"It was perhaps logical to assume that Confuent Current 2025 would focus not just on the application of data streaming and real-time information throughput and analysis; the central mission this year was always going to align towards how all strains of predictive, generative and agentic AI now need real-time data feeds in order to act upon data in context, as it happens... in the moment."
"If perhaps 10 years ago we were focused on getting data into a data lakehouse and worrying about reporting and analytics, today being truly data-driven as a business means being able to take action on behalf of customers and users. Ultimately, AI systems are a really different world... while it's easy to ask ChatGPT (or other AI engines) some simple questions, it's so much harder to build truly functional products and services out of these services."
A major data streaming platform emphasized that real-time data feeds are required for predictive, generative, and agentic AI to act on context as events occur. The recommended approach is a shift-left data management strategy: process and govern data at the source for reuse across systems. Real-time streaming should be integrated into enterprise software estates to enable AI-driven automation and decisioning. Modern data-driven businesses must move from analytics-focused lakehouses to systems that take actions on behalf of customers. AI systems are probabilistic and require careful handling of complex business logic to build functional, customer-facing products.
Read at Techzine Global
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