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See upcoming events in CambridgeCambridge AI in Education monthly meetup #2 — Tuesday 3 March 2026, in-person at Cambridge University Press & Assessment, Room SG-1/2/3. Short talks, open sharing, and informal networking for Cambridge’s AI x Education community.
Join a focused gathering where colleagues across Cambridge who are exploring, researching, or building with AI in education come together to exchange ideas, learn from one another, and spark collaboration. This month’s session features a mix of concise lightning talks (10 minutes each), open sharing, demonstrations, and time for informal networking. Whether you’re developing new AI-driven teaching techniques, piloting educational technologies, or simply curious about the latest in AI for learning, this is a space to connect with peers, get feedback, and stay inspired.
Event details:
What to expect:
For more information on what Cambridge University Press & Assessment is doing in AI, visit their AI - embracing innovation page, and for broader Cambridge AI info see the University’s AI resources. This event is part of Cambridge’s ongoing AI in Education community-building efforts.
Registration: This is an in-person event; tickets are available through the event page. If you’re part of Cambridge and you’d like to attend, please check the event page for eligibility details and any guest access considerations.
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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.
Cambridge · The Glasshouse @InnovateCambridge
Hosted by Cambridge Centre for Data-Driven Discovery
Explore how the Financial Times turns data and AI strategy into organisational value with Chief Data Officer Kate Sargent at this University of Cambridge seminar. From research to real-world AI Taking place in person on Tuesday 27 October 2026, from 4:00pm to 5:00pm, this Beyond Academia seminar offers a practical perspective on deploying data science and artificial intelligence beyond the university environment. The session will be held at The Glasshouse @InnovateCambridge, 100 Hills Road, Cambridge, CB2 1LQ. The Beyond Academia: AI & Data Science Applications series is designed to bridge the gap between high-level research and implementation inside organisations. Invited leaders and professionals examine the technical, architectural and operational realities of AI innovation while introducing attendees to career opportunities outside academia. Hear from Kate Sargent Kate Sargent, Chief Data Officer at the Financial Times, is responsible for the organisation’s Data and AI Strategy and for creating value from its data assets. Since joining the FT in 2023, she has led its award-winning Data & AI Governance, Data Science & AI, Analytics, Research and Business Intelligence disciplines. Kate brings 30 years of experience across major consumer-facing organisations in retail, travel and media. Her work focuses on using data to understand and influence customer behaviour and generate commercial value. Alongside her executive role, she is an industry commentator, board adviser and mentor, with a particular commitment to early-years skills development and increasing awareness of careers in data and analytics. Attendees can expect insight into: - How data and AI strategy operates within a global media organisation - The challenges and opportunities involved in implementing AI innovation - The role of governance, analytics, research and business intelligence - Translating data assets into practical and commercial value - Non-academic career pathways in data science and AI The format is an engaging one-hour talk with plenty of opportunity for audience Q&A, giving researchers and students direct access to an experienced data leader. Who should attend?… Register for this event
Sponsors: Bennett School of Public Policy · C2D3
Cambridge · West Hub, Room E, University of Cambridge
Explore how cutting-edge AI research becomes scalable, real-world products with BBC Head of Applied AI Dr Nikolay Burlutskiy in Cambridge on 10 November 2026. This in-person Beyond Academia: AI & Data Science Applications seminar offers a practitioner’s perspective on moving artificial intelligence beyond research and into complex organisations. Hosted by the Cambridge Centre for Data-Driven Discovery (C2D3), it takes place from 4:00–5:00pm on Tuesday 10 November 2026 in Room E at the University of Cambridge’s West Hub, JJ Thomson Avenue, Cambridge. From AI research to deployment The Beyond Academia series bridges the gap between high-level academic research and real-world implementation. Its invited talks examine the technical, architectural and operational challenges involved in deploying AI innovation, while also highlighting career paths outside academia. The format is an engaging one-hour talk with plenty of opportunity to put questions directly to the speaker. Attendees will hear from Dr Nikolay Burlutskiy, Head of Applied AI at the BBC, where he focuses on translating advanced AI research into scalable