Bristol Data Intelligence Network Meetup — December 2026

⌖ Bristol · DeskLodge House

Hosted by Women's Tech Hub

Workshop Wednesdays is a welcoming tech study, career support and networking evening at DeskLodge House in Bristol on 14 October 2026. Hosted by Women’s Tech Hub, this recurring fortnightly meetup gives women in tech and their allies a safe, supportive place to learn, meet people and work through career questions. The session runs from 6:00pm to 8:30pm BST at DeskLodge House, 2 Redcliffe Way. What to expect The evening has a flexible, informal format rather than a fixed programme. You can use the time to study, work on your own project, discuss your career or simply connect with others interested in technology. Other tutorials may also run during the session, with opportunities to receive career guidance and introductions to additional supportive networks. Workshop Wednesdays also brings together members of the Python Dojo and Bristol Data Science and Machine Learning groups at the same event. That mix makes the meetup useful whether you want to practise technical skills, explore Python, meet people working with data and machine learning, or find peers who understand the realities of building a career in the industry. You can come along to: - Study independently in a supportive environment - Work on a technical or personal project - Meet people interested in Python, data science and machine learning - Ask questions about entering or returning to the tech industry - Discuss staying in the sector, progressing at work or changing direction - Get career guidance and discover other support networks - Network informally over light snacks and drinks Who is it for? All experience levels are welcome. You do not need to be established in a technical role or arrive with a particular project. The event is suitable for people considering a first career in tech, those trying to move up or return after time away, experienced practitioners looking for community, and anyone who would benefit from a welcoming place to learn. Women’s Tech Hub also welcomes male allies. New members are encouraged to attend, and there is no pressure to stay for the full two-and-a-half hours: if your schedule is tight, you can simply drop in, meet the group and say hello. Register for Workshop Wednesdays

⌖ Barcelona · Hotel Catalonia Eixample 1864

Hosted by UBIQ Events

The 2nd MedTech Meets AI Conference brings healthcare technology leaders to Barcelona on 14–15 October 2026 for two days of practical AI insight and industry connections. Hosted by UBIQ Events, this specialist conference explores how artificial intelligence is being applied across medical devices, diagnostics and the wider life sciences sector. Rather than focusing solely on future possibilities, the programme promises real-world case studies, practical applications and expert perspectives on implementing AI in complex healthcare environments. What the conference will cover The two-day agenda will examine several of the most consequential areas where AI is reshaping MedTech: - Transforming disease detection through AI-assisted diagnostics - Medical imaging and the changing role of AI in radiology - Turning medical big data into useful diagnostic insight - AI-powered robotics and advances in surgical precision - Ethical and regulatory considerations for healthcare AI - The challenges, innovations and potential impact shaping AI’s future in MedTech These themes make the event particularly relevant to MedTech executives, healthcare innovators, AI strategists, medical-device professionals, data and analytics leaders, R&D teams, and life sciences decision-makers. The content is aimed at an experienced professional audience looking for implementation lessons, strategic insight and opportunities to compare approaches with peers. Industry speakers The announced 2026 line-up includes leaders working across innovation, AI research, analytics, robotics, manufacturing transformation and digital platforms. Speakers include Mayank Mohun of Siemens Healthineers, Karolina Henzel and Lukasz Nowicki of GE HealthCare, Donnacha Dunleavy of Medtronic, Sertac Guzel of Johnson & Johnson MedTech, and Abouzar Eslami, PhD, of ZEISS Medical Technology. Further perspectives will come from senior figures at Philips, Alcon, Fresenius Medical Care, Zimmer Biomet, Getinge and KARL STORZ. Additional speakers are due to be announced, giving attendees access to a broad cross-section of the organisations developing and deploying AI-enabled medical technology. Venue and tickets The conference takes place from Wednesday 14 to Thursday 15 October 2026 at Hotel Catalonia Eixample 1864, Carrer de Roger de Llúria, 60, in central Barcelona. The event combines

◎ Online

Hosted by The Principal Dev

A virtual conference from The Principal Dev taking place on 14 October 2026, focused on the provocative theme “The $100K Hiding in Your Payroll.” The event is organised by The Principal Dev, which describes itself as a tech leads masterclass. It may be particularly relevant to engineering leaders, tech leads and others responsible for technical teams and payroll budgets. The published listing does not currently include a start time, timezone, speaker line-up, agenda or detailed session topics. Check the event page for the latest programme and booking information before making plans. Register for The $100K Hiding in Your Payroll

