7th International Conference on Cloud and Big Data (CLBD 2026)
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About this event
7th International Conference on Cloud and Big Data (CLBD 2026)
Date: July 15–17, 2026
Venue: Singapore Expo Convention Centre, Singapore
Event Type: Academic & Industrial Conference, Technology Expo, Networking Forum
Estimated Attendance: 2,500+ participants including researchers, industry leaders, IT professionals, startups, investors, and government representatives
1. Who Attends (Buyers / Attendees)
CLBD 2026 attracts a hybrid audience of academic researchers, enterprise technology buyers, cloud service providers, big data solution vendors, and innovation-driven startups. Key buyer profiles include:
- IT Decision-Makers (CIOs, CTOs, IT Directors)
- Cloud Infrastructure Architects
- Big Data Analytics Managers
- Enterprise Software Procurement Teams
- Academic Researchers & Professors
- Startup Founders & Investors
- Government & Public Sector Digital Transformation Officers
- Telecom & Networking Solution Providers
2. Location + Attendee Geographic Origin
Show Location: Singapore Expo Convention Centre, Singapore – a global hub for tech innovation and cross-border collaboration.
Attendee Origin:
- 40% Asia-Pacific (Singapore, Japan, South Korea, India, China)
- 30% North America (USA, Canada)
- 20% Europe (Germany, UK, France, Netherlands)
- 10% Middle East & Africa
Best Geographic Targeting: Multinational corporations with APAC headquarters, regional cloud providers, and global enterprise IT teams.
3. Audience Reach
Reach Type: Global with strong APAC emphasis. The event leverages Singapore’s strategic location to connect Western technology providers with Asian markets.
4. Sample Buyer Company Names + Websites
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Amazon Web Services (AWS) | aws.amazon.com | Cloud Solutions Architect / Big Data Platform Manager | Global leader in cloud infrastructure; seeks cutting-edge innovations in distributed systems and analytics. |
| 2 | Microsoft Azure | azure.microsoft.com | AI + Big Data Product Manager | Heavy focus on hybrid cloud solutions and enterprise data governance frameworks. |
| 3 | Google Cloud Platform | cloud.google.com | Data Analytics Engineering Lead | Strong interest in machine learning pipelines and real-time data processing architectures. |
| 4 | Samsung SDS | samsungsds.com | Cloud Platform Director | Korean conglomerate investing in blockchain integration with cloud storage solutions. |
| 5 | IBM Cloud | cloud.ibm.com | Enterprise Cloud Security Architect | Focus on secure data migration and compliance for financial services and healthcare sectors. |
| 6 | Cloudera | cloudera.com | Big Data Solutions Engineer | Leader in open-source data platforms; targets enterprises modernizing legacy analytics systems. |
| 7 | Oracle Cloud Infrastructure | cloud.oracle.com | Database Modernization Consultant | Pushing autonomous database solutions and AI-driven performance optimization tools. |
| 8 | Hitachi Vantara | hitachi.com/vantara | Industrial Big Data Director | Focus on IoT data management and predictive maintenance for manufacturing sectors. |
| 9 | Tencent Cloud | cloud.tencent.com | Regional Cloud Business Development Manager | Expanding APAC footprint; seeks partnerships in gaming, fintech, and smart cities. |
| 10 | Alibaba Cloud | www.alibabacloud.com | Big Data Analytics Evangelist | China’s largest cloud provider; investing in AI-driven retail and logistics optimization. |
| 11 | NTT Communications | www.ntt.com | Network & Cloud Integration Manager | Japanese telecom giant merging 5G with edge computing and data sovereignty solutions. |
| 12 | SAP | www.sap.com | Enterprise Data Cloud Director | Integrating cloud analytics with ERP systems for global manufacturing and retail clients. |
| 13 | Snowflake | www.snowflake.com | Data Cloud Strategist | Cloud data warehousing leader; targets finance, healthcare, and telecom verticals. |
| 14 | Red Hat | www.redhat.com | OpenShift Cloud Architect | Focus on Kubernetes-driven cloud-native applications and hybrid cloud deployments. |
| 15 | NVIDIA | www.nvidia.com | AI Cloud Solutions Engineer | Expanding GPU-accelerated analytics and AI training platforms for cloud environments. |
