5 requirements for using MCP servers to connect AI agents

One of the most poweful collaborations between AI and tech giants, Model Context Protocol (MCP) is a standard for connecting AI agents. We need standards like MCP to orchestrate communication between AI agents, AI assistants, LLMs, and other resources. Such standards are also critical for developing more complex agentic workflows. The MCP protocol enables two…

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How developers can bring voice AI into telephony applications

In the era of support apps and chatbots, telephony continues to hold strong as the backbone of customer communication, and voice AI is entering the call center scene to further streamline customer interaction.  However, this means developers are suddenly being confronted with a whole new set of challenges, foremost among them the difficulty of bridging the…

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Neoclouds run AI cheaper and better

Enterprises are under intense pressure to deliver AI outcomes that are visible, measurable, and repeatable without blowing up their cloud budgets. That’s why neoclouds have arrived at exactly the right moment. By neoclouds, I’m referring to GPU-centric, purpose-built cloud services that focus primarily on AI training and inference rather than on the sprawling catalog of general-purpose services…

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MariaDB to Acquire GridGain to Tackle the AI Latency Gap

MariaDB is set to acquire GridGain Systems with the aim to deliver sub-millisecond data performance for agentic AI workloads. GridGain is the company behind the in-memory computing platform and developer of the open source project Apache Ignite. The deal comes at a time when technology vendors are rethinking the foundations of the modern data stack…

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