Core Insights - Medidata has introduced a transformative vision for the life sciences industry, unveiling AI-based virtual companions and a new AI ecosystem that aims to enhance clinical trial processes and patient therapy delivery [1][8] Group 1: AI Companion and Platform - The flagship AI companion, Dot, integrates Medidata Study, Data, and Patient Experiences, streamlining clinical workflows and enhancing trial optimization through a vast data library from 38,000 research studies involving over 12 million patients [2][5] - Dot automates complex workflows, significantly reducing study build timelines from weeks to hours, allowing teams to transition from design to execution with improved precision [5][6] Group 2: Real-Time Insights and Simulations - The platform enables continuous updates of plans and forecasts in real time as new data flows in, providing unprecedented insight, speed, and control in clinical trial planning [6] - Virtual workspaces allow teams to design, test, and simulate trial performance and financial outcomes before patient enrollment, enhancing overall trial strategy [5][6] Group 3: Industry Impact and Leadership - Dassault Systèmes' extensive reach in the life sciences value chain is highlighted, with a focus on overcoming bottlenecks to expedite the delivery of life-saving therapies [7][8] - Medidata's 25 years of industry knowledge has been transformed into an intelligence layer that bridges gaps and fosters connectivity across the life sciences sector [8] Group 4: Event and Collaboration - The NEXT New York 2026 event gathered over 1,000 global life sciences leaders to discuss the impact of AI and orchestrated intelligence on clinical trials, featuring nearly 50 keynotes and interactive sessions [9] - Collaboration with industry leaders such as AbbVie, BMS, and Pfizer emphasizes the collective effort to innovate and improve clinical development processes [9]

Physical AI is here. Grounded in science and the laws of physics. Resetting the world's largest industries.Dassault Systemes pioneered virtual twins to model and simulate the world. For almost 30 years, NVIDIA has helped bring them to life. Now, Dassault Systemes is combining NVIDIA AI models, CUDA-X, and Omniverse Libraries, with its Virtual Twin Factories.to super accelerate design and engineering with AI Physics. to open new paths to molecule and material discovery. and build complex, software-defined ro ...

Core Insights - Dassault Systèmes and NVIDIA have formed a long-term strategic partnership to create a shared industrial architecture for mission-critical artificial intelligence across various industries [1] - The collaboration aims to integrate Dassault Systèmes' Virtual Twin technologies with NVIDIA's AI infrastructure, open models, and accelerated software libraries [1] - This partnership will lead to the development of science-validated industry World Models and innovative working methods through skilled virtual companions [1]

Core Insights - Dassault Systèmes and Airbus have extended their strategic partnership, focusing on the 3DEXPERIENCE platform for lifecycle management of all new Airbus programs for civil and military aircraft and helicopters [2][6] - The deployment will enhance collaboration among over 20,000 users across various business areas and suppliers, utilizing virtual twins to improve production efficiency and reduce costs [3][6] - The partnership aims to support Airbus's digital transformation, accelerating the development of next-generation aerospace products while ensuring quality, safety, and security [4][6] Company and Industry Summary - The 3DEXPERIENCE platform will be implemented company-wide at Airbus for all future generations of aircraft and helicopters, marking a significant milestone in digital transformation [6] - Airbus will leverage seven industry solution experiences from Dassault Systèmes, including "Program Excellence" and "Winning Concept," to streamline operations and enhance product lifecycle management [5][6] - The collaboration is expected to enable Airbus to utilize AI-powered generative experiences and advancements in material science, modeling, and simulation, thereby redefining the aerospace industry's future [4][5]