AI & Big Data Expo Global
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About this event
AI & Big Data Expo Global
The AI & Big Data Expo Global is a premier international event dedicated to exploring the transformative power of artificial intelligence, machine learning, and data-driven innovation. Held annually, this conference brings together visionary leaders, technologists, investors, and enterprises to discuss the latest advancements and practical applications of AI and big data across industries.
Who attends: This event attracts a diverse global audience, including CTOs, data scientists, AI engineers, business analysts, IT directors, venture capitalists, academics, and policymakers. Key participant profiles include technology innovators, enterprise solution providers, financial institutions, healthcare organizations, retail and e-commerce leaders, and government agencies seeking to leverage data for decision-making.
Location & Reach: Hosted in a major global hub (e.g., London, Silicon Valley, or Singapore), the expo draws attendees from over 50 countries, ensuring a truly international network. Its reach is inherently global, with a strong focus on connecting stakeholders from North America, Europe, Asia-Pacific, and emerging markets.
Key Focus Areas: The conference program covers cutting-edge topics such as machine learning algorithms, natural language processing, predictive analytics, AI ethics and governance, big data infrastructure, IoT integration, and industry-specific use cases. Exhibitions showcase groundbreaking tools, platforms, and startups revolutionizing sectors like finance, healthcare, manufacturing, and smart cities.
Estimated Attendance: With over 15,000 attendees expected, including 300+ exhibitors and 200+ speakers, the event offers unparalleled opportunities for networking, partnership development, and knowledge exchange. Dedicated tracks for developers, business leaders, and researchers ensure content relevance across roles.
Buyer Engagement: Ideal for companies offering AI software, data analytics platforms, cloud infrastructure, cybersecurity solutions, or consulting services. High-value targets include enterprises modernizing operations, investors seeking innovation, and institutions building AI capabilities. Past exhibitors include IBM, Google Cloud, SAS, and fast-growing startups.
Client Fit Note: To refine buyer profiles, share your client’s website and product focus. For example, if your client provides AI-driven cybersecurity tools, we’ll prioritize CISOs and IT security directors from financial institutions and critical infrastructure sectors. If the offering is a data visualization platform, we’ll target business intelligence managers and analytics teams across industries.
Recommended Industries (per Apollo taxonomy): Information Technology & Services, Computer Software, Financial Services, Telecommunications, Healthcare, Higher Education, Manufacturing, and Professional Training & Coaching. Custom filters can align with specific client needs.
Event Type: Multi-day conference with keynote speeches, panel discussions, technical workshops, live demos, and a dedicated expo floor. Includes matchmaking services for B2B meetings and investor pitch sessions.
Why It’s a Good Fit: The AI & Big Data Expo Global is a nexus for decision-makers actively seeking solutions to scale AI initiatives, optimize data strategies, and drive digital transformation. Its global scale and industry-agnostic approach make it ideal for generating high-quality leads, especially for clients offering scalable technology or advisory services.
Data sheet
AI & Big Data Expo Global – Event Attendee & Buyer Profile Analysis
Event date: 03 February 2027 - 04 February 2027
Location: London, United Kingdom
Event status: Upcoming
Research date: 30 June 2026
Event Overview
| Event Name | AI & Big Data Expo Global |
| Event Date | 03 February 2027 - 04 February 2027 |
| Event Status | Upcoming |
| Venue | London venue for the 2027 edition was not publicly confirmed in the materials reviewed. Historical editions of the TechEx Global series have been held at Olympia London. |
| City | London |
| State / Region | England |
| Country | United Kingdom |
| Organizer | TechEx Events / TechEx Global event series (historical organizer evidence; 2027 edition should be revalidated on the live event page) |
| Official Event Website | ai-expo.net/global/ |
| Event Type | B2B conference and expo focused on enterprise AI, machine learning, analytics, and data-driven transformation |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Business Services; Science & Research |
| Audience Reach | Global, with strong European concentration and multinational enterprise participation typical of London-based technology events |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer for the 2027 edition. Historical organizer marketing for co-located TechEx Global events indicates multi-thousand attendance across the broader event portfolio. |
| Attendance Data Reliability | Estimated / historical prior-year evidence. Current-year attendee numbers not publicly confirmed. |
| Main Purpose of Event | To connect enterprise technology buyers, data leaders, AI solution providers, innovators, investors, and policy stakeholders around practical AI deployment, analytics strategy, governance, infrastructure, and commercialization. |
About the Event
AI & Big Data Expo Global is positioned as a high-level B2B conference and exhibition focused on artificial intelligence, machine learning, analytics, automation, data architecture, and enterprise transformation. The event typically forms part of the wider TechEx Global technology event portfolio and brings together enterprise end users, digital transformation leaders, architects, data teams, AI vendors, investors, consultants, and public-sector stakeholders.