products used by millions. His career spans more than 15 years across AI research, technical product development and international enterprise strategy. Burlutskiy’s experience includes: - Serving as Senior Engineering Manager at Mars and leading the architecture and deployment of the Mars AI Experiences platform, an enterprise generative AI capability supporting more than 170,000 associates. - Working as Director of ML & AI at AstraZeneca, where he led scientists and engineers applying generative AI and computer vision to drug discovery, clinical data harmonisation and histopathology automation. - Leading AI technical product development at Sweden’s ContextVision and contributing to the creation of spin-out Inify. - Beginning his industry career as an AI engineer at Samsung Electronics in South Korea. He holds a PhD in AI, has more than 35 peer-reviewed publications and US patents, and contributes to the wider AI community as a speaker, conference organiser and reviewer. Who should attend?… Register for this event
Online
Hosted by Massachusetts Institute of Technology (MIT)
Build production-ready AI and machine learning solutions without writing a single line of code. This comprehensive 12-week online program from MIT Professional Education transforms aspiring data scientists and business professionals into AI practitioners through hands-on, no-code workflows. Starting November 27, 2026, you'll master the latest AI technologies—from supervised learning and neural networks to Generative AI and autonomous agents—using intuitive platforms that eliminate traditional coding barriers. What You'll Master This industry-aligned curriculum covers the complete AI development lifecycle across 10 core modules and additional self-paced content. You'll explore data science fundamentals, prediction methods using regression and neural networks, decision systems, recommendation engines, and computer vision techniques. Advanced modules dive deep into Generative AI foundations, prompt engineering, and Agentic AI—the cutting edge of autonomous intelligent systems. The program culminates with critical training in ethical and responsible AI deployment. You'll work with powerful no-code platforms including KNIME, RapidMiner, Teachable Machine, ChatGPT, Gemini, NotebookLM, and Dall E. These tools enable rapid prototyping, testing, and operationalization of machine learning models without traditional programming knowledge. Hands-On Learning Theory meets practice through 3 comprehensive projects and over 20 real-world case studies spanning hospitality, marketing and advertising, EdTech, healthcare, food and nutrition tech, and e-commerce. You'll transform raw data into actionable business insights, build classification systems, deploy neural network solutions, and create recommendation engines—all using no-code methodologies that reflect current industry practices. World-Class MIT Faculty Learn directly from MIT's leading researchers and educators, including Stefanie Jegelka, Caroline Uhler, John N. Tsitsiklis, Munther Dahleh, and Devavrat Shah. Their expertise ensures you're learning cutting-edge techniques aligned with academic research and industry application. Flexible Online Format This fully online program requires 6-12 hours weekly commitment over 12 weeks (approximately 80 total study hours). The asynchronous format allows you to balance learning with professional and personal commitments while progressing through structured modules. Upon successful completion, you'll receive a Certificat
Cambridge · Madingley Hall Conference Centre
Hosted by Flivo
One-day summit at Madingley Hall Conference Centre, Cambridge on 2026-11-29 exploring how intelligent AI agents are redefining decision-making.
Cambridge · Peterhouse
Hosted by BCS, The Chartered Institute for IT
FAIRS’26 is a one-day, in-person forum in Cambridge for PhD, MRes and MPhil students conducting AI-related research. Held at Peterhouse, Trumpington Street, Cambridge CB2 1RD, the forum gives research students direct opportunities to discuss their work and the realities of postgraduate study with senior scholars, practitioners and fellow attendees. What to expect The programme will cover: - Guidance on conducting AI research and writing a thesis - Advice on preparing for and undergoing a viva - Discussion of career options after a PhD - A chance to present your research through a five-minute PowerPoint presentation, followed by discussion with senior researchers and practitioners This is a focused event for current AI research students rather than a general introduction to artificial intelligence. It runs from 10:30am to 6:15pm on Monday 14 December 2026 and is organised by BCS, The Chartered Institute for IT. See the event details and programme for further information. Refunds are available up to 10 days before the event. Get tickets for FAIRS’26
Create With Conference · Brighton
600+ builders, honest implementation stories and hands-on workshops, once a year. The next edition is being planned.
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