2026 10th International Conference on Advances in Artificial Intelligence (ICAAI 2026)
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About this event
2026 10th International Conference on Advances in Artificial Intelligence (ICAAI 2026)
Date: September 21-24, 2026
Venue: London, UK
Event Type: Academic and Industry Conference focused on Artificial Intelligence
Organized by: The University of Staffordshire
Patrons: Birmingham City University, Middlesex University, Swansea University, Oslo Metropolitan University, Bubo.AI, QAHE at Northumbria University London Campus
Overview: The 10th International Conference on Advances in Artificial Intelligence (ICAAI 2026) is the premier forum for the dissemination of technological advances, research results, and applications in the fields of Artificial Intelligence Methods and Technologies. This conference brings together both industry and academia to exchange ideas face-to-face, providing a valuable opportunity for researchers and industry experts to network and collaborate.
1️⃣ Who attends (BUYERS / ATTENDEES)
ICAAI 2026 attracts a diverse audience including:
- Academic researchers and professors in AI and related fields
- Industry professionals and engineers working in AI development
- Decision-makers from tech companies and startups
- Government and policy advisors interested in AI applications
- Students and PhD candidates in computer science and AI
- Technology vendors and service providers in the AI space
2️⃣ Location + Attendee Geographic Origin
Show Location: London, UK
Attendee Origin: Global, with a strong presence from Europe, North America, and Asia. Past events have had international participation reflecting the global nature of AI research and development.
3️⃣ Audience Reach
Reach Type: Global, with a focus on academic and industry professionals in Artificial Intelligence
ICAAI 2026 has a global audience reach, attracting participants from around the world. The event leverages its academic and industry partnerships to draw a diverse international crowd.
4️⃣ Sample Buyer Company Names + Websites
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Google AI | https://ai.google/ | Research Scientist, AI Development Manager | Leader in AI research and development, likely seeking collaborations and talent |
| 2 | DeepMind | https://www.deepmind.com/ | AI Research Director, Partnerships Manager | Pioneering AI research, especially in general intelligence and ethical AI |
| 3 | IBM Research | https://www.research.ibm.com/ | AI Solutions Architect, Cognitive Computing Manager | Long-standing commitment to AI innovation and enterprise solutions |
| 4 | NVIDIA AI | https://developer.nvidia.com/ai | Director of AI Ecosystem, AI Hardware Solutions Manager | Key player in AI hardware and software solutions, seeking partnerships |
| 5 | Microsoft Research | https://www.microsoft.com/en-us/research/ | Principal Research Scientist, AI for Social Good Lead | Extensive AI research with a focus on both technical and societal impacts |
| 6 | Amazon AI | https://ai.amazon.com/ | Director of Machine Learning, Alexa AI Manager | Major investor in AI applications, from cloud services to consumer products |
| 7 | Facebook AI Research (FAIR) | https://ai.facebook.com/ | Research Scientist, Open Source AI Lead | Active in open-source AI projects and advancing AI research |
| 8 | Intel AI | https://www.intel.com/content/www/us/en/ai.html | AI Software Director, Data Science Manager | Focus on AI hardware and software optimization for various industries |
| 9 | SAP AI | https://www.sap.com/ai.html | AI Business Development Manager, Enterprise AI Solutions Lead | Integrates AI into enterprise software solutions for business optimization |
| 10 | Siemens AI | https://new.siemens.com/global/en/companies/innovation/ai.html | Head of AI Innovation, Industrial AI Applications Manager | Applies AI to industrial and manufacturing processes for efficiency |
5️⃣ Job Profiles, Industries & Event Type
Best Job Profiles to Target:
- Research Scientists in AI
- AI Development Managers
- Machine Learning Engineers
- Director of AI Research
- AI Product Managers
- Academic Researchers and Professors
- AI Ethics and Policy Advisors
- AI Solutions Architects
- Enterprise AI Integration Managers
Industries:
- Information Technology
- Artificial Intelligence
- Research and Development
- Education and Academia
- Software Development
- Consulting Services
- Government and Public Sector
- Healthcare and Life Sciences
- Financial Services
Event Type: Academic and Industry Conference focused on Artificial Intelligence, including keynote speeches, technical sessions, workshops, and networking opportunities.