5. Job Profiles, Industries & Event Type
Best Job Profiles to Target:
- Cloud Architecture Directors
- Big Data Engineering Managers
- Enterprise IT Procurement Officers
- AI/ML Research Leads
- Database Modernization Consultants
- Telecom Infrastructure Planners
- Startup CTOs
- Information Technology & Services
- Computer Software
- Telecommunications
- Computer Hardware
- Financial Services (for fintech applications)
- Healthcare IT
- Manufacturing Technology
6. Estimated Attendance
Total Expected Footfall: 2,500+ participants
Breakdown:
- 1,200+ Enterprise IT Professionals
- 800+ Academic Researchers & Students
- 300+ Startup Founders & Investors
- 200+ Government & Policy Makers
7. Key Focus Areas & Buyer Engagement
Core Themes:
- Cloud-Native Applications & Microservices
- Real-Time Big Data Processing
- AI/ML Integration with Cloud Platforms
- Edge Computing & 5G Synergies
- Data Privacy, Security & Compliance
- Serverless Architectures
8. Client Product Fit Note
To refine the buyer list, please share your client’s website. This will help align recommendations with specific use cases, such as:
- If your client sells cloud security tools, prioritize financial institutions and healthcare IT teams.
- If your client offers data analytics platforms, target retail, telecom, and manufacturing attendees.
- If your client focuses on AI-driven cloud infrastructure, engage with research institutions and tech startups.
9. Industry Recommendations
Based on standard industry classifications, prioritize these sectors:
- Information Technology & Services
- Telecommunications
- Computer Software (especially SaaS & PaaS providers)
- Financial Services (for cloud banking & fintech applications)
- Healthcare IT
- Manufacturing Technology
- Academic & Research Institutions
10. Final Recommendation
CLBD 2026 is a high-value event for B2B outreach, particularly for companies offering cloud infrastructure, big data analytics, AI/ML tools, or industry-specific solutions. While academic participation is significant, the real monetizable layer lies in enterprise IT decision-makers and solution providers. Position your offering as a solution to pain points like scalability, compliance, or real-time processing to maximize engagement.
Data sheet
7th International Conference on Cloud and Big Data (CLBD 2026) – Event Attendee & Buyer Profile Analysis
Event date: 15 Aug 2026 – 16 Aug 2026
Location: Melbourne, Australia
Event status: Upcoming
Research date: 30 Jun 2026
Event Overview
| Event Name | 7th International Conference on Cloud and Big Data (CLBD 2026) |
| Event Date | 15 Aug 2026 – 16 Aug 2026 |
| Event Status | Upcoming |
| Venue | Venue not publicly confirmed from the supplied inputs. |
| City | Melbourne |
| State / Region | Victoria |
| Country | Australia |
| Organizer | Organizer not publicly confirmed from the supplied inputs. |
| Official Event Website | Official website not verified from the supplied inputs. |
| Event Type | International conference; likely academic and industry technology event. |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Education & Training |
| Audience Reach | Likely international, with strongest relevance across Australia and the wider Asia-Pacific technology ecosystem. |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low at this stage. The supplied reference contains conflicting date and location details versus the known event inputs. |
| Main Purpose of Event | Knowledge exchange, technical presentation, research dissemination, enterprise discussion, partnership development, and commercial networking around cloud computing, data platforms, analytics, and digital transformation. |
About the Event
The 7th International Conference on Cloud and Big Data (CLBD 2026) appears, based on its title and supplied event details, to be an international technology conference focused on cloud infrastructure, big data architecture, analytics, enterprise systems, and applied digital innovation. Events of this type typically combine technical paper presentations, keynote sessions, solution discussions, and business networking between academic, enterprise, and public-sector stakeholders.
