Big Data & AI Paris 2024 takes place from October 15-16, 2024, in Paris, France. This event is a leading European conference focused on big data and AI technologies, bringing together over 20,000 data professionals, including business leaders, data scientists, and AI experts. The conference features more than 300 sessions, showcasing the latest innovations and practical applications of data and AI in various industries.
The 2025 OCP Global Summit brings together the most forward-thinking minds in open hardware and software development. Held at the San Jose McEnery Convention Center, this four-day in-person event features keynote presentations, breakout sessions, the Innovation Village expo, co-located workshops, and networking receptions. Attendees will collaborate on community-driven standards, explore future technologies, and connect with leaders driving the AI-powered data center revolution.
SC25 convenes thousands of researchers, engineers, and industry experts at America’s Center in downtown St. Louis. The week-long program includes keynote addresses, peer-reviewed technical paper sessions, hands-on tutorials, workshops, and the SCinet networking infrastructure project. An extensive exhibition floor, the Students@SC volunteer program, and dedicated networking receptions make SC25 the must-attend forum for the global HPC community.
AWS re:Invent 2025 is a global cloud computing conference, uniting developers, engineers, and business leaders across multiple Las Vegas venues. Over five days, attendees can engage with visionary keynotes, choose from 2,000+ technical sessions covering infrastructure, AI/ML, security, and DevOps, and participate in hands-on labs and certification prep. The expansive Expo Hall showcases the latest AWS services and partner solutions, while networking receptions and community-driven events foster connections with peers and AWS experts. Whether you’re accelerating your cloud journey, mastering new skills, or exploring generative AI, re:Invent equips you with strategies to innovate and scale