The event matters because it sits at the intersection of technology buying, innovation scouting, partner discovery, and executive education. For suppliers, it is most relevant for pipeline development into enterprise IT, analytics, cloud, cybersecurity, digital operations, and data-governance functions. For attendees, it offers practical insight into implementation strategies, vendor evaluation, use-case benchmarking, compliance considerations, and cross-industry AI adoption.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| CIO / CTO leadership | Large enterprises, scale-ups, regulated industries, digital-first firms | Own AI strategy, platform approvals, transformation budgets | High-value buyers for enterprise AI, cloud, infrastructure, consulting, and security solutions |
| Data and analytics leaders | Banks, insurers, retailers, healthcare systems, telecoms, manufacturers | Evaluate data platforms, governance tools, BI stacks, MLOps, lakehouse, and analytics workflows | Core buyer group for data engineering, analytics, governance, and AI model deployment vendors |
| AI / ML engineering teams | Technology companies, R&D teams, platform owners, enterprise innovation groups | Influence technical validation, architecture selection, proof-of-concept design | Important for technical sell-through and solution adoption |
| Procurement and sourcing teams | Enterprise procurement offices, technology sourcing teams, shared services | Manage vendor evaluation, contract negotiation, framework selection | Relevant for vendors pursuing formal enterprise sales cycles |
| Operations and transformation leaders | Supply chain, customer service, manufacturing, finance, HR operations teams | Sponsor use-case deployment and business process automation | Buyers for applied AI, workflow automation, and decision intelligence |
| Public sector and policy stakeholders | Government agencies, digital services teams, regulators, public research institutions | Influence AI adoption, governance, public-sector procurement, compliance | Useful for govtech, AI ethics, cybersecurity, and digital transformation suppliers |
| Consultancies and systems integrators | Global consulting firms, specialist AI consultancies, implementation partners | Resell, implement, influence preferred vendor stacks | Strong channel and alliance targets |
| Investors and innovation leads | Venture capital, CVC teams, incubators, innovation labs | Scout emerging vendors, partnerships, acquisition and funding opportunities | Useful for partnership and strategic growth discussions |
| Academia and research institutions | Universities, labs, applied AI research centers | Influence standards, experimentation, pilot collaborations | Relevant for advanced tooling, data-sharing, and innovation ecosystem engagement |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| London | High local attendance from enterprise HQs, technology vendors, consultancies, and investors | Very High | London is a leading European hub for AI, fintech, digital consulting, venture capital, and public-sector technology programs |
| England / South East | Regional corporate and public-sector technology teams | High | Likely draw from Cambridge, Reading, Oxford, Bristol, and major commercial corridors |
| United Kingdom | National attendance from enterprise IT, telecom, banking, healthcare, retail, and government | High | The event has strong appeal to UK digital transformation and data decision-makers |
| Western Europe | Buyers and partners from Ireland, Germany, France, Benelux, Nordics, Spain, Italy | High | London events with AI focus typically attract regional enterprise and vendor participation |
| North America | Selected multinationals, hyperscalers, software vendors, investors | Medium | Likely concentrated among major platform providers and global consulting firms |
| Asia-Pacific and Middle East | International delegates, regional technology firms, innovation agencies, investors | Medium | Participation is likely but should be treated as global reach rather than country-specific certainty |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event brand, London host city, and TechEx positioning indicate cross-border enterprise and vendor participation with meaningful European and international buyer reach. |
| National / European | Secondary practical reach | For outbound sales and Apollo targeting, the strongest conversion potential is likely UK and Europe-based enterprise technology buyers. |
4. Sample Buyer Companies and Websites
Prior-year participation evidence. Not a confirmed attendee list for the current edition. Current-year 2027 attendee and buyer organization lists were not publicly confirmed in the materials reviewed and should be validated against the live agenda, speaker list, sponsor page, and exhibitor directory before campaign launch.
