3rd International Conference on Information Technology Convergence Services & AI (ITCAI 2026) – Event Attendee & Buyer Profile Analysis
Event date: July 28–29, 2026
Location: Virtual Conference, Australia
Event status: Upcoming
Research date: June 30, 2026
Event Overview
| Event Name |
3rd International Conference on Information Technology Convergence Services & AI (ITCAI 2026) |
| Event Date |
July 28–29, 2026 |
| Event Status |
Upcoming |
| Venue |
Virtual Conference |
| City |
Virtual Conference |
| State / Region |
Not publicly specified on the official event website |
| Country |
Australia |
| Organizer |
Organizer not clearly named on the official event page; website is presented under NLAICSE branding |
| Official Event Website |
itcai2026.org |
| Event Type |
Virtual academic and industry research 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 attendance volume; high for dates, format, topics, submission deadlines, and publication details |
| Main Purpose of Event |
To provide an international forum for researchers and practitioners to share knowledge, publish research, and build collaborations across information technology convergence services, AI, cloud, IoT, cybersecurity, machine learning, health informatics, embedded systems, and related digital transformation topics. |
About the Event
ITCAI 2026 is the third edition of an international virtual conference focused on Information Technology Convergence Services and Artificial Intelligence. Based on the official event website, the conference is positioned as a knowledge-sharing and publication-driven forum for both researchers and practitioners across computer science, computer engineering, and information technology. Core topics include AI in IT services, cloud computing, IoT convergence, cybersecurity, trust and privacy, machine learning, robotics, business information systems, blockchain services, health informatics, and ubiquitous computing.
From a business development perspective, the event appears most relevant for thought leadership outreach, researcher engagement, partnership mapping, academic-industry collaboration, and pipeline building among AI, software, cloud, cybersecurity, and applied research stakeholders. Because it is a virtual conference with an international scope and published proceedings, it is better suited for targeted expert and innovation outreach than for high-volume onsite buyer list extraction. It is suitable for B2B attendee list building only in a selective, account-based manner if participant names, accepted papers, authors, or committee affiliations become available closer to the event.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment |
Typical Organizations |
Buying Role or Influence |
Relevance to Exhibitors / Suppliers |
| Academic researchers and faculty |
Universities, engineering schools, computer science departments, applied AI labs |
Influence software tools, research platforms, datasets, cloud credits, publication services, and collaboration choices |
High for research tools, AI platforms, cloud services, academic partnerships, and sponsored innovation programs |
| Industry practitioners in AI and IT convergence |
Software companies, cloud providers, cybersecurity firms, IoT vendors, digital transformation teams |
May influence technical evaluations, proof-of-concepts, partnerships, and applied technology adoption |
High for enterprise technology vendors and solution consultancies |
| PhD scholars and graduate students |
Research universities, labs, academic research centers |
Emerging influencers for software preference, experimentation platforms, and future hiring pipelines |
Useful for community adoption, product trials, and early-stage user acquisition |
| Research publication and editorial stakeholders |
Academic journals, proceedings publishers, editorial boards |
Influence publication pathways, conference credibility, and knowledge dissemination |
Relevant for publishing platforms, indexing services, and academic communications support |
| Technology architects and R&D leaders |
Enterprise innovation teams, labs, systems integration units, product engineering groups |
Can shape roadmap decisions around AI, data, embedded systems, trust, privacy, and automation |
Strong fit for advanced computing, ML infrastructure, analytics, and cyber-physical system suppliers |
| Health and medical informatics stakeholders |
Healthcare research groups, digital health teams, medical informatics units |
Influence niche use cases, pilot selection, and domain-specific technology evaluation |
Relevant for health AI, secure data platforms, interoperability, and analytics providers |
| Consultants and independent experts |
Digital strategy consultancies, cybersecurity advisors, AI transformation specialists |
Influence client recommendations and vendor shortlists |
Useful multiplier audience for referrals, co-selling, and project introductions |
2. Event Location and Attendee Geographic Origin
| Geographic Area |
Likely Attendee Origin |
Buyer Concentration |
Notes |
| Host city |
Virtual Conference |
No physical local concentration |
Virtual format reduces local venue dependency and allows broader attendance |
| Host country |
Australia |
Moderate, based on provided event location detail |
Country was provided in the event brief; official website text supplied does not restate country |
| Asia-Pacific |
Likely strong origin region |
High |
Virtual scheduling and regional time zone alignment commonly support APAC participation |
| Global academic and research community |
International researchers and paper authors |
High |
Official website repeatedly positions the event as an international forum |
| Enterprise technology hubs |
North America, Europe, India, Southeast Asia, Australia |
Medium |
Likely where AI, cloud, data, and cybersecurity practitioners participate if submitting papers or attending technical sessions |
3. Audience Reach
| Reach Level |
Assessment |
Explanation |
| Global |
Primary classification |
The event is explicitly presented as an international forum and is fully virtual, making it accessible to researchers and practitioners across multiple countries. |
| National / Regional |
Secondary reach description |
Australia and the broader Asia-Pacific region may be more convenient participation zones, but the event is not restricted to those geographies. |
4. Sample Buyer Companies and Websites
Current-year attendee, speaker, exhibitor, sponsor, or buyer organization lists were not publicly included in the provided official website text. The table below therefore uses only organizations directly named on the official website as publication, conference-network, or conference-related entities. This is not a confirmed buyer attendee list for the current edition.