6️⃣ Estimated Attendance
Estimated Total Footfall: Based on past conferences and the growth of the AI field, ICAAI 2026 is expected to attract around 500-800 attendees, including researchers, industry professionals, students, and exhibitors.
7️⃣ Key Focus Areas & Buyer Engagement
Key Focus Areas:
- Artificial Intelligence Research and Development
- Machine Learning and Deep Learning
- Natural Language Processing and Computer Vision
- AI Ethics and Responsible AI
- AI Applications in Industry and Society
- AI Hardware and Software Solutions
Buyer Engagement Angle: Position the event as a premier platform for connecting with leading AI researchers, industry innovators, and decision-makers. Highlight opportunities for collaboration, talent acquisition, and showcasing cutting-edge AI technologies and research findings.
8️⃣ Client-Product Fit Note
Please share your client's website to tailor the buyer list and engagement strategy. Depending on the client's product or service, the focus may vary:
- AI Research Tools: Target academic researchers, AI lab directors, and university representatives.
- Enterprise AI Solutions: Focus on industry decision-makers, AI product managers, and enterprise software directors.
- AI Talent Acquisition: Engage with HR managers, recruitment agencies, and companies expanding their AI teams.
- AI Hardware: Connect with hardware developers, solutions architects, and companies integrating AI into their products.
9️⃣ Final Recommendation
ICAAI 2026 is an excellent opportunity for companies and institutions involved in AI research and development. With its global reach and focus on both academic and industry applications, it provides a unique platform for networking, collaboration, and showcasing innovations. The event is particularly valuable for those seeking to engage with a high concentration of AI experts and decision-makers in one place.
Quality Rating for B2B Attendee-List Sales: 9/10
Strong academic and industry presence, global audience, and a wide range of AI focus areas make this event highly valuable for B2B engagement and attendee list sales.
Data sheet
2026 10th International Conference on Advances in Artificial Intelligence (ICAAI 2026) – Event Attendee & Buyer Profile Analysis
Event date: September 21–24, 2026
Location: 1 America Square, London, England, United Kingdom
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 10th International Conference on Advances in Artificial Intelligence (ICAAI 2026) |
| Event Date | September 21–24, 2026 |
| Event Status | Upcoming |
| Venue | 1 America Square (user-provided venue detail; not explicitly verified in the official website text excerpt) |
| City | London |
| State / Region | England |
| Country | United Kingdom |
| Organizer | ICAAI 2026 Conference Committee; sponsored by The University of Staffordshire |
| Official Event Website | www.icaai.org |
| Event Type | Academic and industry conference |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Education & Training |
| Audience Reach | Global |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for headcount; high for dates, city, country, theme, and sponsor/patron information based on the official website. |
| Main Purpose of Event | To present peer-reviewed AI research, enable academic-industry exchange, support networking, and showcase advances in artificial intelligence methods, technologies, and applications. |
About the Event
ICAAI 2026 is the 10th edition of an international conference focused on advances in artificial intelligence. According to the official event website, the conference will take place in London, UK, during September 21–24, 2026, and is sponsored by The University of Staffordshire with named patrons including Birmingham City University, Middlesex University, Swansea University, Oslo Metropolitan University, Bubo.AI, and QAHE at Northumbria University London Campus.
