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Explore the future of AI and data streaming in this comprehensive podcast episode that examines ten critical predictions for 2026 and their implications for enterprise technology strategies. Join host Joseph with Field CTO Will LaForest, Director of Developer Advocacy Adi Polak from Confluent, and independent analyst Sanjeev Mohan as they dissect insights from Confluent's 2026 Predictions Report. Discover how agentic AI will fundamentally transform digital commerce by making machines your new customers, requiring enterprises to rethink system capacity and architecture. Learn why Model Context Protocol is becoming essential infrastructure and how context engineering represents the next major breakthrough for AI systems. Understand the mounting pressure AI will place on existing databases as automated agents dramatically increase query volumes, and examine the acceleration of AI-enabled cybercrime that's widening the gap between attackers and defenders. Delve into why enterprises can no longer ignore data governance as AI amplifies the risks of poor data management, and explore how Apache Iceberg is emerging as the standard for cost-effective cold data management. Gain insights into the necessity of independent data planes to avoid vendor lock-in, the competitive advantages of early durable execution engine adoption, and how generative AI improvements will finally enable businesses to tackle legacy technical debt. Throughout the discussion, discover how technologies like Apache Kafka and Apache Flink will be crucial for implementing these changes, with practical guidance on preparing your data architecture for the AI-driven future of 2026.
