Operationalizing AI Ontologies
An operational intelligence layer, the ontology, models relationships of entities and actions, enabling “digital twins” for organizations.
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Imagine AI Beyond Chat
Regardless of advances in human-computer interaction, typing at least a part of our commands remains a staple. Now, ChatGPT is pretty much synonymous with AI-human interaction. But are these just remnants of a very strong mental model, or is it the most effective way to interface with computers? It might be both.
Model Context Protocol - Intricacies on the Client Side
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.
Frameworks, Protocols, and Practical Tips for Building AI Agents
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.
Building an App Around a Compound AI System
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!
AI Agents in Financial Services: The New Standard In Data-Driven Decision Making
How is AI transforming various sectors within finance, from banking and investment services to insurance and fintech? We’re highlighting both vertical and horizontal use cases.
AI Agents – Maximizing ROI In The Post-Hype Era
Let’s examine top use cases for different industries for maximizing ROI, find intrinsic value of process automation across sectors, and paint a vision of the midterm future of AI progress.