2026 7th International Artificial Intelligence and Blockchain Conference (AIBC 2026)
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About this event
2026 7th International Artificial Intelligence and Blockchain Conference (AIBC 2026)
Date: November 20-22, 2026 | Venue: Ritsumeikan University, Osaka, Japan
Welcome to AIBC 2026
The 2026 7th International Artificial Intelligence and Blockchain Conference (AIBC 2026) will convene in Osaka, Japan, from November 20 to 22, 2026, at Ritsumeikan University. This premier global event brings together researchers, engineers, scientists, and industry leaders to explore cutting-edge advancements in artificial intelligence (AI) and blockchain technologies. By fostering collaboration between academia, industries, and research & development organizations, AIBC 2026 aims to accelerate innovation and address open challenges in these transformative fields.
Conference Focus
AIBC 2026 emphasizes the symbiotic relationship between AI and blockchain, where AI enhances blockchain efficiency through intelligent systems, and blockchain provides secure, scalable infrastructure for AI applications. The conference will feature:
- World-class keynote speakers in AI and blockchain domains
- Peer-reviewed technical sessions showcasing original research and industrial applications
- Interdisciplinary discussions on emerging trends and future directions
Target Audience
The conference is designed for:
- Academic researchers in computer science, engineering, and related fields
- Industry professionals developing AI/blockchain solutions
- R&D teams exploring cross-domain applications
- Policymakers and technologists shaping regulatory frameworks
Key Topics of Interest
Submission areas include but are not limited to:
- AI Systems: Neural networks, pattern recognition, intelligent system architectures
- Blockchain Applications: Cybersecurity, economic models, scalability solutions
- IoT Integration: Asset management, platform security, engineering systems
- Domain-Specific Solutions: Healthcare data exchange, transportation management, genomics
Submission & Publication
Call for Papers: Authors are invited to submit original, unpublished work through the Electronic Submission System by July 15, 2026. All submissions undergo double-blind peer review by at least two experts. Accepted papers will be published in the ACM Proceedings after presentation at the conference.
- Submission Deadline: July 15, 2026
- Acceptance Notification: August 5, 2026
- Registration Deadline: August 20, 2026
Why Attend?
AIBC 2026 offers unparalleled opportunities to:
- Network with global experts in AI and blockchain
- Gain insights into industrial applications and academic research
- Explore collaboration opportunities across disciplines
- Present cutting-edge work to an international audience
Contact & Registration
For participation details, visit the official website: AIBC 2026 Official Site. Registration is required for all attendees, with options for authors, delegates, and industry participants. Fast registration channels are available for streamlined access.
Data sheet
2026 7th International Artificial Intelligence and Blockchain Conference (AIBC 2026) – Event Attendee & Buyer Profile Analysis
Event date: November 20–22, 2026
Location: Ritsumeikan University, Osaka, Japan
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 7th International Artificial Intelligence and Blockchain Conference (AIBC 2026) |
| Event Date | November 20–22, 2026 |
| Event Status | Upcoming |
| Venue | Ritsumeikan University |
| City | Osaka |
| State / Region | Osaka Prefecture |
| Country | Japan |
| Organizer | Not publicly identified on the provided official event page |
| Official Event Website | aibc.org |
| Event Type | International academic and industry conference |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research |
| Audience Reach | Global |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for attendance volume; high for date, city, country, venue, and conference focus based on official website text |
| Main Purpose of Event | To convene researchers, engineers, scientists, and industry participants to share peer-reviewed work, technical progress, and application ideas spanning artificial intelligence and blockchain. |
About the Event
AIBC 2026 is an international conference focused on artificial intelligence and blockchain, scheduled for November 20–22, 2026 in Osaka, Japan at Ritsumeikan University. According to the official event website, the conference is designed for researchers from academia, industry, and research & development organizations worldwide, and will include keynote presentations, technical sessions, and peer-reviewed paper presentations.
