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MCPs are all the rage. The right implementation can make or break your agentic project, and there are quite a few things to consider under the hood. We’re breaking down how data is passed around from Business Agents to MCP servers, and all the client-side intricacies you need to be aware of when implementing MCPs.
Peek into the practical side of AI agent development. We cover key frameworks like LangGraph, essential protocols like the new MCP and A2A, and tips to help developers build effective AI agents.
A concise introduction to reasoning models as the next frontier in AI, highlighting their structured thinking capabilities beyond text prediction.
Learn how the partnership between SAP and Databricks enables real-time analytics and AI capabilities for Fortune 500 companies.
Most consumer goods companies leave money on the table through inefficient pricing, wasteful promotions, and preventable customer churn. Modern AI tools are helping consumer goods retailers with revenue growth management, dynamic pricing, and buyer retention.
Comprehensive analysis of recent AI progress: reasoning models, embodied AI, and multimodality – all pointing toward the goal of general intelligence.
Democratizing multi-agent systems by creating user-centric digital products around them requires an entirely new outlook on the development process. Find out how to tackle new challenges in frontend, backend, and UX/UI design!