Da Nang AI & No-Code Meetup

◎ Online

Hosted by Big Data Conference Europe

Big Data Conference Europe returns for its 10th edition, bringing together 700+ developers, data engineers, and AI professionals from 35+ countries for four intensive days of technical learning and hands-on experience. Taking place in Vilnius, Lithuania from November 24–27, 2026, this hybrid conference offers both onsite and online attendance options, making it accessible to a global audience. What to Expect The conference opens with a full day of hands-on workshops on November 24, followed by three days of technical talks across four specialized tracks. With 60+ sessions covering the latest developments in AI, data engineering, machine learning, and cloud technologies, this is a focused technical event designed for practitioners who build and deploy data systems at scale. The 2026 edition focuses on production-ready solutions rather than demos and proofs-of-concept. Expect deep technical content on: Data Engineering, Pipelines & DataOps - Advanced RAG architectures and implementation patterns - Agentic workflows and orchestration frameworks - LLM fine-tuning strategies versus prompt engineering - Evaluation and benchmarking methodologies for LLM systems - Observability and monitoring for GenAI pipelines Real-Time Data & Streaming Architectures - Production implementations with Kafka, Flink, and Spark Structured Streaming - Event-driven architecture patterns - Real-time feature engineering at scale - Streaming ML inference pipelines - Low-latency analytics architectures Who Should Attend This conference is designed for technical practitioners: data engineers, ML engineers, data scientists, software architects, and developers working with large-scale data systems. Whether you're building real-time streaming pipelines, deploying GenAI applications, or managing complex data infrastructure, you'll find practical insights from peers solving similar challenges. Conference Format The event features a cinema-style venue with comfortable seating, excellent acoustics, and large screens ensuring every technical detail is clearly visible. The hybrid format means remote attendees get the same access to talks and Q&A sessions as those attending in person. Beyond the formal sessions, the conference includes interactive elements, networking opportunities, and the chance to connect with industry experts from across Europe and beyond. The organizers emphasize practical, experience-driven content. Speakers are practitioners sharing real-world imple

Airtable

⌖ 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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⌖ Da Nang

Hosted by International Research Forum for Scientific Research (IRFSR)

ICAIRME brings AI, robotics and mechanical engineering researchers together in Da Nang, Vietnam, on 3–4 January 2027 to share research, practical solutions and emerging innovations. Organised by the International Research Forum for Scientific Research, the International Conference on Artificial Intelligence, Robots and Mechanical Engineering creates an interdisciplinary meeting point for academic scientists, engineers, research scholars, practitioners, educators and industry leaders. Its focus is not only on advancing research, but also on encouraging international cooperation and work with tangible real-world impact. What the conference covers ICAIRME centres on the relationship between artificial intelligence, robotics and mechanical engineering. Participants will exchange research results and experiences while examining: - Recent innovations and trends in robotics and artificial intelligence - Applications of AI within mechanical engineering - Practical challenges encountered by researchers and practitioners - Solutions and approaches adopted across the field - Opportunities for cooperation between researchers, international communities and industry The programme is particularly relevant to people conducting or applying research in these areas. It offers experienced academics and industrial representatives a forum for discussion while giving research scholars and educators an opportunity to present work, hear different perspectives and build connections across disciplines. In-person and virtual formats The on-location programme begins at 9:00am with registration and tea or coffee. An inaugural speech and conference theme presentation follows, before an extended poster and physical presentation session. The schedule also includes virtual presentations, a lunch break, an award function and a closing ceremony. In-person attendance provides direct networking, physical conference materials, live Q&A and complimentary refreshments.… Register for this event

⌖ 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