From a commercial intelligence perspective, the event matters as a specialized knowledge and networking forum where AI, blockchain, IoT, security, health, transportation, and systems engineering topics intersect. While it is not presented as a large-scale trade exhibition or procurement fair, it is relevant for B2B outreach into technical decision-makers, university labs, applied research groups, platform developers, and innovation-oriented industry teams exploring advanced computing, data infrastructure, secure systems, and applied AI use cases.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Academic researchers and principal investigators | Universities, research institutes, labs, graduate schools | Influence research software, datasets, cloud usage, publication partnerships, lab tools, and collaboration platforms | High relevance for research tech vendors, data providers, HPC/cloud suppliers, cybersecurity, and scientific collaboration tools |
| Industry R&D teams | AI software firms, blockchain developers, IoT solution providers, enterprise innovation teams | Evaluate technical partners, platforms, APIs, infrastructure, and applied research partnerships | Strong fit for enterprise software, platform infrastructure, model deployment, integration, and security offerings |
| Engineers and solution architects | Technology companies, blockchain startups, software engineering teams, systems integrators | Technical evaluators and internal influencers for architecture decisions | Useful for technical product demos, proof-of-concept outreach, SDK/API adoption, and developer programs |
| Computer science faculty and departmental leaders | Universities and technical institutes | Influence sponsorships, academic partnerships, curriculum tools, and lab procurement priorities | Relevant for education technology, lab infrastructure, grants collaboration, and academic-industry partnerships |
| Applied AI and blockchain product managers | Software vendors, digital platform companies, enterprise innovation groups | Influence roadmap alignment, partner selection, and use-case prioritization | Good fit for solution mapping, co-development discussions, and use-case discovery |
| Cybersecurity and secure systems specialists | Security teams, blockchain infrastructure providers, applied cryptography groups | Assess trust, resilience, security tooling, and network integrity solutions | High relevance for security monitoring, testing tools, compliance, and blockchain security vendors |
| Innovation and partnership leaders | Corporate R&D, incubators, technology alliances, research partnerships offices | Support partnership formation, pilot programs, and commercialization pathways | Relevant for alliance outreach, academic-industry collaboration, and innovation pipeline development |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Host city | Osaka | Medium | Local draw likely from universities, research labs, and technology firms in the Osaka area |
| Host state / region | Osaka Prefecture / Kansai region | Medium to High | Nearby academic and technology centers in Kansai may contribute attendees |
| Nearby business hubs | Kyoto, Kobe, and wider Kansai innovation corridor | High for academic-industry collaboration | Likely source of faculty, engineers, researchers, and applied technology teams |
| National reach | Japan-wide | High | Official website positions the event as a significant conference in AI and blockchain, supporting national academic and industry participation |
| International reach | Global researchers and R&D organizations | High for specialist delegates | Official text states participation from “all over the globe” and “around the world” |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The official website explicitly states that the conference is intended for researchers from academia, industry, and R&D organizations “all over the globe,” and that it will bring together participants “from around the world.” |
| National | Secondary reach | Japanese universities, research institutions, and domestic technology teams are likely to form a meaningful share of in-person participants due to the Osaka venue. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Ritsumeikan University | Host academic institution | Official venue host for AIBC 2026; relevant for academic partnerships, research tools, computing infrastructure, and conference collaboration | ritsumei.ac.jp | Professor, Associate Professor, Researcher, Lab Director, Department Chair, IT Director | Confirmed Current-Year Participant |
| Association for Computing Machinery (ACM) | Publication ecosystem organization | The official site states accepted papers will be published in ACM Proceedings; relevant for research publication and visibility | acm.org | Publication Manager, Conference Program Lead, Research Partnerships Manager | Confirmed Sponsor / Exhibitor |
| Current-year attendee, buyer, sponsor, and exhibitor organizations | Not publicly disclosed | The provided official website text does not publish a current attendee directory, speaker organization list, exhibitor list, or sponsor roster sufficient to verify additional buyer organizations | — | — | Confirmed data unavailable |
Practical note: based on publicly available information provided, AIBC 2026 currently offers limited verified buyer-company list building. It is better suited for role-based and institution-based targeting than attendee-list sales unless additional official participant data is released.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Principal Investigator | Research / Academic | Senior | Influences lab technology adoption, collaboration partnerships, and research vendor selection |
| 2 | Research Scientist | R&D | Mid-Senior | Direct user and evaluator of AI, blockchain, and data infrastructure products |
