CategoryIT & Technology
47th Global Edition World AI Show Indonesia
🎯 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 47th Global Edition World AI Show Indonesia — 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
About this event
Event Description: 47th Global Edition World AI Show Indonesia
The 47th Global Edition World AI Show Indonesia is scheduled to take place from 7–8 July 2026 at the Sheraton Grand Jakarta, Indonesia. This exclusive, by-invitation-only event is tailored for enterprise decision-makers, bringing together infrastructure leaders, enterprise technology decision-makers, policymakers, and investors. The conference aims to architect Indonesia's sovereign, secure, and scalable AI economy.
Event Overview
- Date: 7–8 July 2026
- Venue: Sheraton Grand Jakarta, Indonesia
- City/Country: Jakarta, Indonesia
- Event Type: AI and Technology Conference
Key Highlights
The event will feature:
- 1,000+ Business & Tech Leaders
- 40+ Sponsors & Exhibitors
- 40+ Speakers
- 40+ Media & Association Partners
Target Audience (Buyers/Attendees)
The primary attendees include:
- Enterprise technology decision-makers
- Infrastructure leaders
- Policymakers
- Investors
- C-level executives from various industries
Geographic Reach and Location
Location: Jakarta, Indonesia
Attendee Geographic Origin: Primarily Indonesia with regional and global participation from ASEAN countries and beyond, given Indonesia's position as a growing AI economy in Southeast Asia.
Audience Reach: Global, with a focus on Indonesia's AI ecosystem and its stakeholders.
Estimated Attendance
The event is expected to attract over 1,000 business and technology leaders, along with numerous sponsors, exhibitors, and media partners.
Key Focus Areas and Buyer Engagement
The conference is centered around four thematic pillars:
- Sovereign AI Infrastructure: Building Indonesia's own AI compute stack, including national data centers, GPU clusters, and edge-AI nodes.
- Enterprise GenAI & Transformation: Leveraging generative AI for enterprise transformation.
- AI Security & Governance: Ensuring security and governance in AI implementations.
- AI Implementation at Scale: Scaling AI solutions across industries.
Sample Buyer Company Names and Websites
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | PT Bank Mandiri Tbk | https://www.bankmandiri.com | Head of Digital Transformation | Major Indonesian bank investing in AI for financial services. |
| 2 | Indonesia Stock Exchange (IDX) | https://www.idx.co.id | Chief Information Officer | Regulatory body exploring AI for market surveillance and trading platforms. |
| 3 | PT Telkom Indonesia | https://www.telin.co.id | Director of Digital Innovation | Leading telecommunications company in Indonesia with AI initiatives in network optimization. |
| 4 | Ministry of Communication and Information Technology, Indonesia | https://www.kemkominfo.go.id | Director General of Informatics Applications | Government body responsible for national AI strategy and policy. |
| 5 | Gojek | https://www.gojek.com | Chief Technology Officer | Leading Southeast Asian super-app utilizing AI for various services. |
| 6 | PT Hutama Bahari (TikTok Indonesia) | https://www.tiktok.com/business/id/home | Head of AI Operations | Social media platform with significant AI-driven content moderation and recommendation systems. |
| 7 | Microsoft Indonesia | https://www.microsoft.com/id-id | AI & Cloud Business Director | Global tech giant with investments in Indonesia's AI infrastructure. |
| 8 | NVIDIA Indonesia | https://www.nvidia.com/en-us.html | Solution Architect for AI | Provider of AI hardware and solutions for enterprise clients. |
| 9 | PT Bank BCA Tbk | https://www.bca.com | VP of IT Infrastructure | Prominent bank leveraging AI for customer service and fraud detection. |
| 10 | Grab Indonesia | https://www.grab.com/id/home | Director of Data Science | Regional super-app with AI-driven logistics and payment solutions. |
| 11 | PT XL Axiata | https://www.xlaxiata.com | Chief Digital Officer | Telecom company investing in AI for network management and customer experience. |
| 12 | Indonesia Stock Exchange (IDX) - Listed Companies | Varies by company | CIO or Head of AI | Publicly traded companies exploring AI for operational efficiency. |
| 13 | PT Bank BNI | https://www.bni.co.id | Head of Innovation | State-owned bank implementing AI solutions for banking services. |
| 14 | PT Bank BRI | https://www.bri.co.id | Director of Digital Banking | Major bank with initiatives in AI for microfinance and retail banking. |