From a commercial intelligence perspective, this is a specialist knowledge and networking event rather than a mass-market expo. Its value lies in access to AI researchers, university labs, technical leaders, startup founders, applied AI practitioners, and selected institutional stakeholders exploring AI methods, technologies, publications, partnerships, and future collaboration opportunities. The event is relevant for B2B outreach where the target offer supports AI research, enterprise AI deployment, data infrastructure, computing, education, software, advisory services, or technical partnerships.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Academic researchers and professors | Universities, AI research centers, labs | Influence tool selection, research partnerships, dataset use, publication collaborations | High relevance for AI software, cloud credits, compute, data tools, research platforms, and academic partnerships |
| Industry AI professionals and engineers | AI startups, software firms, enterprise innovation teams | Technical evaluators and solution recommenders | Strong fit for MLOps, LLM tooling, data engineering, APIs, and technical service providers |
| Technology decision-makers | Tech companies, digital transformation teams, applied AI divisions | Budget holders or pilot sponsors for AI tools and partnerships | Relevant for enterprise platforms, integration services, model deployment, and AI consulting |
| University administrators and program leaders | Higher education institutions, academic departments | Influence education technology, partnerships, event participation, and research funding use | Good fit for learning platforms, research services, recruitment tools, and institutional collaborations |
| Government and policy stakeholders | Public sector innovation units, AI policy groups, research funding bodies | Policy influence, grant direction, pilot program interest | Selective relevance for public-interest AI, compliance, ethics, and government-approved technology solutions |
| Students and PhD candidates | Graduate programs, AI labs, doctoral cohorts | Future users and researchers; limited current purchasing authority | Useful for adoption, awareness, and pipeline building rather than immediate sales |
| Technology vendors and service providers | AI software companies, infrastructure providers, consultancies | Potential partners, channel allies, and ecosystem collaborators | Relevant for partnership development, co-selling, and integration discussions |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| London | Local universities, AI startups, enterprise technology teams, innovation networks | High | London is a major UK hub for AI research, fintech, enterprise software, and academic collaboration. |
| England | Researchers, faculty, students, and technology professionals from English institutions and businesses | High | Strong feeder market from London, Birmingham, Manchester, Bristol, Cambridge, Oxford, and surrounding regions. |
| United Kingdom | National academic and applied AI community | High | Patron universities listed on the official site support national draw. |
| Europe | Researchers and institutional partners from European universities and AI ecosystems | Medium to High | International patron presence includes Oslo Metropolitan University, supporting European reach. |
| International | Global academic authors, speakers, and specialist AI participants | Medium | Official website positions ICAAI as an international conference with worldwide sponsor visibility and publication appeal. |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event is explicitly international, has a multi-country patron profile, and is positioned as a forum for global academic and industry exchange in artificial intelligence. |
| National | Secondary practical reach | The UK, especially England and London, is likely to provide a strong concentration of physical attendees and institutional participants. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| The University of Staffordshire | Academic sponsor / institutional buyer | Official sponsor named on the conference website; relevant for research tools, AI labs, education technology, and institutional partnerships. | staffs.ac.uk | Professor of AI, Head of School, Research Director, IT Director, Procurement Manager | Confirmed Sponsor / Exhibitor |
| Birmingham City University | Academic patron / institutional buyer | Official patron; likely relevant for AI research programs, learning technologies, research infrastructure, and academic collaboration. | bcu.ac.uk | Dean, Professor, Research Lead, Digital Innovation Director, Procurement Officer | Confirmed Sponsor / Exhibitor |
| Middlesex University | Academic patron / institutional buyer | Official patron and a London-based higher education institution with potential relevance for AI teaching, research, and applied innovation tools. | mdx.ac.uk | Head of Department, Professor, Director of Research, CIO, Procurement Manager | Confirmed Sponsor / Exhibitor |
| Swansea University | Academic patron / institutional buyer | Official patron; relevant for research compute, AI software, data science infrastructure, and university-industry partnerships. | swansea.ac.uk | Professor, Director of Research, Lab Manager, IT Director, Strategic Sourcing Manager | Confirmed Sponsor / Exhibitor |
| Oslo Metropolitan University | International academic patron / institutional buyer | Official patron, indicating cross-border academic participation and European research engagement. | oslomet.no | Research Group Leader, Professor, Innovation Director, IT Director, Procurement Lead | Confirmed Sponsor / Exhibitor |
| Bubo.AI | Industry patron / AI company | Official patron from the commercial AI sector; relevant for partnership, product integration, and technical collaboration conversations. | bubo.ai | Founder, CTO, Head of AI, Product Director, Partnerships Director | Confirmed Sponsor / Exhibitor |
