No Data, No AI. Introducing Data Streaming for Actionable Intelligence with AI

The text discusses how data streaming with Apache Kafka® can support the distribution of real-time data for AI applications. It highlights that effective AI requires continuous learning and adaptation through continuous data ingestion, which is enabled by data streaming. Confluent, powered by Apache Kafka®, offers a massive ecosystem of connectors to tap into existing data stores and curate them for consumption by AI tools. Data streaming provides AI applications with the ability to perform continuous training on data streams, efficient and constant data synchronization from source systems to machine learning platforms, real-time application of AI models, and access to high volume data processing. The text also emphasizes the importance of democratizing data across organizations to enable AI teams to find and tap into data sets in a frictionless manner without setting up point-to-point integrations. Additionally, it mentions that Confluent's data streaming architecture is deployed with role-based access control (RBAC) and attribute-based access control (ABAC) at a granular level to ensure secure and trusted access to data. The text concludes by encouraging readers to reach out to a Confluent expert for more information on how to securely feed AI systems with data.