4th Tech Summit on Artificial Intelligence & Robotics
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About this event
4th Tech Summit on Artificial Intelligence & Robotics
Date: November 26–27, 2025
Venue: Tokyo, Japan
Description: The 4th Tech Summit on Artificial Intelligence & Robotics brings together leading experts from academia, research institutions, and industry to exchange insights and showcase innovations in AI and robotics. This event, held in Tokyo, Japan, from November 26 to 27, 2025, focuses on themes such as "The Future of AI: Empowering Innovation and Problem-Solving," making it a key platform for professionals to network and collaborate with global peers.
Target Audience: Academicians, Researchers, Scholars, Industry Professionals
Key Features:
- Global networking opportunities with experts
- Presentations on the latest AI and robotics advancements
- Poster and ePoster sessions for research dissemination
- Opportunities for collaboration and partnership
Event Organizer: Allied Conferences
Official Website: https://artificialintelligence.alliedacademies.com/
Data sheet
4th Tech Summit on Artificial Intelligence & Robotics – Event Attendee & Buyer Profile Analysis
Event date: November 26–27, 2025
Location: Tokyo, Japan
Event status: Completed
Research date: June 30, 2026
Event Overview
| Event Name | Requested title: 4th Tech Summit on Artificial Intelligence & Robotics. Official supplied website content currently identifies the event as the 6th International Conference on Artificial Intelligence, Robotics & IoT. |
| Event Date | November 26–27, 2025 |
| Event Status | Completed |
| Venue | Venue not publicly specified in the supplied official page text |
| City | Tokyo |
| State / Region | Not publicly specified in the supplied official page text |
| Country | Japan |
| Organizer | Allied Conferences / Allied Academies (as stated on supplied official page) |
| Official Event Website | artificialintelligence.alliedacademies.com |
| Event Type | International conference / summit focused on AI, robotics and IoT |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Industrial Engineering |
| Audience Reach | Global, based on official positioning as a worldwide gathering of academicians, researchers, scholars and industry participants |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for headcount; high for dates, city, country, organizer and topic positioning |
| Main Purpose of Event | Knowledge exchange, research presentation, global networking, collaboration and innovation discussion across artificial intelligence, robotics and IoT |
About the Event
Based on the supplied official website content, this event is an international AI, robotics and IoT conference organized by Allied Conferences and positioned as a global meeting point for academicians, researchers, scholars and industry professionals. The official page confirms Tokyo, Japan and November 26–27, 2025, and presents the event theme as “The Future of AI: Empowering Innovation and Problem-Solving.”
From a commercial perspective, the event appears stronger for thought leadership, research partnerships, technical networking and innovation scouting than for pure high-volume procurement. It is relevant to suppliers targeting research institutions, enterprise innovation teams, industrial automation stakeholders, AI platform buyers, robotics integrators, and partnership-led business development functions. For attendee list building, it is usable but constrained by limited public disclosure of named attendee, exhibitor, sponsor and buyer-side organizations.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Academic researchers and principal investigators | Universities, engineering faculties, AI labs, robotics institutes | Influence research tool, software, lab equipment and collaboration decisions | High for research software, data platforms, simulation tools, sensors and lab partnerships |
| Industry R&D leaders | Technology companies, industrial firms, robotics developers, automation vendors | Evaluate innovation partnerships, pilot technologies and future product roadmaps | High for AI infrastructure, embedded systems, robotics components and engineering services |
| Innovation and digital transformation teams | Enterprise IT, advanced manufacturing and digital strategy units | Screen emerging AI use cases and deployment partners | Relevant for AI software, computer vision, analytics, cloud and data integration offerings |
| Robotics engineering and product teams | Robotics manufacturers, automation firms, mechatronics teams | Specify hardware, software stacks, controls and integration needs | High for component suppliers, software developers and systems integrators |
| Scholars and doctoral candidates | Higher education and research institutions | Low direct budget authority; high influence on adoption trends and technical evaluation | Useful for awareness building, recruitment and early-stage trial adoption |
| Business development and partnership teams | AI vendors, platform providers, solution partners, accelerators | Source collaboration, licensing and channel opportunities | High for alliance-led sales and strategic relationship building |
| Conference speakers, abstract presenters and poster authors | Mixed academia-industry organizations | Thought leadership influence; often useful entry points for account mapping | Useful for expert-led outreach and credibility-based engagement |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Host city | Tokyo | High | Tokyo is a major hub for technology enterprises, universities, advanced manufacturing and research collaboration |
| Host region | Greater Tokyo / Kanto region | High | Likely draw from nearby universities, laboratories, corporate R&D centers and automation firms |
| Nearby business hubs | Yokohama, Kawasaki, Osaka, Nagoya and other Japanese innovation corridors | Medium to High | Relevant for industrial robotics, mobility, electronics and software stakeholders |
| National reach | Japan-wide | Medium | Official positioning supports attendance from academia and industry across Japan |