| 15 | PT Bank Danamon | https://www.danamon.com | Chief Technology Officer | Broad AI applications in customer service and risk management. |
| 16 | PT Indofood Sukses Makmur Tbk | https://www.indofood.com | Head of AgriTech | Food processing company utilizing AI in supply chain and agriculture. |
| 17 | PT Unilever Indonesia | https://www.unilever.com/brands.html | Director of Digital Transformation | Consumer goods company applying AI in marketing and logistics. |
| 18 | PT Coca-Cola Indonesia | https://www.coca-cola.com/us/contact-us/worldwide/indonesia | Head of Supply Chain | Beverage company using AI for logistics and demand forecasting. |
| 19 | PT Siemens Indonesia | https://new.siemens.com/global/en/company/about-us/contact.html | Industry 4.0 & AI Manager | Industrial technology company with AI applications in manufacturing. |
| 20 | PT Pupuk Indonesia (Persero) | https://www.pupukindonesia.com | Chief Information Officer | Fertilizer company leveraging AI for production optimization. |
Job Profiles, Industries & Event Type
Best Job Profiles to Target:
- Chief Technology Officer (CTO)
- Chief Digital Officer (CDO)
- Head of AI / AI Director
- Director of Innovation
- Head of Data Science
- Chief Information Officer (CIO)
- VP of IT Infrastructure
- Director of Digital Transformation
- Head of AgriTech
- Industry 4.0 & AI Manager
Best Industries to Target (based on Apollo industry list):
- Information Technology & Services
- Financial Services
- Telecommunications
- Computer Software
- Education Management
- Government Administration
- Computer Hardware
- Internet
- Software Development
Client-Product Fit Note
Please share your client's website to refine the buyer list further. The relevance of the event to your client's product will depend on the specific offering:
- If your client sells AI infrastructure or cloud services, target companies like Microsoft Indonesia, NVIDIA Indonesia, and PT Telkom Indonesia.
- If your client offers AI software solutions, consider Gojek, Grab Indonesia, and financial institutions like PT Bank Mandiri and PT Bank BCA.
- For AI in agriculture or manufacturing, focus on PT Indofood Sukses Makmur Tbk and PT Pupuk Indonesia.
- For AI in customer service or marketing, target PT Unilever Indonesia and PT Coca-Cola Indonesia.
Final Recommendation
The 47th Global Edition World AI Show Indonesia is an excellent platform for connecting with key decision-makers in Indonesia's burgeoning AI ecosystem. With its focus on sovereign AI infrastructure and enterprise transformation, this event offers a unique opportunity to engage with stakeholders shaping the country's AI future.
Data sheet
47th Global Edition World AI Show Indonesia – Event Attendee & Buyer Profile Analysis
Event date: 7–8 July 2026
Location: Sheraton Grand Jakarta, Jakarta, Indonesia
Event status: Upcoming
Research date: 30 June 2026
Event Overview
| Event Name | 47th Global Edition World AI Show Indonesia |
| Event Date | 7–8 July 2026 |
| Event Status | Upcoming |
| Venue | Sheraton Grand Jakarta |
| City | Jakarta |
| State / Region | Jakarta |
| Country | Indonesia |
| Organizer | World AI Show / Trescon (organizer name not explicitly shown in the supplied webpage extract; event brand officially confirmed) |
| Official Event Website | worldaishow.com/indonesia |
| Event Type | By-invitation-only AI and enterprise technology conference |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Telecommunication; Banking & Finance; Business Services |
| Audience Reach | National with regional and international executive participation |
| Estimated Attendance / Expected Footfall | 1,000+ business and tech leaders |
| Attendance Data Reliability | Confirmed organizer claim on official event page |
| Main Purpose of Event | To convene infrastructure leaders, enterprise technology decision-makers, policymakers and investors around sovereign AI infrastructure, enterprise GenAI transformation, AI security and governance, and AI implementation at scale in Indonesia. |
About the Event
World AI Show Indonesia 2026 is the 47th global edition of the World AI Show series and is positioned on the official website as Indonesia’s premier platform for enterprise AI architecture. The event is explicitly marketed as “By Invitation Only | For Enterprise Decision Makers” and is designed to gather business, technology, infrastructure, policy, and investment stakeholders around Indonesia’s sovereign and scalable AI future.