⌖ Amsterdam · Amsterdam

Hosted by Knowledge Exchange Network

A two-day, in-person conference in Amsterdam exploring how to validate and apply AI safely across regulated GxP life sciences environments. Taking place 14–15 October 2026, from 8:00am to 5:00pm, Harness the Power of AI in GxP Europe brings together practical use cases, regulatory guidance and validation strategies. Organised by Knowledge Exchange Network, the programme focuses on using artificial intelligence to improve efficiency while protecting compliance, data integrity and accountability. Rather than treating AI as a purely theoretical opportunity, this conference uses case-study-driven sessions to examine implementation in manufacturing, quality control, validation and supply chains. Attendees will hear how regulated organisations can approach AI-driven automation, predictive analytics and continuous process improvement without losing sight of GxP obligations. Regulation, validation and data integrity The regulatory sessions will explore the frameworks and expectations shaping AI adoption in life sciences, including: - FDA guidance concerning AI and machine learning - Part 11 compliance for secure, accurate electronic records - The ISPE® AI Quality and Compliance Initiative - Data integrity challenges in AI-driven processes - Regulatory expectations across global markets - Transparency and accountability throughout AI validation Industry experts will discuss how teams can align AI initiatives with applicable quality and compliance standards, with particular attention to the evidence and controls required when algorithms influence regulated processes. Applied AI use cases The programme also examines practical applications of AI within GxP operations. Case studies and sessions cover: - AI-driven automation in GMP environments - Optimising quality control and manufacturing workflows - Best practices for validating AI algorithms and models - Predictive analytics for preventive maintenance - AI in continuous process improvement - Improving validation speed and accuracy - Applications across manufacturing and supply-chain operations… Register for this event

⌖ Leeds · Platform

Hosted by The Curve

A closed-door Leeds discussion for senior leaders who need to prove whether AI is delivering commercial ROI, not simply generating more activity. Taking place at Platform in Leeds on 14 October 2026, from 8:30am to 10:30am, this focused breakfast session examines how organisations can move from tracking AI output to measuring genuine business impact. It is organised by The Curve and Hopton Analytics. From AI activity to defensible returns Many businesses can identify what AI is doing but struggle to quantify what it returns. Time may be saved without appearing in commercial reporting; licences and pilots can continue without clear ownership of the return; and apparent efficiency gains may be absorbed into costs rather than converted into greater capacity or fee growth. This session is a direct sequel to The Curve’s earlier AI Reality Check discussions in Sheffield and Leeds. It keeps the same reality-first approach while concentrating on one sharper question: is your AI paying for itself, or just staying busy? The conversation will explore: - Where AI is producing a number that can be defended in a board meeting, and where it remains activity without measurable impact - The “efficiency tax” created when saved time is not deliberately converted into value - How leaders can approach build-versus-buy decisions - The commercial risks of turning quickly built internal tools into products - Whether pricing for outcomes rather than hours is a credible option - The cost of investing now compared with the potential cost of waiting Who should attend? The event is designed for directors, C-suite executives and Heads of roles across all industries. It will be particularly relevant to senior leaders and commercial decision-makers responsible for AI investment, operational efficiency, pricing, capacity or technology strategy. The discussion will be led by Paul Ridgway, CEO of The Curve, and Simon Devine, Managing Director of Hopton Analytics. An open, confidential format… Register for this event

Sponsors: CGI

⌖ Edinburgh · Black Medicine Coffee

Hosted by Edinburgh Data Science and AI

Meet Edinburgh’s data science, machine learning and AI community over coffee on Wednesday 14 October 2026, from 11:00am to 1:00pm BST. Hosted by Emily T. for Edinburgh Data Science and AI, this first Data Science Coffee Club offers an informal alternative to the group’s usual speaker events. Head downstairs at Black Medicine Coffee in Edinburgh, buy a drink and connect with other people working in the field. There are no talks, slides, pitches or formal agenda. Instead, conversations may cover: - Current projects and technical problems - Interesting tools, ideas and approaches - Opportunities to collaborate or help one another - Developments across Edinburgh’s data science, ML and AI community The session is primarily for data science and machine learning professionals. You do not need to be a regular member of the Edinburgh community: professionals visiting the city are welcome too. If conversations are still flowing when the event finishes at 1:00pm, attendees may continue over lunch nearby. Register for the Data Science Coffee Club.