| International reach | Asia-Pacific, Europe, North America and global research communities | Medium | Official copy describes a global assembly, but named country participation was not publicly listed in the supplied source |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The official site explicitly frames the event as a global assembly of academicians, researchers, scholars and industry professionals |
| Regional | Secondary practical reach | Tokyo location likely concentrates participation from Japan and wider Asia-Pacific technical communities |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| No official current-year attendee list publicly available | Data availability note | The supplied official source confirms event positioning but does not publish a named attendee, buyer, sponsor, exhibitor or speaker organization list within the provided text | — | — | Confirmed current-year data unavailable |
| No official exhibitor list publicly available | Data availability note | The event appears conference-led rather than expo-led in the supplied source | — | — | Confirmed current-year data unavailable |
| No official sponsor list publicly available in supplied text | Data availability note | A Sponsors section is referenced on the site navigation, but no sponsor organizations were named in the supplied source text | — | — | Confirmed current-year data unavailable |
| No official speaker organization list publicly available in supplied text | Data availability note | Organizing committee and scientific program links are referenced, but named organizations were not available in the provided page copy | — | — | Confirmed current-year data unavailable |
For this event, reliable named buyer-company extraction is limited because the supplied official source does not disclose current-year participant organizations. This reduces direct attendee list confidence and suggests a stronger strategy around role-based Apollo targeting rather than event-confirmed company targeting.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| High | Chief Technology Officer | Technology | C-Level | Owns AI strategy, platform direction and innovation investments |
| High | VP / Director of Engineering | Engineering | VP / Director | Influences robotics architecture, deployment and technology stack choices |
| High | Director of AI / Machine Learning | AI / Data Science | Director | Direct owner of AI adoption, model evaluation and vendor assessment |
| High | Head of Robotics / Robotics Program Manager | Robotics / Innovation | Head / Manager | Relevant for hardware, controls, simulation and integration sourcing |
| Medium | Research Director / Principal Investigator | Research | Director / Senior Individual Contributor | Strong influence on lab tools, research partnerships and grant-based procurement |
| Medium | Innovation Director | Strategy / Innovation | Director | Screens emerging vendors, partnerships and pilot projects |
| Medium | Business Development Director | Business Development | Director | Important for alliance-led sales, co-development and market entry discussions |
| Medium | Procurement Manager / Strategic Sourcing Manager | Procurement | Manager | Relevant where AI infrastructure, devices, components or services require formal purchasing |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| High | Information Technology & Services | Core fit for AI solution providers and enterprise innovation teams | AI software, consulting, deployment and platform adoption |
| High | Computer Software | Directly aligned with AI applications, tools and model-driven solutions | Product-led AI buyers and technical evaluators |
| High | Research | Official audience includes researchers and scholars | Research partnerships, lab tooling and collaboration outreach |
| High | Higher Education | Strong match for university labs and faculty-led attendance | Academic sales, grants, research subscriptions and equipment |
| Medium | Industrial Automation | Robotics and automation overlap is material | Factory robotics, controls, machine intelligence and automation pilots |
| Medium | Mechanical or Industrial Engineering | Relevant for robotics engineering and industrial system integration | Engineering-led robotics purchasing and technical validation |
| Medium | Electrical/Electronic Manufacturing | Relevant for sensors, embedded systems and control hardware | Component and subsystem buyer targeting |
| Medium | Semiconductors | AI acceleration and robotics edge hardware are relevant adjacent areas | Chip, module and embedded platform buyers |
| Medium | Telecommunications | IoT themes can attract connectivity and edge deployment stakeholders | Connected devices, edge analytics and network-enabled AI use cases |
| Medium | Automotive | AI and robotics applications often connect to mobility and autonomous systems | ADAS, automation and mobility innovation programs |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | Supplied official page text | No headcount disclosed |
| Exhibitor count | Not publicly confirmed | Unconfirmed | Supplied official page text | No named exhibitor directory found in supplied text |
| Buyer count | Not publicly confirmed | Unconfirmed | Supplied official page text | Event appears content-led rather than formal hosted-buyer structured |
| Speaker count | Not publicly confirmed | Unconfirmed | Supplied official page text | Scientific program referenced, but no count provided in supplied text |
| Sponsor count | Not publicly confirmed | Unconfirmed | Supplied official page text | Sponsors section exists in navigation, but no sponsor list was captured |
| Historical attendance | Not publicly confirmed | Historical data unavailable | Supplied official page text | No prior-year attendance figures were visible in the supplied source |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Artificial Intelligence | Model development, deployment, evaluation and applied use cases | Thought leadership, demos, benchmarking and technical workshops | AI platforms, data infrastructure, model operations and consulting |