| QAHE at Northumbria University London Campus | Education patron / institutional buyer | Official patron; relevant for executive education, academic technology, AI curriculum support, and industry partnership opportunities. | qahe.org.uk | Campus Director, Academic Director, Program Lead, IT Manager, Procurement Officer | Confirmed Sponsor / Exhibitor |
Note: The official website content provided confirms sponsor and patron organizations. A current-year attendee list or buyer directory was not publicly confirmed in the supplied official materials.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Research Lead in AI | Research / Academic | Senior | Core conference participant with influence over tool adoption, lab partnerships, and collaboration decisions. |
| 2 | Head of AI / Head of Machine Learning | Engineering / AI | Director / VP | Relevant for product evaluation, pilot sponsorship, and strategic AI partnership decisions. |
| 3 | CTO | Technology | C-Level | Useful for high-level AI infrastructure, architecture, and vendor selection discussions. |
| 4 | Director of Research | Research / Innovation | Director | Strong fit for research platforms, grant-aligned solutions, and technology partnerships. |
| 5 | AI Engineer / Machine Learning Engineer | Engineering | Manager / Individual Contributor | Hands-on evaluator of APIs, model tooling, workflow automation, and technical integrations. |
| 6 | Product Director / Product Manager | Product | Manager / Director | Relevant where AI capabilities are being embedded into products and services. |
| 7 | IT Director | IT | Director | Important for deployment, security, integration, and institutional technology procurement. |
| 8 | Partnerships Director | Partnerships / Business Development | Director | Useful for research alliances, ecosystem partnerships, and co-development opportunities. |
| 9 | Procurement Manager / Strategic Sourcing Manager | Procurement | Manager | Relevant for universities and institutions purchasing software, equipment, and services. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Broadest fit for AI solution builders and adopters. | AI software, services, and integration outreach |
| 2 | Computer Software | Core commercial audience for AI products and research commercialization. | Product teams, CTOs, AI platform buyers |
| 3 | Research | Highly aligned with conference publishing and academic collaboration. | Research labs, innovation centers, grant-linked buyers |
| 4 | Higher Education | Confirmed patron and sponsor profile is heavily university-led. | Academic departments, research offices, campuses |
| 5 | Education Management | Relevant for institutional program delivery and edtech-linked AI use cases. | Learning technology and curriculum support |
| 6 | Computer Hardware | AI research frequently requires compute infrastructure and edge devices. | GPU, workstation, and lab hardware sales |
| 7 | Computer Networking | Supports infrastructure-heavy AI deployments and campus networks. | Connectivity, data movement, and infrastructure modernization |
| 8 | Computer & Network Security | Relevant where AI systems intersect with model security, data privacy, and governance. | Secure AI deployment and institutional compliance |
| 9 | Government Administration | Selective fit for AI policy, funding, and public innovation stakeholders. | Public-sector AI pilots and policy engagement |
| 10 | Management Consulting | Consultancies often attend AI forums for thought leadership and partnership development. | AI advisory and transformation services |
| 11 | Information Services | Data-centric organizations align with AI application and model training needs. | Data platforms, enrichment, and knowledge systems |
| 12 | Internet | Internet-native firms are major adopters of AI products and talent. | AI-enabled products, personalization, automation |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not confirmed | Official website excerpt reviewed | No public attendee count was stated in the supplied official content. |
| Exhibitor count | Not publicly confirmed | Not confirmed | Official website excerpt reviewed | Conference appears sponsor/patron-led rather than exhibition-led in the available materials. |
| Buyer count | Not publicly confirmed | Not confirmed | Official website excerpt reviewed | No buyer or delegate segmentation count published in supplied text. |
| Speaker count | Not publicly confirmed | Not confirmed | Official website excerpt reviewed | The site menu references keynote and invited speakers, but the supplied content does not provide a count. |
| Sponsor / patron organizations visible | 7 named organizations | Confirmed | Official homepage text | 1 sponsor and 6 named patrons were listed in the supplied official website content. |
| Historical attendance | Historical attendance figures not publicly confirmed in supplied source | Historical / unavailable | Official website excerpt reviewed | Prior editions are listed by location, but attendee counts were not provided in the source text. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Artificial Intelligence research | Access to current methods, publication channels, and collaboration opportunities | Research demos, academic partnerships, lab support discussions | Research platforms, datasets, compute, analytics tools |
| Machine learning and model development | Model training, tuning, experimentation, deployment, and validation | Technical workshops and architecture-level conversations | MLOps platforms, inference tooling, monitoring, model management |
| Industry-academia collaboration | Partnerships, pilots, shared research, talent pipelines | Joint project discovery and co-development meetings | Consulting, partnership programs, sponsored research support |