| 3 | Head of Research / Lab Director | Research / Innovation | Director | Approves research priorities, strategic partnerships, and major technical investments |
| 4 | CTO | Technology | C-Level | Relevant for AI/blockchain strategy, applied architecture, and innovation partnerships |
| 5 | Director of Engineering | Engineering | Director | Oversees implementation teams that may evaluate enterprise tools and integration partners |
| 6 | AI Engineer / Machine Learning Engineer | Engineering / Data Science | Manager / IC | Important technical influencer for tooling, infrastructure, and deployment platforms |
| 7 | Blockchain Architect / Blockchain Engineer | Engineering / Platform | Manager / IC | Evaluates network design, smart contract infrastructure, security, and scalability solutions |
| 8 | Product Manager, AI / Blockchain | Product | Manager / Director | Useful for partner sourcing, use-case discovery, and solution roadmap alignment |
| 9 | IT Director | Information Technology | Director | Relevant where solutions require infrastructure, networking, cloud, security, or campus deployment support |
| 10 | Partnerships Director / Innovation Manager | Business Development / Innovation | Director / Manager | Supports collaboration deals, pilots, and ecosystem expansion |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Core fit for enterprise AI, blockchain integration, and solution delivery teams | Software platforms, system integration, technical partnerships |
| 2 | Computer Software | Strong fit for AI model builders, blockchain application developers, and tooling vendors | Developer platforms, AI tooling, workflow automation |
| 3 | Research | Official audience includes research and development organizations | Research collaborations, scientific tools, publishing and data services |
| 4 | Higher Education | Universities are a core attendee base and the event is hosted at a university | Lab infrastructure, academic partnerships, grants support, education platforms |
| 5 | Computer & Network Security | Security and trust on blockchains and cyberattacks are official topic areas | Blockchain security, threat analytics, trust and compliance tooling |
| 6 | Internet | Relevant for digital platforms, web-scale applications, and distributed services | Digital product infrastructure and online platform partnerships |
| 7 | Industrial Automation | IoT, system engineering, and intelligent systems are listed focus areas | AI plus IoT applications, automation analytics, secure machine data exchange |
| 8 | Hospital & Health Care | Blockchain for medicine and health care is an official topic | Health data exchange, patient consent, clinical workflow digitization |
| 9 | Medical Devices | Relevant where connected devices, traceability, and secure data environments intersect with conference themes | Device data governance and applied AI integration |
| 10 | Transportation/Trucking/Railroad | Blockchain for travel and transportation is listed as an interest area | Passenger management, logistics transparency, secure transaction workflows |
| 11 | Telecommunications | Strong fit for infrastructure-heavy AI, distributed networks, and secure communication systems | Edge AI, distributed ledgers, trust infrastructure |
| 12 | Management Consulting | Consultants often support enterprise AI and blockchain transformation initiatives | Advisory partnerships, implementation strategy, innovation scouting |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | Official website text provided | No official attendee number found in provided source text |
| Exhibitor count | Not publicly confirmed | Unconfirmed | Official website text provided | Conference appears content-led rather than exhibitor-led |
| Buyer count | Not publicly confirmed | Unconfirmed | Official website text provided | No dedicated hosted buyer or procurement program disclosed |
| Speaker count | Not publicly confirmed | Unconfirmed | Official website text provided | Website confirms keynote speakers but not quantity in provided text |
| Sponsor count | Not publicly confirmed | Unconfirmed | Official website text provided | No sponsor roster disclosed in provided text |
| Historical attendance | Not publicly confirmed in provided source text | Historical evidence unavailable | Official website text provided | Conference history is listed, but no attendance numbers were supplied in the provided source |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Artificial intelligence research | Model development, experimentation, data processing, and research acceleration | Engage through technical demos, benchmarking, and collaboration proposals | AI platforms, compute infrastructure, model operations tools, datasets |
| Blockchain systems | Secure, scalable ledger architecture and application design | Discuss architecture, security, interoperability, and deployment support | Blockchain infrastructure, node services, integration APIs, smart contract tooling |
| AI + blockchain convergence | Trusted automation, verifiable data flows, and intelligent decentralized workflows | Position joint value propositions and applied use cases | Trust layers, auditability solutions, decision automation tools |
| IoT with blockchain | Asset visibility, facilities and system management, secure IoT transactions | Target industrial and facilities innovation teams with applied case studies | IoT platforms, edge analytics, asset management software |
| Cybersecurity | Protection against attacks, trust assurance, and secure blockchain operations | Offer security validation, monitoring, and risk-reduction capabilities | Security testing, monitoring, compliance, threat intelligence |
| Healthcare applications | Consent management, health data exchange, clinical workflow integrity | Engage through regulated-use-case and trust-centered messaging | Health data interoperability, identity, secure records tools |
