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From a 19th-century glass-jar legacy to a global plant network, Ball is now a pure-play aluminum can partner to the world's biggest beverage brands.
Confluent (CFLT) investor relations material
Confluent Current 2025 Day 2 Keynote summary
Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.Current 2025 Day 2 Keynote summary30 Oct, 2025
Opening keynote and historical context
Emphasized the importance of learning from history, using the Spanish Armada as an analogy for the power of information velocity and rapid response in technology systems.
Drew parallels between historical communication innovations and modern real-time system architectures.
Highlighted the evolution from monolithic to microservices architectures, emphasizing agility and faster delivery.
Discussed the rise of Kafka as a central nervous system for event-driven architectures.
Stressed the need for systems to be ready for change, not just large or complex.
Evolution of data systems and AI integration
Traced the journey from data swamps and batch processing to modern data lakes with table formats like Iceberg and Delta Lake.
Explained how new table formats brought ACID guarantees, versioning, and time travel to cloud-native data architectures.
Noted the shift from batch to streaming analytics, enabling real-time, consistent, and actionable insights.
Addressed the challenges and opportunities of integrating AI, including the need for auditable, trustworthy, and context-rich systems.
Emphasized prompt engineering and context as critical skills for leveraging AI in production.
Fireside chat and industry perspectives
Explored the impact of AI on software engineering, highlighting new patterns, architectures, and professional anxieties.
Discussed the evolving role of data streaming engineers and the importance of adaptability.
Shared insights on the popularity of managed Flink for simplifying complex distributed systems and accelerating data pipelines.
Introduced the Stanford ACE framework for real-time, online model retraining, improving efficiency and reducing bias.
Highlighted the need for vertical-specific AI frameworks in legal and financial domains.
Incentivize data product ownership and quality
AI's impact on auditable system requirements
Future of data catalog standards and interoperability
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Global Technology, Internet, Media & Telecommunications Conference 202518 Nov, 2025
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Confluent, Inc. provides a data streaming platform that enables its clients to transform their business by harnessing real-time data streams. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries with a stream-data platform that enables application builders to easily access data as real-time streams. The company’s platform helps companies to make their applications smarter, by feeding them the massive amounts of information generated by their users, sensor networks and machines.
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