| Buyer Company / Organization |
Buyer Type |
Why It Is Relevant |
Website |
Best Job Titles to Target |
Evidence Level |
| NLAICSE |
Conference network / organizer-side entity |
The official website is presented under NLAICSE branding, indicating relevance to event administration and conference portfolio management. |
nlaicse2026.org |
Conference Chair, Program Coordinator, Partnerships Manager |
Confirmed Government / Procurement Organization |
| International Journal on Cybernetics & Informatics (IJCI) |
Proceedings publisher |
Officially confirmed as the proceedings publication outlet for the conference. |
airccse.org/journal/ijci/index.html |
Editor, Publications Manager, Journal Coordinator |
Confirmed Sponsor / Exhibitor |
| International Journal of Information Technology Convergence and Services (IJITCS) |
Special issue journal |
Officially listed as a special issue journal for selected papers from ITCAI 2026. |
airccse.org/journal/ijitcs/index.html |
Editor-in-Chief, Editorial Manager, Publication Coordinator |
Confirmed Sponsor / Exhibitor |
| Advanced Computational Intelligence: An International Journal (ACII) |
Special issue journal |
Officially named on the event website as a publication destination for selected papers. |
airccse.org/journal/acii/index.html |
Editor, Research Publications Lead, Journal Administrator |
Confirmed Sponsor / Exhibitor |
| Advanced Computing: An International Journal (ACIJ) |
Special issue journal |
Listed by the conference as a journal for post-conference selected-paper consideration. |
airccse.org/journal/acij/index.html |
Editor, Journal Operations Manager, Publications Lead |
Confirmed Sponsor / Exhibitor |
| International Journal of Computer Science, Engineering and Applications (IJCSEA) |
Special issue journal |
Officially identified as a special issue publication option for selected papers. |
airccse.org/journal/ijcsea/index.html |
Editor, Managing Editor, Publication Coordinator |
Confirmed Sponsor / Exhibitor |
5. Job Profiles, Industries and Event Type
| Priority |
Job Title / Function |
Department |
Seniority Level |
Why This Role Matters |
| 1 |
Chief Technology Officer |
Technology |
C-Level |
Owns innovation strategy across AI, cloud, security, and platform convergence themes central to the conference. |
| 2 |
Chief Information Officer |
Information Technology |
C-Level |
Relevant for enterprise modernization, digital convergence, and cross-functional technology adoption. |
| 3 |
Director of AI / ML |
Data Science / AI |
Director |
Strong fit for conference themes covering machine learning convergence and computational intelligence. |
| 4 |
Director of Research / Research Scientist |
R&D |
Director / Individual Contributor |
Core audience for paper-driven conference participation and technical collaboration. |
| 5 |
Cloud Architect / Head of Cloud |
Cloud Infrastructure |
Manager / Director |
Important because cloud computing and grid/cloud convergence are explicit event focus areas. |
| 6 |
Cybersecurity Director |
Security |
Director |
Relevant to trust, privacy, and information technology security convergence topics. |
| 7 |
Product Manager, AI Platforms |
Product |
Manager |
Useful for solution positioning, pilot adoption, and platform evaluation. |
| 8 |
Professor / Faculty Lead |
Academic / Research |
Senior |
High influence on paper submissions, research collaborations, lab tooling, and student ecosystems. |
| 9 |
Innovation Manager |
Innovation |
Manager |
Relevant for partnerships, experimentation, and applied convergence technologies. |
| 10 |
Program Manager, Digital Transformation |
Operations / Technology Programs |
Manager |
Useful for translating research trends into implementation programs and vendor evaluations. |
| Priority |
Apollo Industry |
Why It Fits the Event |
Best Buyer Use Case |
| 1 |
Information Technology & Services |
Direct alignment with the conference’s core IT convergence themes |
Enterprise AI, cloud, digital transformation solutions |
| 2 |
Computer Software |
Highly relevant for AI platforms, analytics software, and convergence applications |
Platform sales, developer tooling, integration solutions |
| 3 |
Research |
Academic and applied research participation is central to the event model |
Research partnerships, publication services, lab technology |
| 4 |
Higher Education |
Faculty, researchers, and graduate programs are likely attendee sources |
Academic outreach, grants, sponsored labs, curriculum tools |
| 5 |
Computer & Network Security |
The agenda includes security, trust, and privacy convergence |
Security platforms, privacy tooling, cyber risk analytics |
| 6 |
Computer Hardware |
Relevant to embedded systems, hardware/software design, and cyber-physical systems |
Edge devices, compute infrastructure, accelerators |
| 7 |
Industrial Automation |