| Travel and transportation | Passenger management, secure data exchange, process transparency | Connect with operators and innovators exploring distributed trust models | Workflow digitization, traceability, data exchange platforms |
| Academic publishing and peer review | Submission, review, collaboration, and dissemination infrastructure | Support conference operations, academic communication, and content workflows | Conference systems, peer review software, scholarly communication tools |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | Strong for technical, research, and innovation-oriented offerings; weaker for classic procurement-led products because the event is a conference rather than a buying expo |
| Decision-maker availability | Medium | Likely access to faculty leaders, researchers, and technical managers, but fewer pure procurement executives |
| Data collection potential | Low to Medium | Current public participant transparency is limited in the provided source; attendee list building is constrained unless additional official directories appear |
| Apollo targeting potential | High | The conference theme maps well to Apollo filters across software, research, higher education, security, healthcare tech, and industrial IoT |
| Geographic targeting potential | High | Japan, wider Asia-Pacific, and global AI/blockchain ecosystems can be targeted effectively by role and industry |
| Best outreach approach | High-value educational outreach | Use technical case studies, partnership language, research collaboration offers, and architecture-level messaging rather than generic sales pitches |
| Overall lead quality | Medium | Good for specialist B2B and research-led sales motions; not ideal for broad attendee list sales due to limited published participant verification |
| Best use case | Role-based prospecting and partnership targeting | Best for identifying AI/blockchain researchers, university labs, technical product teams, and R&D-focused organizations |
| Limitations / risks | High caution | No public attendance figures, limited current-year participant disclosure, and no evidence of a formal hosted buyer program in the provided official source |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Research; Higher Education; Computer & Network Security; Internet; Industrial Automation; Hospital & Health Care; Medical Devices; Transportation/Trucking/Railroad; Telecommunications; Management Consulting | Maps directly to disclosed AI, blockchain, security, IoT, healthcare, and transportation topics |
| Departments | Engineering; Information Technology; Research; Product Management; Business Development; Education | Targets technical evaluators and collaboration decision-makers |
| Seniority | C-Level; VP; Director; Head; Manager; Senior; Owner for startup ecosystem searches | Captures both strategic buyers and hands-on technical champions |
| Job titles | CTO; Director of Engineering; Head of Research; Lab Director; Professor; Principal Investigator; Research Scientist; AI Engineer; Machine Learning Engineer; Blockchain Architect; Blockchain Engineer; Product Manager AI; Product Manager Blockchain; IT Director; Innovation Manager; Partnerships Director | Best-fit roles for technical sales, partnerships, and research solutions |
| Geography | Japan first; secondary APAC; global for conference-themed account expansion | Aligns with Osaka host location and official global audience positioning |
| Employee size | 11–50; 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Covers startups, scale-ups, enterprise innovation teams, and universities/research institutions |
| Keywords | artificial intelligence; AI; machine learning; blockchain; distributed ledger; smart contract; IoT; cybersecurity; knowledge representation; neural networks; pattern recognition; health data; transportation systems | Reflects official topic language and adjacent commercial themes |
| Technologies | Use if available: AI/ML stack, blockchain stack, cloud infrastructure, data platforms, IoT stack, security platforms | Improves targeting precision for technical solutions |
| Revenue range | Optional; use only if solution requires enterprise budget threshold | Helps segment enterprise vs. academic vs. startup accounts |
| Company type | Private; Public; Educational Institution; Research Organization | Broadens coverage across commercial and academic participants |
Suggested Apollo Search Logic: (“artificial intelligence” OR AI OR “machine learning” OR blockchain OR “distributed ledger” OR “smart contract” OR IoT OR cybersecurity) AND (research OR engineering OR product OR innovation) AND (Japan OR Osaka OR Kansai OR APAC). For higher education targeting, combine university/research institution filters with titles such as Professor, Principal Investigator, Lab Director, Research Scientist, and IT Director.
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| AIBC 2026 Official Website | Official event website | Event title, dates, city, country, venue, audience description, call for papers timeline, global positioning, publication statement, and listed topic areas | High |
| Ritsumeikan University | Official institution website | Host institution domain for venue organization reference | High |
| ACM | Official organization website | Reference entity for the official website statement that accepted papers will be published in ACM Proceedings | High for organization identity; event-role detail depends on official AIBC statement |
| Verification note | Research constraint note | The provided official source text did not disclose organizer name, attendance numbers, attendee directory, sponsor roster, exhibitor roster, or full speaker organization list. These fields are therefore marked unconfirmed rather than estimated. | High |
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