From a commercial and lead-generation perspective, the event matters because it concentrates senior enterprise buyers, technology strategists, policymakers, and capital allocators in a tightly themed AI environment. Its program pillars indicate strong relevance for infrastructure procurement, cloud and data sovereignty, cybersecurity and governance, public-sector digital transformation, and enterprise-scale implementation partnerships. This makes it suitable for B2B attendee profiling, senior-level outreach, sponsor targeting, and AI ecosystem partnership development.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Enterprise technology decision-makers | Large enterprises, conglomerates, regulated industries, digital-first businesses | Own platform selection, AI transformation budgets, architecture decisions, vendor evaluation | High-value audience for AI platforms, cloud, data, cybersecurity, integration, and consulting suppliers |
| Infrastructure leaders | Data center operators, cloud teams, telecoms, enterprise infrastructure divisions | Influence compute, GPU, network, storage, sovereignty, and deployment-stack purchases | Critical targets for infrastructure vendors, hyperscale partners, hardware OEMs, and managed services providers |
| Policymakers and public-sector digital leaders | Government ministries, public service agencies, national digital strategy offices, regulators | Shape AI governance frameworks, public-sector adoption priorities, and sovereign AI programs | Important for policy-aligned solutions, govtech partnerships, compliance, and public-sector pilots |
| AI, data, and innovation leaders | Chief AI, data science, analytics, and digital transformation teams | Drive use-case prioritization, implementation models, and vendor shortlisting | Strong targets for enterprise AI software, analytics, MLOps, automation, and advisory firms |
| Cybersecurity and governance leaders | CISO offices, risk teams, governance and compliance functions | Assess security, privacy, compliance, sovereign data control, and AI risk management | Relevant for security, identity, monitoring, risk, and policy-control vendors |
| Investors | VC, PE, strategic investors, corporate venture groups | Influence scale-up funding, market validation, strategic partnerships, and commercialization | Useful for partnership development, market intelligence, and corporate innovation outreach |
| Solution providers and sponsors | AI vendors, cloud companies, infrastructure providers, system integrators | Compete for visibility, partner recruitment, and enterprise deal flow | Useful as channel partners, alliance targets, and co-selling candidates |
| Media and association partners | Trade media, ecosystem networks, associations | Amplify messaging and ecosystem credibility | Relevant for PR, thought leadership, and market awareness |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Jakarta | Local executives, enterprise headquarters teams, government and policy stakeholders | Very High | Capital-city location increases access to corporate, telecom, financial, and public-sector decision-makers |
| Greater Jakarta / West Java corridor | Regional business and technology teams, industrial operators, digital infrastructure stakeholders | High | Likely feeder market for enterprise technology attendance and solution-provider meetings |
| Indonesia national market | National enterprise, telco, banking, state-linked, and digital-economy participants | High | Official site positions event as a premier platform for Indonesia’s enterprise AI architecture |
| ASEAN | Regional partners, investors, AI vendors, cloud and infrastructure players | Medium to High | Global event series branding and Indonesia’s market positioning support regional draw |
| International | Global AI firms, multinational investors, strategic technology companies | Medium | Series-level positioning and speaker/sponsor appeal suggest cross-border executive attendance, though attendee-country mix is not publicly quantified in supplied content |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| National | Primary classification | The official positioning is centered on architecting Indonesia’s AI future, indicating a core national-market audience of enterprise and policy stakeholders. |
| Regional / International | Secondary reach | Global series branding, world-class speaker positioning, and multinational investment themes suggest added ASEAN and international participation. |
4. Sample Buyer Companies and Websites
Current-year buyer-side attendee, sponsor, or speaker-organization lists were not fully visible in the supplied official webpage extract. The table below therefore mixes official market-context organizations mentioned on the event page with high-fit Indonesia AI buyer organizations for prospecting. These should be treated as buyer-target candidates, not confirmed attendee claims, unless otherwise stated.
