Accelerate Lunchtime Seminar Series

⌖ 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 · King's College

Hosted by King's College Cambridge

Explore how AI can advance women’s health, and how policy can address equity, governance and trust, at King’s College in Cambridge on 9 November 2026. This in-person, policy-focused event examines digital health technologies ranging from reproductive health tracking apps and diagnostic AI to large-scale health data platforms. Discussions will consider their potential to improve historically under-researched areas such as endometriosis, alongside questions about equitable access, responsible governance and patient trust. Organised by the AI for Women’s Health Interest Group at the Alan Turing Institute and Teesside University, in partnership with King’s E-Lab, the 3.5-hour session aims to create new connections, surface emerging ideas and identify future research priorities. Speakers - Dr Francesca Gaccioli, University of Cambridge researcher in placental pathophysiology, pregnancy complications, biomarkers and diagnostic tools, and co-founder of the FibroidsFREE advocacy initiative. - Clarisa Lordache, founder and president of Romania’s Eu și Endometrioza Association and creator of the patient-focused documentary Endodyssey. - Dr Roser Vento-Tormo, Wellcome Sanger Institute group leader and AITHYRA Global Adjunct Principal Investigator, whose lab combines spatial genomics, AI and gene editing to study reproductive tissues. The event runs 9:30am–1pm on Monday 9 November 2026 at King’s College, King’s Parade, Cambridge. Attendance is strictly ticketed. Every guest needs a valid ticket or registration, and admission remains at the discretion of the College Porters subject to College access requirements. Get tickets

⌖ 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

⌖ Cambridge · The Glasshouse, Innovate Cambridge

Hosted by Cambridge AI

Learn how AI founders adapt their products, technology and go-to-market strategies at this Cambridge AI meetup on 24 November 2026 in Cambridge. Taking place from 5:30pm to 7:30pm GMT at The Glasshouse, Innovate Cambridge, the event features candid founder stories about building AI businesses in a fast-changing market. The discussion will cover the original problems each company set out to solve, how their approaches evolved and how advances in AI affected both technical decisions and commercial strategy. Speakers - Jonathan Williams of Antare, whose team is tackling the challenge of interpreting data from body-worn and fixed cameras to support emergency services. - Justinas Kairys of Opendatabay, who is building a marketplace connecting buyers and sellers of AI training data. After the talks, attendees can meet other members of the local AI community over drinks and pizza. The meetup is organised by Cambridge AI with support from Grounded AI and RedTech Recruitment, and is hosted by Innovate Cambridge at The Glasshouse, 100 Hills Road. This event is particularly relevant to AI founders, engineers, product builders and anyone interested in the practical realities of taking an AI business from an initial problem to market. Register for Building an AI business

Sponsors: Grounded AI · RedTech Recruitment

◎ 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

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⌖ 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.