Fit for robotics, autonomous agents, and smart systems themes |
Intelligent automation, robotics integration, edge AI |
| 8 |
Hospital & Health Care |
Health and medical informatics is specifically listed as a topic of interest |
Clinical AI, health data platforms, secure informatics systems |
| 9 |
Telecommunications |
Intelligent communications and networks are covered within the event scope |
Network intelligence, 5G/edge analytics, communications infrastructure |
| 10 |
Biotechnology |
Relevant via convergence of AI and bioinformatics |
Bioinformatics analytics, research computing, data science collaboration |
| 11 |
Medical Devices |
Applies where embedded systems and AI intersect with healthcare technologies |
Embedded AI, device analytics, secure connected devices |
| 12 |
Internet |
Fit for next-generation internet, blockchain services, social media analytics, and e-commerce convergence |
Digital platform partnerships and application-layer solutions |
6. Estimated Attendance
| Metric |
Figure |
Status |
Source / Basis |
Notes |
| Estimated total footfall |
Attendance figure not publicly confirmed by the organizer. |
Not confirmed |
Official website text supplied |
No attendee volume published in the provided official content |
| Exhibitor count |
Not publicly confirmed |
Not confirmed |
Official website text supplied |
This appears to be a conference rather than a trade-show-led exhibition |
| Buyer count |
Not publicly confirmed |
Not confirmed |
Official website text supplied |
No official buyer program or hosted buyer list was identified |
| Speaker count |
Not publicly confirmed |
Not confirmed |
Official website text supplied |
Program committee page is referenced, but details were not included in the source text provided |
| Sponsor count |
At least 5 named publication outlets / related entities |
Confirmed named organizations |
Official website text supplied |
These are publication-related organizations, not necessarily sponsors in the commercial expo sense |
| Historical attendance |
Not publicly confirmed in supplied source text |
Historical / prior-year evidence unavailable |
Provided official website extract |
Past event links are visible, but no attendee numbers were included in the provided content |
7. Key Focus Areas and Buyer Engagement
| Focus Area |
Typical Buyer Need |
Buyer Engagement Opportunity |
Relevant Supplier Offering |
| AI in IT Convergence & Services |
Applied AI use cases, model integration, automation |
Thought leadership, demos, technical workshops |
AI platforms, MLOps, automation software, consulting |
| Cloud Computing, Big Data & IoT |
Scalable infrastructure, analytics, connected systems |
Case studies, proof-of-concept offers, co-research proposals |
Cloud services, data engineering, IoT platforms, edge analytics |
| Cybersecurity, Trust & Privacy |
Security architecture, compliance, trusted digital systems |
Security roundtables, expert positioning, whitepaper outreach |
Security software, privacy tools, risk monitoring, advisory services |
| Machine Learning Convergence |
ML deployment, experimentation, model performance |
Technical validation discussions and pilot opportunities |
MLOps, GPUs, data labeling, experiment tracking tools |
| Blockchain and Next-Generation Internet |
Distributed systems, trust layers, digital services innovation |
Partner outreach, architecture discussions, standards-related engagement |
Blockchain infrastructure, identity tools, internet platform services |
| Health and Medical Informatics |
Clinical analytics, health data interoperability, secure systems |
Niche vertical outreach and research collaboration |
Health AI, medical data platforms, analytics and compliance solutions |
| Robotics and Autonomous Agents |
Autonomy, control systems, embedded intelligence |
R&D partnerships and advanced solution qualification |
Robotics software, sensors, embedded AI systems |
| Business Systems and Electronic Commerce |
Digital business transformation and intelligent commerce workflows |
Business-value messaging and ROI-led outreach |
Enterprise software, analytics, process automation, commerce platforms |
Lead Quality Assessment
| Factor |
Assessment |
Explanation |
| Buyer relevance |
Medium |
Good fit for technical buyers, researchers, and innovation leaders, but not a classic procurement-heavy buying event. |
| Decision-maker availability |
Medium |
Potential access to faculty leaders, technical directors, and innovation managers; fewer pure budget owners are publicly visible at present. |
| Data collection potential |
Low to Medium |
Current official source text does not provide attendee lists, sponsor lists, or a full committee roster in the extracted content. |
| Apollo targeting potential |
High |
Themes map well to Apollo filters for AI, software, research, higher education, cloud, cybersecurity, and health informatics accounts. |