| AI applications | Use-case validation and implementation insights | Case-study outreach and targeted follow-up by vertical | Applied AI software, integration services, domain solutions |
| Publication and dissemination | Peer-reviewed visibility and conference proceedings publication | Outreach tied to research support and scientific communication | Authoring tools, research workflow software, publishing support services |
| AI education and talent development | Curriculum support, learning tools, practical AI skill building | Institutional meetings with academic leaders and program managers | E-learning, certification tools, education content, lab environments |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong for AI tools, research software, education technology, compute, consulting, and institutional partnerships. |
| Decision-maker availability | Medium | Conference should include senior researchers and technical leaders, but not all attendees will control budget directly. |
| Data collection potential | Medium | Useful for attendee intelligence and partner mapping, but public attendee count and attendee directory visibility are limited in current source materials. |
| Apollo targeting potential | High | Clear targeting exists across higher education, research, AI startups, software firms, and innovation teams. |
| Geographic targeting potential | High | Can be focused on London, the UK, and European AI ecosystems. |
| Best outreach approach | High | Use research-led outreach, collaboration framing, technical value propositions, and event-specific messaging rather than hard sales positioning. |
| Overall lead quality | High | Best for specialized B2B campaigns aimed at AI research, applied AI, and institutional technology buyers. |
| Best use case | High | Ideal for lead generation, partner discovery, academic account mapping, and niche attendee list building based on confirmed organizers, patrons, and speaker ecosystems. |
| Limitations / risks | Medium | Not a mass procurement event; public attendee figures and direct buyer lists were not confirmed in the supplied official content. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Research; Higher Education; Education Management; Computer Hardware; Computer Networking; Computer & Network Security; Government Administration; Management Consulting; Information Services; Internet | Capture the most relevant AI research, academic, and applied technology organizations |
| Departments | Engineering; Information Technology; Research; Education; Product; Business Development; Procurement | Focus on technical, institutional, and partnership-led buyers |
| Seniority | C-Level; VP; Director; Head; Manager; Professor / Lead equivalent where title mapping allows | Prioritize strategic and technical decision influencers |
| Job titles | CTO; Head of AI; Head of Machine Learning; Director of Research; Professor of AI; Research Lead; AI Engineer; Machine Learning Engineer; IT Director; Product Director; Partnerships Director; Procurement Manager | Create event-adjacent target lists for likely attendees and buyer-side stakeholders |
| Geography | United Kingdom; England; London; Europe; Norway; selected international AI hubs | Align with host-market and likely international institutional participation |
| Employee size | 11-50; 51-200; 201-500; 501-1000; 1001-5000; 5001+ | Cover AI startups through large universities and enterprise technology organizations |
| Keywords | artificial intelligence; machine learning; deep learning; generative AI; research lab; computer vision; natural language processing; data science; MLOps; AI ethics; academic research | Increase relevance to AI-focused teams and institutions |
| Technologies | Use when relevant: cloud AI stack, Python ecosystem, ML platforms, data infrastructure tools | Narrow toward technically mature AI buyers |
| Revenue range | Optional; not essential for higher education and research targets | Useful mainly for commercial software and AI vendor accounts |
| Company type | Private; Public; Educational Institution; Nonprofit; Government where available | Preserve broad event fit across academia and industry |
Suggested Apollo Search Logic: ("artificial intelligence" OR "machine learning" OR "generative AI" OR "deep learning" OR "computer vision" OR "natural language processing" OR MLOps OR "AI research") AND (CTO OR "Head of AI" OR "Director of Research" OR Professor OR "IT Director" OR "Partnerships Director") AND (United Kingdom OR London OR Europe).
Client Fit Review Required
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICAAI 2026 Official Website | Official event website | Confirmed event name, London location, UK country, dates, sponsor, named patrons, event positioning, proceedings information, and submission deadlines | High |
| Official website text excerpt supplied in request | Primary source content provided by user | Used as the primary source of truth for dates, city, country, sponsor and patron list, and event purpose | High |
| User-supplied known event details | Secondary input | Venue listed as 1 America Square and region listed as England; venue remains secondary because it was not explicitly visible in the supplied official website text excerpt | Medium |
Verification note: No public attendee directory, exhibitor count, or official attendance figure was visible in the supplied official source content. This event appears suitable for targeted B2B attendee list building and partner mapping, but best results will come from role-based Apollo targeting and confirmed sponsor/patron ecosystem research rather than assuming a large public trade-show-style buyer list.
🎯 Selling to this event's audience? Get a free tailored buyer list
Tell us your work email and our AI instantly builds a buyer list matched to 2026 10th International Conference on Advances in Artificial Intelligence (ICAAI 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
🔒 Get my buyer details Free · ~20 seconds