Here is AITech365’s Weekly Roundup of the top news from global markets. In this fast-paced world, breaking down information helps readers grasp the nuances that follow the news.
In Automation in AI news this week…
NVIDIA Unveils Omniverse Tools, Cosmos AI Models & Infrastructure
NVIDIA has introduced a suite of new NVIDIA Omniverse™ libraries and NVIDIA Cosmos™ world foundation models (WFMs) designed to speed up the creation and deployment of advanced robotics solutions.
In Healthcare news this week…
Advarra Launches Braid™ to Enhance Clinical Trials with AI
Advarra, a market leader in regulatory reviews and a trusted provider of clinical research technology, has announced the launch of Braid, a production-ready AI engine designed to transform clinical trial operations. Backed by the industry’s largest and most comprehensive clinical trial operations dataset, Braid delivers actionable insights and automation capabilities that help sponsors, CROs, and research sites design and execute trials more efficiently.
In Martech news this week…
David Petrou, Ex-Google Engineer, Launches Social AI Firm Continua
Continua, the company pioneering Social AI, announced it has raised $8 million in seed funding to uplevel the group chat, reimagining how artificial intelligence can be a true participant in dynamic conversations. The round was led by GV with participation from Bessemer Venture Partners and notable angel investors including Jeff Dean, Adam Ghetti, Eoghan McCabe, Josh Reznick, Peter Mattis, Spencer Kimball, Daniel Loreto, Ben Sigelman, Dor Levi, Zach Lloyd, Eyal Manor, Lauryn Motamedi, Des Traynor, Dan Shipper, and more.
In Business Technology news this week…
MongoDB Boosts AI Apps with New Products & Partner Network
MongoDB, Inc. used the Ai4 stage to showcase a series of product enhancements and strategic AI partner integrations designed to help enterprises build accurate, trustworthy, and scalable AI applications faster. By combining industry-leading embedding models with a fully integrated, AI-ready data platform and by strengthening its global AI partner network MongoDB is equipping organizations with the tools to deliver high-performing, cost-effective AI solutions.
In Cloud news this week…
Qubrid AI Launches 2-Step No-Code Multimodal RAG Service
Qubrid AI, a leader in high-performance GPU Cloud solutions, has announced the launch of its 2-Step No-Code Multimodal Retrieval-Augmented Generation (RAG) as a Service a groundbreaking solution that enables businesses, researchers, and innovators to extract actionable intelligence from their proprietary data instantly, securely, and without writing a single line of code.
In IT & DevOps news this week…
MongoDB Boosts AI Apps with New Products & Partner Network
MongoDB, Inc. used the Ai4 stage to showcase a series of product enhancements and strategic AI partner integrations designed to help enterprises build accurate, trustworthy, and scalable AI applications faster. By combining industry-leading embedding models with a fully integrated, AI-ready data platform and by strengthening its global AI partner network MongoDB is equipping organizations with the tools to deliver high-performing, cost-effective AI solutions.
In Manufacturing news this week…
Telit Cinterion Boosts deviceWISE® AI with NVIDIA TAO 6.0
Telit Cinterion, an end-to-end IoT solutions enabler, announces the latest enhancement to its deviceWISE® AI Visual Inspection platform through integration with NVIDIA TAO 6.0. This integration brings low-code AI capabilities to industrial visual inspection, allowing manufacturers to leverage prompt-based segmentation, in-context annotations, and powerful foundation models for tasks such as object pose estimation. Now, quality control teams, engineers and production managers can develop and deploy custom AI models more rapidly, identifying defects and optimizing processes with greater precision across factories.
Insight of the Week
AI Agent Orchestration Explained: What It Is and Why It Matters
For years, we’ve marveled at individual AI agents. They write strong text, translate languages quickly, analyze complex data, and code well. As leaders in AI strategy, we used these point solutions. Each one is a skilled soloist that excels at its specific task. But let’s be honest, haven’t we all felt the growing frustration? The friction of manually passing data between systems? The brittleness when one component fails? The sheer cognitive load of managing a growing ensemble of specialized tools? It felt more like a noisy mix than a symphony. Skilled musicians played different pieces in separate rooms.
