially dangerous. Join Barr Moses, CEO and Co-Founder of Monte Carlo, to explore how to leverage Databricks' powerful platform to ensure your agentic AI initiatives are underpinned by reliable, high-quality data. Barr will share: How data quality impacts agentic AI performance at every stage of the pipeline Strategies for implementing data observability to detect and resolve data issues in real-time Best practices for building robust, error-resilient agentic AI models on Databricks. Real-world examples of businesses harnessing Databricks' scalability and Monte Carlo’s observability to drive trustworthy AI outcomes Learn how your organization can deliver more reliable agentic AI and turn the promise of autonomous intelligence into a strategic advantage. Talk By: Barr Moses, CEO & Co-Founder, Monte Carlo Here’s more to explore: Unified and open governance for data and AI: https://www.databricks.com/product/un... See all the product announcements from Data + AI Summit: https://www.databricks.com/events/dat... Connect with us: Website: https://databricks.com Twitter:   / databricks   LinkedIn:   / databricks   Instagram:   / databricksinc   Facebook:   / databricksinc