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As AI adoption accelerates across industries, the success of enterprise-scale initiatives increasingly hinges on a robust, future-proof data infrastructure. In 2025, CIOs and technology leaders face mounting pressure to align data strategy with AI-driven transformation—balancing agility, governance, scalability, and cost-efficiency. Join us for AI-Ready Data: What CIOs Need to Know in 2025, to unpack the emerging trends, architectural shifts, and operational imperatives required to support advanced AI workloads—from real-time pipelines and hybrid cloud ecosystems to modern data governance and AI observability. In this session, you’ll: Learn how to evaluate and evolve your data architecture to support generative AI and real-time analytics at enterprise scale. Understand best practices for unifying governance, lineage, and observability across hybrid and multi-cloud environments. Discover organizational strategies to bridge the gap between data engineering, MLOps, and business value realization. Additional Resources: DataStax Developer Hub: https://dtsx.io/devhub DataStax Blog: https://dtsx.io/howto Try Langflow: https://dtsx.io/trylangflow Try Astra DB: https://dtsx.io/40kQpI6 ____________________ Stay in touch: Join our Discord Community: / discord Follow us on X: https://x.com/DataStaxDevs