| Geographic targeting potential |
High |
Virtual international format supports segmented outreach by APAC, North America, Europe, and research-intensive markets. |
| Best outreach approach |
High-value technical and partnership outreach |
Best suited for research collaboration, pilot offers, technical enablement, and content-led email or LinkedIn outreach rather than generic mass sales messaging. |
| Overall lead quality |
Medium to High |
Quality can be strong for specialized AI/IT solutions, especially if author, accepted paper, or committee data becomes available before the event. |
| Best use case |
Account-based outreach |
Most suitable for building curated target lists of universities, research centers, AI vendors, and innovation-led enterprises. |
| Limitations / risks |
Medium |
No confirmed attendee count, no hosted buyer program, and limited public participant transparency reduce certainty for list-based commercial campaigns. |
Apollo.io Targeting Recommendation
| Filter Type |
Recommended Filters |
Purpose |
| Apollo industries |
Information Technology & Services; Computer Software; Research; Higher Education; Computer & Network Security; Computer Hardware; Industrial Automation; Hospital & Health Care; Telecommunications; Biotechnology; Medical Devices; Internet |
Align outreach with the strongest thematic fit to conference subject matter |
| Departments |
Engineering; Information Technology; Research; Product Management; Innovation; Data Science; Security; Academic Affairs |
Focus on technical and research-influencer functions |
| Seniority |
C-Level; VP; Director; Head; Manager; Professor; Principal; Lead |
Prioritize decision-makers and senior technical evaluators |
| Job titles |
CTO, CIO, Director of AI, Head of Machine Learning, Research Director, Principal Scientist, Cloud Architect, Cybersecurity Director, Product Manager AI, Professor, Faculty Lead, Innovation Manager, Program Manager Digital Transformation |
Build high-fit technical buyer and collaborator lists |
| Geography |
Australia; India; Singapore; Japan; South Korea; United States; Canada; United Kingdom; Germany; Netherlands |
Cover strong research and enterprise technology markets likely to align with international virtual participation |
| Employee size |
11-50; 51-200; 201-500; 501-1000; 1001-5000; 5001+ |
Include startups, research-led SMEs, and large enterprises with mature innovation functions |
| Keywords |
AI, machine learning, cloud computing, big data, IoT, cybersecurity, trust, privacy, blockchain, health informatics, embedded systems, robotics, autonomous agents, social media analytics, digital convergence |
Match organizations whose stated focus mirrors the conference agenda |
| Technologies |
AI/ML stack; cloud platforms; analytics tools; IoT infrastructure; security platforms |
Useful when the client sells complementary technology or integration services |
| Revenue range |
Not mandatory; use open revenue filters unless the campaign is enterprise-only |
Many relevant accounts may be universities, labs, or specialist research firms where revenue is not the best qualifier |
| Company type |
Private; Public; Educational Institution; Research Organization |
Broaden coverage across commercial and academic audiences |
Suggested Apollo Search Logic: ("artificial intelligence" OR "machine learning" OR "cloud computing" OR IoT OR cybersecurity OR blockchain OR "health informatics" OR "embedded systems" OR robotics OR "digital convergence") AND (CTO OR CIO OR "Director of AI" OR "Research Director" OR Professor OR "Cloud Architect" OR "Cybersecurity Director" OR "Innovation Manager") AND (Australia OR APAC OR global research markets).
Client Fit Review Required
Please share the client website or product/service details. I will review the client offering and identify the highest-fit buyer companies, Apollo industries, seniority levels, departments, and job titles from this event.
Sources & Verification Notes
| Source |
Type |
What It Verified |
Reliability |
| ITCAI 2026 Official Website |
Official event website |
Event name, July 28–29, 2026 dates, virtual format, topic scope, submission deadline, author notification, registration deadline, proceedings publisher, contact emails, and special issue journals |
High |
| User-provided event brief |
Provided background detail |
Country listed as Australia; virtual conference city and venue context |
Medium |
| Official website extracted text only |
Verification note |
No attendance numbers, exhibitor totals, attendee directory, hosted buyer program, or current-year participant list were visible in the provided source text |
High |
| Official website brand references |
Organizer-side indication |
NLAICSE branding appears on the event website, but a fully explicit organizer legal name was not stated in the supplied text |
Medium |