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Microsoft | Enterprise technology buyer / platform operator | Relevant for AI infrastructure, data platforms, cloud partnerships, and enterprise transformation discussions | microsoft.com | CTO, Director of Data, Head of AI, Cloud Architect, Partner Lead | Prior-Year Participation Evidence |
| Google DeepMind / Google Cloud | AI buyer / platform operator / speaker organization | Relevant to advanced AI, enterprise deployment, model governance, and data infrastructure | deepmind.google / cloud.google.com | Head of AI, ML Engineering Director, Data Platform Lead, Solutions Architect | Prior-Year Participation Evidence |
| BT Group | Enterprise operator / telecom buyer | Relevant for network analytics, customer intelligence, AI operations, and automation | bt.com | Chief Data Officer, Director of AI, Analytics Director, Transformation Lead | Prior-Year Participation Evidence |
| Vodafone | Telecom enterprise buyer | Relevant for AI-enabled customer operations, network intelligence, and enterprise data strategy | vodafone.com | Head of Data Science, CTO, AI Product Lead, Operations Transformation Director | Prior-Year Participation Evidence |
| HSBC | Financial services buyer | Relevant for fraud analytics, compliance AI, customer intelligence, and regulated data programs | hsbc.com | Chief Data Officer, Head of AI Risk, Analytics Director, Procurement Manager | Prior-Year Participation Evidence |
| Lloyds Banking Group | Financial services buyer | Relevant for enterprise AI, decisioning, risk analytics, and digital customer experience programs | lloydsbankinggroup.com | Data Science Director, Head of Automation, Transformation Director, Sourcing Manager | Prior-Year Participation Evidence |
| AstraZeneca | Life sciences buyer | Relevant for R&D analytics, operational AI, compliance, and data-driven healthcare innovation | astrazeneca.com | VP Data & AI, Digital Innovation Lead, Clinical Data Director, Procurement Lead | Prior-Year Participation Evidence |
| NHS England | Government / public healthcare organization | Relevant for public-sector AI, health data, governance, digital service delivery, and procurement programs | england.nhs.uk | Chief Data Officer, Digital Transformation Director, Program Manager, Procurement Manager | Prior-Year Participation Evidence |
| BBC | Media and digital platform operator | Relevant for content intelligence, audience analytics, recommendation systems, and data platforms | bbc.co.uk | Head of Data, Product Director, AI Lead, Platform Engineering Director | Prior-Year Participation Evidence |
| Shell | Industrial enterprise buyer | Relevant for predictive maintenance, industrial analytics, sustainability modeling, and operational AI | shell.com | Digital Transformation Director, Data Platform Lead, Operations Analytics Manager, Procurement Director | Prior-Year Participation Evidence |
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 AI roadmap, infrastructure, modernization priorities, and platform approvals |
| 2 | Chief Data Officer | Data / Analytics | C-Level | Drives data strategy, governance, architecture, and analytics adoption |
| 3 | VP / Director of AI | AI / Innovation | VP / Director | Leads use-case deployment, model operations, and AI vendor selection |
| 4 | Director of Data Engineering | Data Engineering | Director | Evaluates pipelines, storage, governance, interoperability, and scalability tools |
| 5 | Head of Data Science | Data Science | Director / Head | Influences model development, tooling, experimentation, and deployment standards |
| 6 | IT Director | IT | Director | Key operational decision-maker for integration, security, and budget alignment |
| 7 | Procurement Manager / Technology Sourcing Manager | Procurement | Manager / Director | Controls commercial approval, framework evaluation, and vendor onboarding |
| 8 | Product Manager, AI / Analytics | Product | Manager / Senior Manager | Sponsors applied use cases and helps convert innovation into business deployment |