From a commercial standpoint, CLBD 2026 is relevant where suppliers need access to cloud buyers, data platform decision-makers, transformation teams, research partnerships, and solution evaluators. The event is likely strongest for enterprise software, cloud services, cybersecurity, data engineering, AI/analytics, systems integration, public-sector modernization, and university-industry collaboration. Because current-year organizer, venue, and attendee-list details were not independently verified from official sources in the supplied inputs, the buyer profile below should be treated as a likely attendee profile rather than a confirmed current-year attendee roster.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Enterprise IT decision-makers | Large enterprises, digital-first corporates, regulated industries | Budget authority or technical sign-off for cloud, data, security, and modernization programs | High relevance for software vendors, cloud providers, integrators, and managed services firms |
| Cloud architects and infrastructure leaders | Enterprise IT teams, platform engineering groups, DevOps organizations | Strong technical influence on infrastructure selection, migration strategy, and platform design | Important for infrastructure, observability, storage, networking, and automation solutions |
| Data and analytics leaders | Data-driven enterprises, analytics teams, AI programs | Influence data platform investment, governance, BI, ML enablement, and integration stack decisions | High-value audience for data lakes, warehousing, ETL, analytics, and AI vendors |
| Enterprise procurement and sourcing teams | Corporate procurement departments, technology sourcing functions | Commercial negotiation, vendor onboarding, risk review, and contract management | Relevant for suppliers with enterprise pricing, procurement cycles, and compliance-driven sales processes |
| Government and public-sector digital transformation teams | Departments, agencies, smart-city units, research bodies | Program sponsorship, platform evaluation, modernization planning, data governance oversight | High relevance for compliant cloud, cybersecurity, analytics, and public-sector consulting offerings |
| Telecom, networking, and infrastructure operators | Telecommunications firms, carriers, network operators, infrastructure providers | Evaluate scalable compute, edge, data transport, and platform resilience solutions | Good fit for edge computing, platform engineering, and network data products |
| Academic researchers and professors | Universities, research labs, innovation centers | Research influence, pilot adoption, collaboration, publication, and technology validation | Relevant for R&D partnerships, testbeds, grants, and academic licensing models |
| Startups, founders, and investors | VC-backed startups, accelerators, venture firms, innovation programs | Early buyer, partnership, channel, and funding influence | Best for partnerships, ecosystem programs, APIs, data tooling, and developer platforms |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Melbourne | Local enterprise IT teams, universities, startups, digital agencies, public institutions | High | Melbourne is a major Australian technology, research, education, and corporate services hub. |
| Victoria | Regional corporates, universities, public-sector transformation teams, innovation programs | Medium to High | Likely draw from state-level digital transformation and research communities. |
| Australian business hubs | Sydney, Brisbane, Canberra, Perth, Adelaide technology and enterprise buyer communities | High | National attendance is likely for an international cloud and big data conference hosted in Australia. |
| Asia-Pacific | Singapore, New Zealand, India, Japan, South Korea, Southeast Asia | Medium | Likely relevant because of Melbourne’s accessibility and the event’s international positioning. |
| Global research and enterprise market | Selective participation from Europe and North America | Low to Medium | International paper presenters, partners, and technology stakeholders may attend, but current-year country mix is not confirmed. |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification based on event title | The event is positioned as an international conference, suggesting cross-border participation from academia, enterprise, and technology communities. |
| Secondary reach | National and Asia-Pacific practical reach | For lead generation purposes, the strongest actionable buyer pools are likely Australia-wide and broader APAC cloud and data stakeholders. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Current-year buyer, exhibitor, sponsor, or speaker organization list not publicly verified from the supplied inputs | Verification pending | A reliable company-level target list should be built only after confirming the official website, agenda, sponsor roster, technical program, or attendee-facing materials. | N/A | CIO, CTO, Director IT, Director Data, Head of Cloud, Procurement Manager | Confirmed current-year company list not available from supplied inputs |
