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Enterprises are racing to operationalize AI, but connecting agents to live, trusted data remains a major architectural challenge. In this session, Alok Pareek, co-founder and EVP of Product and Engineering at Striim, will explore how Striim MCP Agentlink enables secure, real-time data movement from operational systems to AI agents. Learn patterns for inference, vector embeddings, and predictive analytics built on Microsoft data products with end-to-end encryption, lineage, and PII protection.

Data is being generated at an unrelenting pace, and data storage capacity can’t keep up. Enterprises must modernize the way they use and manage data by collecting, processing, and analyzing it in real time—in other words, streaming. This practical report explains everything organizations need to know to begin their streaming integration journey and make the most of their data. Authors Steve Wilkes and Alok Pareek detail the key attributes and components of an enterprise-grade streaming integration platform, along with stream processing and analysis techniques that will help companies reap immediate value from their data and solve their most pressing business challenges. Learn how to collect and handle large volumes of data at scale See how streams move data between threads, processes, servers, and data centers Get your data in the form you need and analyze it in real time Dive into the pros and cons of data targets such as databases, Hadoop, and cloud services for specific use cases Ensure your streaming integration infrastructure scales, is secure, works 24/7, and can handle failure