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Learn more about building AI applications with MongoDB → https://mdb.link/_tam0kQjeUQ-AI Is your AI strategy set up for success? In this episode of RedMonk Conversations, Rachel Stephens (Research Director, RedMonk) sits down with Boris Bialek (VP of Industries & Global Field CTO, MongoDB) to untangle the chaos of the current AI landscape. They discuss why the secret to a successful AI strategy isn't picking the best LLM, it’s unifying your data stack. As the AI market moves from simple chatbots to complex Agentic systems, the complexity of managing disparate vector databases, embedding models, and data pipelines is breaking enterprise workflows. Learn how a unified platform approach allows you to treat AI models as "plug-and-play" while keeping your data—the only stable component—at the center. Subscribe to the MongoDB for Developers YouTube Channel: https://www.youtube.com/@MongoDBDevelopers?sub_confirmation=1 Sign-up for a free cluster → https://www.mongodb.com/cloud/atlas/register Subscribe to MongoDB YouTube→ https://mdb.link/subscribe 00:00:00 Introduction to RedMonk Conversations 00:01:06 Investing in Rapidly Changing AI Technology 00:03:39 Why Data is the Foundation of AI Destiny 00:05:56 Real-Time Capabilities and Systems of Action 00:07:23 The Shift from Vector Databases to Unified Platforms 00:10:43 Leveraging Multi-Modal Data: Graph, Geo & Search 00:12:18 Why the Data Layer is the Primary Control Point 00:15:07 Building the Stack: Voyage AI and MCP Servers 00:16:40 Agentic Workflows in Manufacturing & Industry 00:17:44 Evolution: From Chatbots to RAG to Agentic AI 00:21:03 The Importance of the Document Model for Context 00:23:01 Security and Compliance: Queryable Encryption 00:25:46 Data: The Only Permanent AI Infrastructure 00:27:42 Accessing MongoDB’s Solution Library & Docs Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog MongoDB for Developers YouTube Channel → https://www.youtube.com/@MongoDBDevelopers
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