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Chief Information Officer | Information Technology | C-Level | Owns enterprise IT strategy, budgets, and major transformation initiatives. |
| 2 | Chief Technology Officer | Technology / Engineering | C-Level | Drives platform architecture, data strategy, and innovation roadmap. |
| 3 | IT Director | Information Technology | Director | Key operator for infrastructure rollout, vendor review, and implementation planning. |
| 4 | Director of Data / Head of Data | Data & Analytics | Director / Head | Influences data platform selection, governance, and analytics investment. |
| 5 | Cloud Architect / Enterprise Architect | Architecture | Manager / Senior IC | Shapes cloud deployment models, integration design, and platform standards. |
| 6 | Data Engineering Manager | Data Engineering | Manager | Evaluates pipelines, warehousing, orchestration, and performance tooling. |
| 7 | Procurement Manager | Procurement | Manager | Controls vendor qualification, negotiation, and commercial approvals. |
| 8 | Strategic Sourcing Manager | Sourcing | Manager | Important where cloud, software, or managed services contracts are formally sourced. |
| 9 | Program Manager | Transformation / PMO | Manager | Coordinates implementation timelines, stakeholders, and pilot adoption. |
| 10 | Digital Transformation Director | Strategy / Innovation | Director | Common buyer-side stakeholder for cloud modernization and data-led change programs. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Core audience for enterprise cloud and transformation projects | Platform adoption, migration, and managed services |
| 2 | Computer Software | Software vendors and SaaS firms are direct users of cloud and data infrastructure | DevOps, hosting, analytics, API, and platform tooling |
| 3 | Computer & Network Security | Cloud security is a critical adjacent buyer theme | Secure architecture, governance, identity, and compliance |
| 4 | Telecommunications | Telcos depend on scalable infrastructure and data operations | Network analytics, edge cloud, and infrastructure modernization |
| 5 | Government Administration | Public-sector modernization and data governance are likely themes | Digital services, secure cloud, and citizen data platforms |
| 6 | Higher Education | Conference title suggests strong academic participation | Research computing, data collaboration, and academic cloud environments |
| 7 | Research | Research institutes are natural participants in big data events | Data processing, HPC-adjacent workloads, and collaboration platforms |
| 8 | Financial Services | Finance is a major buyer of secure data and cloud infrastructure | Analytics, fraud, governance, and modernization |
| 9 | Hospital & Health Care | Healthcare organizations increasingly invest in data and cloud platforms | Secure analytics, interoperability, and digital care infrastructure |
| 10 | Utilities | Critical infrastructure operators rely on telemetry, analytics, and cloud modernization | Asset data, operational analytics, and resilience platforms |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | No verified current-year organizer source available in supplied inputs | The reference text cites 2,500+ participants, but that same reference conflicts with the known location and dates, so it should not be treated as confirmed for Melbourne. |
| Exhibitor count | Not publicly confirmed | Unconfirmed | Supplied inputs only | Conference may include sponsors or solution showcases, but no verified current-year exhibitor prospectus was available. |
| Buyer count | Not publicly confirmed | Unconfirmed | No verified registration or attendee profile source provided | Buyer-side participation is likely but not quantified. |
| Speaker count | Not publicly confirmed | Unconfirmed | No agenda verified | Likely includes academic and industry presenters. |
| Sponsor count | Not publicly confirmed | Unconfirmed | No sponsor roster verified | Important for buyer mapping once official materials are available. |
| Historical attendance | Historical attendance not verified | Historical / prior-year evidence unavailable | No verified prior-year organizer archive reviewed in supplied inputs | Further validation required before using attendance in sales messaging. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Cloud infrastructure | Scalability, resilience, cost control, and migration planning | Architecture workshops, migration assessments, pilot environments | Cloud platforms, managed cloud, observability, FinOps |
| Big data platforms | Data ingestion, storage, processing, and performance | Platform demos, benchmarks, technical proof-of-concept discussions | Data lakes, warehousing, ETL/ELT, lakehouse platforms |
| Analytics and AI readiness | Actionable insights, model deployment, data quality, governance | Use-case mapping, ROI discussions, data maturity reviews | BI tools, ML platforms, data catalog, governance solutions |
| Cybersecurity | Identity, compliance, threat visibility, secure cloud adoption | Security posture reviews, compliance-led conversations | Cloud security, IAM, SIEM, governance and risk tools |
