Build, Break and Automate

⌖ Barcelona

Hosted by Semrush and Euromonitor International

This in-person event will explore how AI and predictive analytics are reshaping the future of e-commerce. Experts from Semrush and Euromonitor International will discuss findings from their global study, 'The State of FMCG Ecommerce 2025', focusing on AI and data collaboration in the next era of ecommerce. The agenda includes talks by Fernando Angulo and Rabia Yasmeen, followed by networking opportunities.

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⌖ London

Hosted by CAMEL AI Org

This meetup focused on "Building the Future of Multi-agent Workforce" and introduced the CAMEL framework, discussing AI agents and their evolution.

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⌖ Washington · Roofers Union

Hosted by SUM OF FIVE USA

Connect with established professionals working across AI, technology and finance at this two-hour, in-person networking event in Washington, DC. Hosted by SUM OF FIVE USA, the event is designed for professionals interested in making connections across the tech and finance sectors. It takes place from 7–9pm on Friday, 6 November 2026 at Roofers Union, 2446 18th Street Northwest, Washington, DC 20009. The published format focuses on face-to-face networking rather than a workshop or conference programme. No speakers, detailed agenda or specific experience requirements have been announced, so attendees should expect an open professional networking session centred on AI, tech and finance. Refunds are available up to seven days before the event. Get tickets

⌖ Washington · National Press Club

Hosted by Enterprise Technology Association

US AI Congress 2027 brings government, industry and academia to Washington, D.C., on 24–25 March for two days focused on national AI leadership. Hosted at the National Press Club in Washington, the summit runs from 8:00 AM to 5:00 PM daily, with more than 50 sessions across 12 content tracks. It is designed for officials, executives, researchers, investors, educators and other leaders building, deploying, funding or legislating artificial intelligence. What to expect The programme combines national leadership keynotes and fireside conversations with practical roundtables and deep-dive breakout sessions. Themes include: - AI policy, regulation, governance and public-sector adoption - National security, defence, cybersecurity, privacy and safety - Computing infrastructure, data centres, energy and grid modernisation - Education, reskilling and AI workforce development - Healthcare, biotech and drug discovery - Robotics, physical AI and advanced manufacturing - Regional economic development and investment - Superintelligence and quantum-AI convergence AI Ready America Roundtables will include both invitation-based and open working sessions, connecting government officials, industry leaders and educators. National AI Accelerator Breakouts will showcase inaugural cohort teams across eight industry tracks, including investment-ready ventures. Main-stage programming will feature senior officials, industry executives and international partners, although a complete speaker agenda has not yet been published. A separate VIP dinner is scheduled for 23 March, from 6:30–9:00 PM. The congress is founded and produced by the Enterprise Technology Association. Registration is listed as available soon, with prospective attendees currently invited to request a seat or pre-register. Request a seat for the US AI Congress

⌖ San Francisco · Hyatt Regency Burlingame

Hosted by Open Data Science Conference (ODSC)

Learn to build production-ready AI systems in just seven weeks with the AI Engineering Accelerator bootcamp, a hands-on training program that bridges the gap between using AI and building it. Running from June 9 through October 29, 2026, this intensive program combines virtual instruction with a multi-day in-person capstone at the Hyatt Regency Burlingame during ODSC AI West 2026. Designed for professionals ready to move beyond tutorials, the Accelerator provides comprehensive training in the core disciplines of modern AI engineering: large language models (LLMs), agentic AI systems, and production deployment. You'll gain practical experience with the latest tools and frameworks used by leading AI teams, learning not just how to use AI, but how to architect, build, and ship AI-powered applications. Program Structure The bootcamp follows a hybrid learning model that maximizes flexibility while ensuring hands-on engagement. Starting with the Summer Cohort on June 9, you'll participate in virtual training sessions led by experienced AI practitioners. The program culminates in an intensive in-person segment from October 27-29, 2026 at the Hyatt Regency in Burlingame, California, integrated with the main ODSC AI West conference. This dual-format approach allows you to build foundational knowledge remotely while maintaining your current work commitments, then apply those skills in collaborative, hands-on projects during the in-person sessions. You'll also gain full access to ODSC AI West's conference tracks, expo, and networking events. What You'll Learn The curriculum focuses on production-grade AI engineering, covering: - LLM development and deployment — Fine-tuning, prompt engineering, and optimization techniques - Agentic AI systems — Building autonomous agents and workflow automation - AI Engineering fundamentals — MLOps, model serving, monitoring, and scaling - Real-world implementation — Moving from prototype to production with confidence Organized by Open Data Science Conference, which has spent 11 years training thousands of AI engineers and data scientists, the Accelerator draws on ODSC's deep expertise in practical AI education. The program features specialization tracks tailored to different AI engineering domains, allowing you to focus on the areas most relevant to your career goals. Who Should Attend This bootcamp is designed for professionals who already work with AI tools and are rea

⌖ Sheffield · The Edge, University of Sheffield, 34 Endcliffe Crescent, Sheffield, S10 3ED

Hosted by APRIL

The APRIL AI Hub Annual Summit 2026 brings together researchers, practitioners, and innovators at the forefront of artificial intelligence and machine learning for a full day of knowledge sharing and collaboration in Sheffield. Taking place at The Edge at the University of Sheffield, this conference serves as the flagship annual gathering for the APRIL (AI for Precision Medicine and Healthcare, Privacy, Reproducibility, Interpretability, and Learning) community. As the second annual summit following the inaugural event in Edinburgh, this conference continues APRIL AI Hub's mission to advance responsible AI research and practice across healthcare, precision medicine, and beyond. The summit provides a vital platform for cross-sector dialogue between academic researchers, industry partners, healthcare professionals, and policy makers working at the intersection of AI, ethics, and real-world applications. What to Expect While the detailed programme is still being finalised, attendees can expect a comprehensive agenda featuring: - Keynote presentations from leading figures in AI research and healthcare innovation - Research showcases highlighting cutting-edge work in precision medicine, privacy-preserving AI, reproducible research methodologies, and interpretable machine learning - Panel discussions exploring the ethical, regulatory, and practical challenges of deploying AI systems in sensitive domains - Networking opportunities to connect with peers across academia, industry, and healthcare sectors - Poster sessions and demonstrations of ongoing research projects Who Should Attend This summit is designed for: - AI and machine learning researchers working on healthcare applications - Data scientists and engineers building trustworthy AI systems - Healthcare professionals interested in AI-driven precision medicine - Policy makers and ethicists concerned with responsible AI deployment - PhD students and early-career researchers in AI and related fields - Industry partners exploring AI applications in regulated environments About APRIL AI Hub The APRIL AI Hub represents a collaborative initiative advancing responsible AI research with particular emphasis on healthcare applications, data privacy, reproducible science, interpretable models, and robust learning systems. Previous APRIL events have established a strong reputation for bringing together diverse perspectives on the challe