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Microsoft | Global cloud and AI platform buyer/partner ecosystem participant | Official event page cites Microsoft investment in Indonesia’s AI market context, making it highly relevant to sovereign AI and enterprise transformation conversations | microsoft.com | Country Director, Enterprise Commercial Lead, Azure Director, Public Sector Director, AI Business Lead | Strong Market Fit, Attendance Not Confirmed |
| NVIDIA | AI infrastructure ecosystem leader | Official event page cites NVIDIA AI infrastructure investment, aligning directly with the sovereign AI infrastructure pillar | nvidia.com | Regional Director, Enterprise Sales Director, AI Infrastructure Lead, Partnerships Director | Strong Market Fit, Attendance Not Confirmed |
| Tencent | Technology and cloud ecosystem participant | Official event page cites Tencent expansion in Indonesia’s AI and digital market context | tencent.com | Cloud Director, Partnerships Lead, Enterprise Business Development Director | Strong Market Fit, Attendance Not Confirmed |
| PT Telkom Indonesia (Persero) Tbk | National telecom and digital infrastructure operator | High-fit buyer for AI infrastructure, cloud, data sovereignty, and enterprise implementation partnerships in Indonesia | telkom.co.id | CTO, VP Digital Infrastructure, Director Enterprise Services, Head of AI, CIO | Strong Market Fit, Attendance Not Confirmed |
| Indosat Ooredoo Hutchison | Telecom and enterprise digital-services operator | Relevant for sovereign AI infrastructure, cloud partnerships, enterprise AI deployment, and network-edge use cases | indosatooredoo.com | Chief Business Officer, CTO, Enterprise Director, VP AI, VP Digital Solutions | Strong Market Fit, Attendance Not Confirmed |
| GoTo Group | Large digital platform and enterprise AI adopter | Likely buyer of AI platforms, data tooling, security, and transformation services in Indonesia’s digital economy | goto.com | Chief Data Officer, CTO, VP Engineering, Head of AI, Director Data Platform | Strong Market Fit, Attendance Not Confirmed |
| Bank Mandiri | Enterprise buyer in regulated financial services | High-value prospect for AI governance, analytics, automation, customer intelligence, and secure infrastructure | bankmandiri.co.id | CIO, Chief Digital Officer, Head of Data & Analytics, IT Director, Procurement Director | Strong Market Fit, Attendance Not Confirmed |
| Bank Central Asia (BCA) | Enterprise buyer in banking | Relevant for AI-enabled customer service, risk models, cybersecurity, infrastructure modernization, and governance | bca.co.id | CIO, Chief Digital Officer, Head of Innovation, IT Infrastructure Director, Strategic Sourcing Lead | Strong Market Fit, Attendance Not Confirmed |
| Pertamina | State-linked industrial enterprise buyer | Relevant for industrial AI, predictive analytics, infrastructure security, and enterprise transformation at scale | pertamina.com | CIO, VP Digital Transformation, Head of Data, Operations Technology Director, Procurement Director | Strong Market Fit, Attendance Not Confirmed |
| PLN (Perusahaan Listrik Negara) | Utility and infrastructure buyer | Strong prospect for AI implementation, grid analytics, infrastructure management, public-service AI, and secure digital operations | pln.co.id | CIO, Digital Transformation Director, Head of Innovation, Infrastructure Director, Procurement Head | Strong Market Fit, Attendance Not Confirmed |
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Chief Information Officer | IT | C-Level | Owns strategic technology investment and enterprise architecture direction |
| 2 | Chief Technology Officer | Technology / Engineering | C-Level | Leads platform, infrastructure, integration, and scalability decisions |
| 3 | Chief Digital Officer | Digital Transformation | C-Level | Drives enterprise modernization and AI-enabled transformation programs |
| 4 | Head of AI / AI Director | AI / Innovation | Director / VP | Directly responsible for AI roadmap, pilots, implementation, and vendor evaluation |
| 5 | Chief Data Officer / Head of Data | Data & Analytics | C-Level / VP / Director | Controls data strategy, governance, and model-readiness |
| 6 | CISO / Head of Cybersecurity | Security | C-Level / VP / Director | Important for AI security, data sovereignty, compliance, and governance decisions |
| 7 | Director of Infrastructure / Cloud Director | Infrastructure / Cloud | Director / VP | High-value role for compute, cloud, storage, GPU, and sovereign architecture buying |
| 8 | Procurement Director / Strategic Sourcing Lead | Procurement | Director / Head | Relevant for vendor onboarding, commercial selection, and large enterprise contracts |
| 9 | Public Sector Digital Transformation Leader | Government / Transformation | Director / Senior Official | Relevant due to event focus on government cloud, public services, and national AI strategy |