| Digital transformation | Modernization of legacy systems and operating models | Executive briefings, roadmap sessions, cross-functional consulting | Consulting, implementation services, automation, integration |
| Research and innovation | Collaboration, grants, proof-of-concept validation, publication | University-industry networking, pilot partnerships | Research compute, datasets, APIs, collaboration platforms |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong relevance for cloud, data, AI, security, integration, and modernization suppliers. |
| Decision-maker availability | Medium | Likely mix of senior technical leaders, researchers, and program stakeholders; current-year executive roster not yet verified. |
| Data collection potential | Medium | Useful for account mapping once speakers, sponsors, and partners are confirmed; limited today due lack of verified current-year rosters. |
| Apollo targeting potential | Very High | The event topic maps well to Apollo filters by industry, department, title, geography, and company size. |
| Geographic targeting potential | High | Australia plus APAC provides a manageable and commercially relevant targeting footprint. |
| Best outreach approach | High | Use solution-led outreach tied to cloud modernization, analytics scale, security, and transformation outcomes. |
| Overall lead quality | High | Good event fit for B2B lead generation, especially for enterprise technology and data-platform suppliers. |
| Best use case | High | Account-based prospecting, speaker/sponsor mapping, enterprise IT targeting, and university-industry partnership outreach. |
| Limitations / risks | Medium | Current-year organizer, venue, and participant evidence were not independently verified from official public materials in the supplied inputs. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Computer & Network Security; Telecommunications; Government Administration; Higher Education; Research; Financial Services; Hospital & Health Care; Utilities | Aligns with the most likely buyer communities for cloud and data decision-making. |
| Departments | Information Technology; Engineering; Data / Analytics; Procurement; Operations; Innovation; Program Management | Captures both technical and commercial buying influence. |
| Seniority | C-Level; VP; Head; Director; Manager | Matches budget owners, evaluators, and implementation leaders. |
| Job titles | CIO; CTO; IT Director; Director Data; Head of Data; Cloud Architect; Enterprise Architect; Data Engineering Manager; Procurement Manager; Strategic Sourcing Manager; Program Manager; Director Digital Transformation | Directly aligned to likely event themes and buying committees. |
| Geography | Australia; Victoria; Melbourne; Sydney; Brisbane; Canberra; Perth; New Zealand; Singapore; India; Japan; South Korea | Prioritizes local, national, and APAC opportunity zones. |
| Employee size | 51-200; 201-500; 501-1,000; 1,001-5,000; 5,001+ | Covers scale-up, mid-market, enterprise, public sector, and university targets. |
| Keywords | cloud; big data; analytics; data platform; data engineering; digital transformation; AI; machine learning; lakehouse; data governance; enterprise architecture; migration; DevOps | Improves thematic relevance when event-specific attendee data is unavailable. |
| Technologies, if relevant | Cloud platforms; data warehousing; BI; ETL; containerization; observability; security stack | Useful where Apollo enrichment includes technology indicators. |
| Revenue range, if relevant | $10M-$50M; $50M-$250M; $250M-$1B; $1B+ | Supports segmentation by deal size and maturity. |
| Company type | Private; Public; Government; Nonprofit / Education | Expands beyond corporate buyers to public and academic institutions likely to attend. |
Suggested Apollo Search Logic: ("cloud" OR "big data" OR analytics OR "data platform" OR "digital transformation" OR "enterprise architecture" OR "data engineering") AND (CIO OR CTO OR "IT Director" OR "Head of Data" OR "Cloud Architect" OR "Procurement Manager" OR "Strategic Sourcing Manager") AND (Australia OR Melbourne OR Victoria OR APAC).
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 |
|---|---|---|---|
| User-provided event brief | Supplied input | Confirmed event title, Melbourne city, Australia country, and 15-16 Aug 2026 date range used in this report. | Medium |
| Supplied reference description with conflicting details | Supplied input | Used only as a cautionary note because it references Singapore and different dates; not treated as verified for the Melbourne edition. | Low |
| Official organizer / venue / event website | Primary source | Not verified from the supplied inputs. Recommended next step: validate organizer, venue, agenda, sponsors, and registration page before building a sellable attendee or buyer list. | Pending |
Practical note for list-building teams: CLBD 2026 appears suitable for B2B attendee-list building and Apollo-led prospecting at the topic level, but it is not yet suitable for a high-confidence confirmed attendee list until official current-year participant evidence is validated.
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