Automation can feel like a daunting buzzword, often associated with expensive tools, steep learning curves, and endless configurations. But what if you could simplify your workflows, harness the power ...

Imagine a world where your favorite tools and platforms work together seamlessly, powered by the intelligence of large language models (LLMs). No more clunky integrations, endless API documentation, ...

Chatbots have been mere question-answering agents. Now, AI agents have been able to analyze data, make decisions automatically, and engage with real-world systems. For AI agents to be beneficial in a ...

Model Context Protocol (MCP) is becoming the most common interface to connect AI applications to enterprise systems like Gmail, Google Drive, GitHub and Salesforce. The goal is to give AI and AI ...

Using cloud-based AI tools can be frustrating. Since I primarily use Obsidian for note-taking, whenever I wanted to ask ChatGPT or NotebookLM about something, I had to copy my notes into a separate ...

Model Context Protocol makes it far easier to integrate LLMs and your APIs. Let’s walk through how MCP clients and servers communicate, securely. Every new protocol introduces its own complexities.

The Model Context Protocol (MCP) enables AI agents to interact with external tools across hybrid environments but introduces critical security vulnerabilities, including identity theft, data leakage, ...

In the evolving blockchain environments, there is an increasing need for real-time intelligence, protected data access, and self-managed decision-making systems. There is a new design concept emerging ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The Model Context Protocol (MCP) has become ...

What does it take to get OpenAI and Anthropic—two competitors in the AI assistant market—to get along? Despite a fundamental difference in direction that led Anthropic’s founders to quit OpenAI in ...