The Model Context Protocol (MCP) is gaining traction in the AI world, with major support from companies like OpenAI and Microsoft. Developed by Anthropic, MCP aims to standardize how AI tools connect with different data sources, making it easier for AI applications to access and process information in real-time. Despite its potential, there are challenges, ...
Cognigy.AI has just updated its platform to support the Model Context Protocol (MCP), enhancing AI orchestration for enterprises. MCP, an open standard developed by Anthropic, simplifies how AI assistants connect with external data and services, allowing different AI components to communicate seamlessly. With this new integration, Cognigy.AI users can easily link their AI Agents to ...
At Google Cloud Next ’25, the focus was on innovative AI tools, particularly the Agent Development Kit (ADK) and its integration with the Gemini LLM. The event showcased how developers can create intelligent AI agents that perform complex tasks and interact with external systems effectively. This article discusses leveraging existing Model Context Protocol (MCP) servers ...
Augmentir has launched the Augie Industrial AI Agent Studio, a groundbreaking tool designed to enhance frontline operations in manufacturing. This no-code platform allows manufacturers to create custom AI agents that streamline various processes, including skills management, maintenance, and quality control. By leveraging specialized agents, companies can improve efficiency, automate workflows, and make informed decisions based ...
This article explores the evolution of Artificial Intelligence (AI) applications into distributed inference pipelines, where models operate at various levels, from device edges to AWS. The focus is on enhancing latency, bandwidth, and privacy by processing data closer to its source rather than relying solely on centralized systems. Telcos play a vital role as AI ...
Pure Storage has teamed up with Nvidia to enhance data storage for AI models on Nvidia’s AI Data Platform, ensuring that existing and new FlashBlade users can benefit. The newly announced FlashBlade//EXA architecture offers improved performance and capacity while remaining compatible with Nvidia’s systems. This integration allows enterprises to provide real-time data to AI agents, ...
We depend on search engines for information daily, but there’s a smarter way! AI agents can gather, analyze, and organize data for you in real time, making your search experience much more efficient. This article discusses how AI agents can enhance personalized customer experiences, how they work, and how multiple agents can team up to ...
Databricks and Confluent are teaming up to tackle the challenges of managing scattered enterprise data. This partnership aims to simplify access to real-time streaming data, making it easier for businesses to develop AI models and applications. With Databricks’ data lakehouse expertise and Confluent’s real-time streaming technology, they offer a seamless integration that enables continuous learning ...
Databricks and Confluent have expanded their partnership to simplify access to real-time data for AI applications. This integration allows businesses to connect operational and analytical systems, overcoming the challenges posed by scattered enterprise data. With Confluent’s streaming capabilities and Databricks’ tools for AI and analytics, companies can now build smarter AI models with continuously updated ...
AI agent applications are revolutionizing how employees and customers engage with technology by automating workflows and enhancing interactions. These agents gather information, reason in real-time, and execute tasks across various industries, from internal support to customer services. Unlike traditional applications, AI agents use advanced machine learning techniques to adapt to their environments. To function effectively, ...
