ORION Conferences is proud to host the International Conference on Artificial Intelligence, Big Data & Machine Learning, scheduled for March 05–06, 2026, in London, UK. This premier global event offers an exceptional interdisciplinary platform for AI researchers, data scientists, machine learning engineers, software developers, academicians, and industry innovators to explore the latest advancements, applications, and breakthroughs in intelligent systems, big data analytics, and next-generation machine learning technologies. Attendees will experience a dynamic scientific agenda featuring keynote lectures from leading global experts, hands-on workshops, technical sessions on state-of-the-art research, engaging panel discussions on real-world implementations and challenges, networking opportunities with thought leaders and tech pioneers, and an exhibition highlighting cutting-edge tools, platforms, and innovations across AI, data science, and ML ecosystems. The conference is designed to welcome a diverse range of participants, including AI researchers, big data analysts, ML and deep learning experts, cloud and data infrastructure architects, automation specialists, IoT and robotics professionals, academic scholars, postdoctoral fellows, PhD students, entrepreneurs, and technology professionals from enterprises, startups, and research labs worldwide. Participants will have the opportunity to present original research, showcase innovative solutions, and demonstrate AI-driven applications that are transforming sectors such as healthcare, finance, manufacturing, transportation, education, and cybersecurity. The event will serve as a hub for collaboration, knowledge exchange, and insight into future trends across AI, big data, and ML landscapes. The scientific program will feature sessions on a wide range of topics including deep learning and neural networks, natural language processing, computer vision, generative AI and transformers, data mining and predictive analytics, AI in healthcare and life sciences, AI for smart cities and autonomous systems, data ethics and AI governance, cloud-native machine learning, edge AI and IoT, reinforcement learning, big data architecture and scalability, AI for cybersecurity, MLops and automation, explainable AI (XAI), and real-time analytics. Special emphasis will be given to responsible AI, bias mitigation, AI for climate and sustainability, and cross-disciplinary research driving intelligent automation. For those unable to attend in person, a virtual participation option will be available via a secure Zoom-integrated platform, enabling remote attendees from around the world to engage in live presentations, interactive discussions, and virtual networking with peers and speakers. Call for Abstracts: Researchers, developers, and industry professionals are invited to submit abstracts for presentation. Accepted formats include oral presentations, poster presentations, virtual/webinar talks, and video demonstrations. Abstracts can be submitted through the official form on the conference website or via email at submissions@orionconferences.com. All submissions will be reviewed by the Scientific Review Committee, and notifications will be sent within 1–2 business days. Why You Should Attend: This conference provides a unique opportunity to connect with global pioneers in AI, big data, and machine learning, enhance your professional network, and stay ahead of the curve in intelligent technologies shaping our future. Attendees will benefit from exposure to pioneering research, present to a global audience, engage with publication editors and research societies, and explore funding and partnership opportunities across academic, industrial, and governmental sectors.