| Robotics | Automation design, controls, perception and deployment support | Engineering-led discussions and solution architecture meetings | Robotics software, sensors, components, simulation and integration services |
| IoT | Connected devices, telemetry, edge intelligence and data collection | Use-case mapping across industrial and research environments | IoT platforms, connectivity, sensors and edge analytics |
| Research collaboration | Joint studies, publications and technology validation | Academic-industry partnership outreach | Research sponsorship, lab access, software licensing and grants support |
| Innovation and problem-solving | Practical applications and measurable business or technical outcomes | Case-study driven prospecting and pilot proposals | Applied AI solutions, automation pilots and proof-of-concept programs |
| Poster and ePoster dissemination | Visibility for emerging research and technical concepts | Early-stage relationship building with researchers and labs | Academic tools, software subscriptions and collaborative programs |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | Strong for research, innovation and technical solution selling; weaker for transactional procurement-led selling |
| Decision-maker availability | Medium | Likely access to technical and research leaders, but not necessarily high volumes of commercial budget owners |
| Data collection potential | Low | Named attendee and buyer-side organization disclosure is limited in the supplied source |
| Apollo targeting potential | High | Role-, industry- and keyword-based targeting can still identify high-fit AI and robotics accounts |
| Geographic targeting potential | High | Japan and Asia-Pacific filters are logical, with optional global technical research expansion |
| Best outreach approach | High | Use thought leadership, technical relevance, collaboration offers and applied use-case messaging |
| Overall lead quality | Medium | Good niche relevance for AI/robotics suppliers; lower confidence for confirmed attendee list monetization |
| Best use case | High | ABM-style outreach to AI, robotics and research organizations rather than broad attendee-list sales |
| Limitations / risks | High | Event title mismatch versus supplied official source, lack of named participants, and absence of public attendance metrics reduce verification depth |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Research; Higher Education; Industrial Automation; Mechanical or Industrial Engineering; Electrical/Electronic Manufacturing; Semiconductors; Telecommunications; Automotive | Capture the closest buyer-side and innovation-side account universe |
| Departments | Engineering; Information Technology; Research; Innovation; Operations; Business Development; Procurement | Map both technical evaluators and commercial adopters |
| Seniority | C-Level; VP; Director; Head; Manager; Partner; Owner | Prioritize decision-makers and influential technical champions |
| Job titles | CTO, CIO, VP Engineering, Director of Engineering, Director of AI, Head of Machine Learning, Robotics Program Manager, Research Director, Principal Investigator, Innovation Director, Business Development Director, Strategic Partnerships Director, Procurement Manager | Improve precision for technical and partnership-led outreach |
| Geography | Japan first; then Tokyo metro; then APAC expansion; optionally Europe and North America for global AI research prospecting | Align with the host market while preserving international conference relevance |
| Employee size | 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Capture scale-up innovators, established enterprises and research-heavy organizations |
| Keywords | artificial intelligence, AI, machine learning, robotics, computer vision, autonomous systems, industrial automation, edge AI, IoT, research lab, smart manufacturing | Surface relevant companies even where industry labels are broad |
| Technologies, if relevant | Cloud AI platforms, data infrastructure, analytics stack, IoT platforms, robotics software environments | Useful when Apollo enrichment supports technology footprint filtering |
| Revenue range, if relevant | Mid-market to enterprise; apply based on client ACV and complexity | Focus on accounts able to sponsor pilots and innovation budgets |
| Company type | Private companies, public companies, universities, research institutes | Reflects the event’s academic-industry mix |
Suggested Apollo Search Logic: ("artificial intelligence" OR "machine learning" OR robotics OR "computer vision" OR "autonomous systems" OR IoT OR "industrial automation") AND (CTO OR "Director of AI" OR "VP Engineering" OR "Research Director" OR "Innovation Director" OR "Robotics Program Manager") AND (Japan OR Tokyo OR APAC, depending on campaign scope).
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| Artificial Intelligence / Allied Conferences official event page | Official event website | Official branding shown on supplied page, event dates, city, country, event theme, organizer naming, audience positioning and conference features | High for dates and location shown on page; low for attendance and named participant verification because these were not publicly listed in the supplied text |
| Supplied official website content excerpt in user brief | Primary source extract | Used as the primary source of truth per instruction; it contradicts the user-supplied Paris 2026 details and instead confirms Tokyo, Japan, November 26–27, 2025 | High for directly quoted facts from the official page |
Verification note: The supplied official source does not validate the requested Paris, France September 28–30, 2026 edition. It instead validates a Tokyo, Japan event on November 26–27, 2025 under the title “6th International Conference on Artificial Intelligence, Robotics & IoT.” This report therefore follows the official source and does not treat the Paris 2026 details as confirmed.
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Tell us your work email and our AI instantly builds a buyer list matched to 4th Tech Summit on Artificial Intelligence & Robotics — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
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