| 10 | Partnerships Director / Business Development Director | Partnerships / BD | Director / VP | Key for channel alliances, strategic partnerships, and co-sell opportunities |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Core event fit for enterprise AI transformation and architecture | AI software, implementation, integration, services |
| 2 | Computer Software | Strong fit for GenAI platforms, data tools, automation, and enterprise apps | Software buyer and partner targeting |
| 3 | Computer & Network Security | Aligned to AI security and governance pillar | Security tooling, governance, compliance, risk management |
| 4 | Telecommunications | Important for infrastructure, edge, network, and cloud deployment in Indonesia | Telco AI, sovereign infrastructure, data centers |
| 5 | Banking | Highly active AI adoption sector in Indonesia | Fraud, CX, analytics, security, compliance |
| 6 | Financial Services | Covers broader fintech and regulated digital finance adoption | AI-driven operations, underwriting, service automation |
| 7 | Government Administration | Relevant due to public services, cross-ministry integration, and national AI roadmap themes | Govtech, data sovereignty, public AI deployment |
| 8 | Internet | Large digital businesses are natural enterprise AI adopters | Platform AI, personalization, workflow automation |
| 9 | Utilities | Infrastructure-heavy sector with strong AI implementation opportunities | Grid analytics, asset management, operational AI |
| 10 | Oil & Energy | Relevant for industrial AI and infrastructure-scale digital transformation | Predictive maintenance, analytics, secure operations |
| 11 | Management Consulting | Consultancies often attend AI events as transformation advisors and buying influencers | Advisory-led partner sales and enterprise introductions |
| 12 | Venture Capital & Private Equity | Investors are explicitly mentioned by the organizer | Funding, strategic partnerships, market validation |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | 1,000+ | Confirmed | Official event website statistic | Listed as “Business & Tech Leaders” |
| Exhibitor / sponsor count | 40+ | Confirmed | Official event website statistic | Presented jointly as “Sponsors & Exhibitors” |
| Buyer count | Attendance figure not publicly confirmed by the organizer | Not publicly confirmed | No separate buyer figure in supplied official content | Event is invitation-only for enterprise decision-makers, implying high buyer density |
| Speaker count | 40+ | Confirmed | Official event website statistic | Speaker names not fully visible in supplied extract |
| Media / association partners | 40+ | Confirmed | Official event website statistic | Useful for amplification and ecosystem visibility |
| Series historical scale | 46 global editions; 42K+ C-level attendees; 93% decision makers; 51+ countries represented | Historical / prior-series evidence | Official World AI Show series page | Series-level evidence. Not an event-specific current-year attendee count for Indonesia. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Sovereign AI Infrastructure | Compute, cloud, storage, data center, GPU access, national sovereignty controls | Executive meetings with infrastructure and platform leaders | Cloud, hardware, hosting, data center, orchestration, MLOps |
| Enterprise GenAI & Transformation | Use-case deployment, productivity gains, workflow automation, customer experience | Target CIO, CTO, CDO, and business transformation teams | GenAI applications, copilots, automation, analytics, consulting |
| AI Security & Governance | Risk controls, compliance, model security, privacy, auditability | High relevance for regulated sectors and public-sector stakeholders | Security platforms, governance tooling, identity, compliance services |
| AI Implementation at Scale | Production roll-out, integration, change management, ROI realization | Ideal for SI firms, software vendors, and enterprise platform providers | Implementation services, APIs, data integration, training, support |
| Government Cloud & Data Sovereignty | Public-sector control over data, trusted cloud environments, national policy alignment | Engage government digital leaders and compliance-focused enterprise teams | Gov cloud, private cloud, secure hosting, compliance architecture |
| AI in Public Services | Citizen-service digitization, analytics, process efficiency, cross-agency integration | Public-sector pilot and procurement conversations | Govtech solutions, workflow automation, secure data platforms |
| Technology Use-Cases and Demos | Proof of value, implementation examples, industry benchmarking | Hands-on engagement with practical use cases improves follow-up conversion | Demos, pilot offers, solution workshops, case studies |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Very High | The event is explicitly positioned for enterprise decision-makers and AI ecosystem stakeholders. |
