Cloud, Data & AI - Transforming Public Services 2025

⌖ Glasgow · City of Glasgow College, City Campus

Hosted by Ada Scotland Festival

Explore AI, cyber security and digital careers through hands-on challenges and industry insight in Glasgow on 28 October 2026. Future Females in Tech offers an interactive introduction to emerging technology, combining professional perspectives with practical, team-based activities. Presented by the Ada Scotland Festival with City of Glasgow College and Stellar Omada, the afternoon is designed to help the next generation of female digital talent understand both the opportunities and realities of working in technology. The free, three-hour event takes place from 1pm to 4pm on Wednesday 28 October 2026 at City of Glasgow College’s City Campus in Glasgow, in Lecture Theatre C.01.017. What to expect The programme blends discussion, networking and immersive problem-solving: - Women in Tech Panel and Q&A: Hear women working across technology, digital and cyber-related roles discuss their career journeys, achievements, challenges and advice for entering the sector. - AI Escape Challenge: Work with a team to distinguish AI fact from fiction, recognise algorithmic bias and consider the responsible use of artificial intelligence in real-world situations. - Networking break: Meet speakers, industry professionals and other participants over refreshments. - Cyber Escape Room: Delivered through Stellar Omada’s Stellar Elevate programme, this realistic cyber-threat exercise asks teams to identify vulnerabilities, analyse risks and respond as digital challenges evolve. - Wrap-up discussion: Review the afternoon’s lessons and explore routes into further study and careers in computing, cyber security and digital technologies. Rather than focusing only on presentations, the event develops digital resilience, critical thinking, teamwork and cyber awareness through active participation. Attendees will also learn about college, university and industry pathways across Scotland’s technology sector. Who should attend? This event is for people who are female or identify as female, particularly:… Register for this event

Sponsors: Stellar Omada

⌖ Glasgow · Waracle

Hosted by GlasgowJS JavaScript

Learn what happens after you build an app at GlasgowJS’s November meetup, featuring practical talks on app publishing, marketing, recruitment and AI. Taking place on Tuesday 10 November 2026, from 6:30pm to 8:30pm GMT, this Glasgow JavaScript meetup features two sessions: - “Getting started is the easy part”, Frances Maxwell shares insights into publishing and marketing apps. Frances previously spoke at GlasgowJS about building a React Native app in 15 minutes. - Tech recruitment and AI, a lightning talk from Claudia Wilson of Waracle. The event is aimed at people interested in JavaScript, web development and software development. No specific experience level is stated, and the organisers have not published a more detailed agenda. The listing names Waracle, 4, 40 Love Loan, Frederick Street, Glasgow as the venue. However, the event description also says GlasgowJS is looking for a venue and sponsor for this meetup, so attendees should check the booking page for any location updates. GlasgowJS is also inviting speakers and volunteers for future events through its speaking and volunteering form. You can connect with the community through Discord or support the meetup’s running costs on Patreon. Register for the GlasgowJS November meetup

⌖ Glasgow · Technology and Innovation Centre (TIC) Conference, Meetings & Events - University of Strathclyde

Hosted by NeuraSearch Laboratory

Explore how AI is reshaping information overload at a one-day research workshop in Glasgow on 3 December 2026. Hosted by the University of Strathclyde and co-organised with the universities of Wolverhampton and Southampton, this in-person workshop will share findings from OMINO, Overcoming Multilevel INformation Overload, a four-year interdisciplinary research project. Attendees will examine how information overload can be measured, modelled and mitigated as AI changes how information is created, discovered, filtered, interpreted and shared. What to expect The programme is expected to feature: - A keynote and research presentations from OMINO researchers - Work spanning AI, information retrieval, recommendation, social science, neuroscience, journalism, data mining and complexity science - Cross-disciplinary discussion and informal networking - A closing brainstorming session on emerging challenges, future research and continued collaboration The workshop is designed for researchers, PhD students, academics and industry practitioners interested in areas including human-centred AI, search and recommender systems, digital media, cognitive science, user modelling and AI-mediated information environments. The final speaker line-up and programme are still being developed. Registration opens at 08:30, with the workshop beginning at approximately 09:00 and closing around 17:00. It takes place in Conference Room 8 at the Technology & Innovation Centre, University of Strathclyde, 99 George Street, Glasgow G1 1RD. Places are limited, so advance registration is encouraged. The event is presented by NeuraSearch Laboratory. Register for the workshop

⌖ Glasgow · Incremental Group

Hosted by Sarah and gregor s.

Glasgow Azure User Group 54 brings the local cloud community together on 9 December 2026 for Azure discussion, a quiz, networking, food and drinks. Hosted by Sarah and gregor s., this in-person meetup offers a welcoming place to exchange ideas around Microsoft Azure, artificial intelligence, cloud computing and Platform as a Service. It takes place at Incremental Group, 10 Montrose Street, Glasgow, with the event listing running from 5:45pm to 7:45pm GMT. The main presentation slot is still to be confirmed, so a speaker and final session topic have not yet been announced. Based on the group’s stated themes, the evening will be particularly relevant to developers, cloud practitioners and technology professionals interested in Azure, AI and practical cloud best practices. No specific experience level is listed, making it suitable for anyone who wants to learn from and connect with Glasgow’s Azure community. Evening schedule - 5:45pm–6:00pm: Registration and arrival - 6:00pm–6:45pm: Main session, details TBC - 6:50pm–7:00pm: Community quiz - 7:00pm–7:30pm: Food, drinks and informal conversation - 7:30pm: Published agenda finish The combination of a focused technical session and a dedicated social period gives attendees time both to discover new ideas and to meet others working with cloud technology. Food and drinks are included in the programme, and attendees are asked to cancel their ticket if they can no longer attend so the organisers can order accurately. Important attendance information You must RSVP at least 24 hours before the event to attend. Reservations are scheduled to open on Wednesday 28 October at 10:30am. All attendees must follow the group’s Code of Conduct. The organising team will take photographs and film during the evening, and images may be shared by the group, its sponsors or social channels. Anyone who does not want to appear in published material should speak to an organiser at every event they attend. The meetup is supported by Gold Level sponsors Servent and Telefonica Tech. RSVP for Glasgow Azure User Group 54

Sponsors: Servent · Telefonica Tech

⌖ 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