Artificial Intelligence
Future Telecoms
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Foresight Live: The convergence of critical technologies in AI and telecoms – video
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AI meet-ups and events
Events and conferences covering AI, machine learning, and much more
These events offer great opportunities for networking, learning, and exploring the latest breakthroughs and trends in the field. We will continue to add events to this list as they are confirmed. If you have an event or conference that you think we should feature, please get in touch with the team.
SuperAI Conference – Singapore (18-19 June)
Why attend: Asia’s ultimate AI experience – packed with visionary keynotes, cross-sector innovation, and serious networking. From brain-computer interfaces to industrial robotics, SuperAI offers a global view of AI’s next wave in one of the world’s most dynamic regions.
Who it’s for: Academics, start-up founders, corporate AI strategists, and global investors.
AI for Good Global Summit 2025 – Geneva, Switzerland (8-11 July)
Why attend: This is AI with a mission. Hosted by the UN, the summit is a multidisciplinary gathering focused on solving global challenges with ethical and inclusive AI. From food security to digital inclusion, it’s where social impact meets machine intelligence.
Who it’s for: Ethicists, humanitarian technologists, policy researchers, and anyone passionate about tech for good.
International Joint Conference on Artificial Intelligence (IJCAI) 2025 – Montreal, Canada (16-22 August)
Why attend: The academic heartbeat of global AI research. IJCAI is where theoretical innovation meets practical breakthroughs. With global researchers and next-gen AI leaders convening, it’s your front-row seat to the future of intelligent systems.
Who it’s for: AI researchers, PhD students, academic collaborators, and theoretical innovators.
ECML PKDD 2025 – Porto, Portugal (15-19 September)
Why attend: Europe’s leading machine learning and knowledge discovery event, packed with peer-reviewed research and real-world applications. Get deep insights into novel algorithms, theory, and applied systems from top-tier researchers in one of Europe’s most vibrant tech scenes.
Who it’s for: ML researchers, statisticians, and academic data scientists.
The AI Conference SF – San Francisco, USA (17-18 September)
Why attend: A cutting-edge, vendor-neutral forum for exploring practical AI. From AI product development to infrastructure scaling, this is where top minds share how to bring AI from idea to production – without the fluff.
Who it’s for: Applied AI professionals, ML engineers, and enterprise AI teams.
AI & Big Data Expo Europe 2025 – Amsterdam, Netherlands (24-25 September)
Why attend: A high-impact event on the business of AI and data. Discover how large enterprises and disruptive start-ups are using AI to create smarter operations, better services, and measurable value.
Who it’s for: Industry practitioners, analysts, and solution providers.
World Summit AI 2025 – Amsterdam, Netherlands (8-9 October)
Why attend: A massive international gathering of the global AI ecosystem. With deep content and a festival-like atmosphere, this event is where breakthroughs are launched, deals are made, and ethical debates are sparked.
Who it’s for: AI policy experts, innovation teams, tech leads, and academic researchers.
Data & AI Conference Europe 2025 – London, UK (13-16 October)
Why attend: Delve into the challenges and opportunities of data and AI integration at scale. Ideal for those developing governance strategies, building enterprise AI platforms, or leading organisational change through data.
Who it’s for: Data leaders, CDOs, AI/ML platform strategists.
Future of AI 2025 – London, UK (5-6 November)
Why attend: Hosted by the Financial Times, this event unpacks the real business value of AI. Hear from global industry leaders how AI is transforming decision-making, customer experience, and competitiveness.
Who it’s for: Executives, business strategists, and transformation leaders.
NeurIPS 2025 – San Diego, USA (2-7 December)
Why attend: The world’s most prestigious ML research conference. Discover early insights into tomorrow’s algorithms and systems before they go mainstream. If you’re publishing or researching, this is your stage.
Who it’s for: ML researchers, neuroscientists, computational theorists, and AI PhDs.