| Decision-maker availability | Very High | Invitation-only positioning and enterprise architecture theme indicate senior attendee concentration. |
| Data collection potential | Medium | High-value audience, but public attendee transparency is limited in the supplied official content. |
| Apollo targeting potential | High | Clear industry, department, and seniority filters can be built around AI adoption and infrastructure themes. |
| Geographic targeting potential | High | Jakarta and Indonesia offer strong concentration of enterprise headquarters and public-sector stakeholders. |
| Best outreach approach | High | Executive-led messaging focused on sovereign AI, implementation ROI, security, and infrastructure readiness should perform best. |
| Overall lead quality | High | Excellent event for enterprise AI lead generation, especially for high-ticket B2B solutions. |
| Best use case | High-value ABM and executive outreach | Best suited for curated buyer targeting rather than mass-volume list selling. |
| Limitations / risks | Medium | Publicly visible confirmed attendee and buyer-organization data is limited; list-building requires supplementary validation. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Computer & Network Security; Telecommunications; Banking; Financial Services; Government Administration; Internet; Utilities; Oil & Energy; Management Consulting; Venture Capital & Private Equity | Concentrates on the most relevant AI-buying and AI-influencing sectors |
| Departments | Information Technology; Engineering; Data / Analytics; Security; Innovation; Digital Transformation; Procurement; Partnerships; Operations | Maps to the event’s infrastructure, transformation, and governance themes |
| Seniority | C-Level; VP; Head; Director | Targets likely attendees and economic buyers |
| Job titles | CIO; CTO; Chief Digital Officer; Chief Data Officer; Head of AI; AI Director; CISO; Director Infrastructure; Cloud Director; VP Engineering; Director Data & Analytics; Procurement Director; Strategic Sourcing Lead; Partnerships Director | Focuses on ownership of AI strategy, platform procurement, and implementation |
| Geography | Indonesia first; Jakarta primary; add Singapore, Malaysia, and broader ASEAN for regional partner targeting | Captures local demand and regional ecosystem participants |
| Employee size | 201–500; 501–1,000; 1,001–5,000; 5,001–10,000; 10,001+ | Best fit for enterprise architecture and large-budget AI adoption |
| Keywords | AI, artificial intelligence, GenAI, machine learning, data platform, sovereign cloud, data sovereignty, GPU, data center, cloud transformation, AI governance, digital transformation | Improves precision for event-theme-aligned prospecting |
| Technologies | Cloud infrastructure, analytics stack, cybersecurity stack, AI/ML tooling where available in Apollo enrichment | Useful for identifying mature adopters and high-probability buyers |
| Revenue range | Mid-market to enterprise; prioritize companies with significant IT transformation budgets | Filters toward organizations capable of larger AI projects |
| Company type | Public companies, state-linked enterprises, large private enterprises, digital platforms, strategic investors | Matches the event’s enterprise and policy-heavy profile |
Suggested Apollo Search Logic: Indonesia OR Jakarta geography, combined with seniority filters (C-Level OR VP OR Director OR Head) and title logic such as (“CIO” OR “CTO” OR “Chief Digital Officer” OR “Chief Data Officer” OR “Head of AI” OR “AI Director” OR “CISO” OR “Infrastructure Director” OR “Cloud Director”). Add keyword logic including “AI” OR “GenAI” OR “data platform” OR “digital transformation” OR “data sovereignty” OR “cloud” OR “cybersecurity” for tighter relevance.
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 |
|---|---|---|---|
| World AI Show Indonesia 2026 Official Event Page | Official event website | Event title, edition number, dates, venue, city, country, invitation-only format, target audience, conference pillars, and headline event statistics | Very High |
| World AI Show Global Series Page | Official organizer/event brand page | Upcoming Indonesia edition listing and series-level historical reach data such as editions, C-level attendees, countries represented, and decision-maker share | High |
| Official webpage extract supplied by user | Primary-source content provided in prompt | Confirmed wording used for event positioning, themes, and audience profile; used as the primary source of truth in this report | Very High |
🎯 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 47th Global Edition World AI Show Indonesia — 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