Prepare Your Data for Artificial Intelligence: Cloud Strategies for the Future

Join experts from Snowflake, dbt Labs, and our partner BitBang for this technical webinar. If you are tired of your existing data infrastructure acting as a bottleneck and are ready to unlock agility, scalability, and the power of AI, then this session is for you!

Many organizations feel like their existing data solutions are creating more problems than they solve.

If you are experiencing:

• Scalability Issues: Performance degrades as data and query complexity increase.
• High Maintenance Costs: Outdated systems consume a large portion of the IT budget.
• Fragmented Data: Data is siloed, inconsistent, and lacks a unified view for analysis.
• Technological Limitations: Current technology blocks advanced analytics, real-time processing, and AI/ML projects.

This session is designed to provide actionable insights and practical knowledge. You will learn how to:

• De-risk Your Data Migration: Learn to identify and create a strategic plan to overcome common legacy migration challenges, such as poor data quality and technological obsolescence, ensuring a smooth transition to a modern data stack.
• Architect for Scale with Snowflake: Understand how to leverage Snowflake’s unique cloud-native architecture to build a highly scalable, secure, and cost-efficient data platform that can seamlessly handle diverse data types at an enterprise level.
• Apply Engineering Best Practices to Data: Discover how to use dbt Labs to bring structure, speed, and governance to your data transformation workflows by applying software engineering principles like version control, testing, and CI/CD.
• Build a Future-Proof, AI-Ready Data Foundation: Learn the practical steps for integrating Snowflake and dbt to create a production-grade data foundation that is not only robust and reliable for current analytics but also primed for advanced AI and machine learning applications.