AI agents are evolving to automate complex tasks across various sectors, from industrial procurement to customer service. These agents are designed to enhance efficiency and decision-making processes.
According to UJET's CEO, AI will not replace call center agents but will transform the software stack to resolve customer issues more quickly, avoiding escalations and transitions between different systems. Gartner predicts that using AI to fix custo...
Didero raises $30 million for its industrial procurement automation platform. The solution integrates with existing ERP systems, acting as an 'agentic' AI layer to coordinate communications and execute tasks.
Google has released Chrome's Auto Browse agent in preview for AI Pro and AI Ultra subscribers. The article analyzes the capabilities of this AI agent in automating common web tasks, evaluating its effectiveness and reliability in performing online ta...
The agent-to-agent (A2A) protocol aims to bridge the gap between AI automation and human action. The goal is to enable AIs to interact and complete complex tasks without direct user intervention, opening new frontiers in automation and process effici...
AI agents are reaching a commercial inflection point, with significant implications for traditional software models and cloud economics. A growing impact is expected in the coming years, with new opportunities and challenges for businesses.
Uber Eats launched a new AI feature, “Cart Assistant,” that can automatically add items to your cart based on text or image prompts. The aim is to simplify and speed up the online shopping process.
Enterprise AI is shifting fast from chatbots that answer questions to systems that actually do the work across an organization. Glean's CEO explores who will own the AI layer and how companies can prepare.
The article explores how prompt engineering, enhanced by models like Codex, is becoming crucial in a landscape where autonomous software agents increasingly drive digital interactions. It discusses the importance of well-defined prompts to achieve op...
London-based Overmind, developing a supervision layer for AI agents, has closed a £2 million seed funding round. The company aims to develop a platform to monitor and secure AI models in production environments, focusing on regulated industries.
Agentic AI offers insurance companies a way to scale efficiency by automating complex workflows and improving customer support. Sedgwick, in collaboration with Microsoft, improved claims processing efficiency by 30% through real-time guidance systems...
Major Chinese technology companies Alibaba, Tencent, and Huawei are pursuing agentic AI, systems that can execute multi-step tasks autonomously. The goal is to integrate these technologies into specific industries, offering automated tools for busine...
BiomechAgent is an AI agent that generates code for biomechanical analysis through natural language. It enables database queries, visualizations, and data interpretation without coding. A benchmark evaluates its capabilities in data retrieval, visual...
Chinese companies OpenClaw and Cowork are developing desktop AI agents, signaling a growing competition in the AI sector for local applications. This trend reflects an interest in AI solutions that can operate directly on user devices.
DeepRead is a new agent that leverages document structure to enhance search and question answering. It uses an LLM-based OCR model to convert PDFs into structured Markdown, preserving headings and paragraphs. The agent is equipped with retrieval and ...
According to DIGITIMES, Google has identified five key trends that will drive the growth of AI agents by 2026. These trends will influence the development, adoption, and integration of AI agents across various sectors, with significant implications f...
A new framework, ENCOMPASS, separates the workflow logic of AI agents from inference strategies. This approach, developed by Asari AI, MIT CSAIL, and Caltech, aims to reduce technical debt and improve performance, enabling more efficient management o...