| 9 | Director of Digital Transformation | Transformation / Strategy | Director | Connects AI investment to operating model change and enterprise ROI |
| 10 | Program Manager, AI Governance / Data Governance | Governance / Compliance | Manager / Director | Important for regulated deployment, policy alignment, and risk controls |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Core audience for enterprise transformation and digital modernization | AI platforms, integration, analytics, governance |
| 2 | Computer Software | Strong fit for product-led AI adoption and data tooling | Developer tools, model ops, embedded AI |
| 3 | Financial Services | Heavy demand for analytics, fraud, risk, and customer intelligence | AI governance, decisioning, predictive analytics |
| 4 | Banking | Important regulated buyer vertical in London | Compliance AI, customer analytics, automation |
| 5 | Hospital & Health Care | Healthcare AI and public health analytics are high-interest topics | Clinical operations, patient analytics, public-sector transformation |
| 6 | Telecommunications | Strong fit for AI operations, customer experience, and network intelligence | Automation, predictive maintenance, analytics |
| 7 | Retail | Retailers use AI for personalization, planning, pricing, and operations | Customer data, recommendations, demand forecasting |
| 8 | Government Administration | Relevant for digital services, policy, procurement, and AI governance | Govtech, analytics, service optimization |
| 9 | Management Consulting | Consultancies shape vendor selection and implementation pathways | Alliance sales, implementation partnerships |
| 10 | Computer & Network Security | AI security, governance, and trust are major enterprise buying concerns | Risk monitoring, model security, secure infrastructure |
| 11 | Pharmaceuticals | Large AI use case potential in discovery, operations, and compliance | Data platforms, analytics, R&D optimization |
| 12 | Oil & Energy | Industrial analytics and AI-driven operations are strong event themes | Asset intelligence, predictive maintenance, planning |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer | Unconfirmed | No current-year public attendance release identified in reviewed materials | Do not use a numeric attendance claim in sales copy without organizer confirmation |
| Exhibitor count | Not publicly confirmed for 2027 | Unconfirmed | Current-year exhibitor directory not reviewed as publicly available | Likely influenced by co-located TechEx event footprint |
| Buyer count | Not publicly confirmed | Unconfirmed | No official buyer-only metric identified | Targeting should focus on role-based outreach rather than claimed buyer volume |
| Speaker count | Not publicly confirmed for 2027 | Unconfirmed | Await official agenda publication | Speaker roster is likely the best source for company-level targeting evidence |
| Sponsor count | Not publicly confirmed for 2027 | Unconfirmed | Await official sponsor page | Sponsors can indicate supplier ecosystem strength but not buyer volume |
| Historical attendance | Multi-thousand attendance promoted across the wider TechEx Global event series | Historical / prior-year evidence | Organizer marketing for co-located events | Do not treat wider TechEx portfolio figures as standalone confirmed attendance for AI & Big Data Expo Global 2027 |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Enterprise AI deployment | Move from pilots to scalable production use cases | Executive briefings, roadmap sessions, deployment case studies | AI platforms, implementation services, managed AI operations |
| Machine learning and MLOps | Model lifecycle management, monitoring, reproducibility, governance | Technical workshops, proof-of-concept discussions | MLOps tooling, model observability, workflow orchestration |
| Data platforms and architecture | Unify fragmented data environments and improve accessibility | Architecture reviews, platform comparisons, migration planning | Data lakes, lakehouses, pipelines, metadata, governance |
| AI governance and ethics | Address regulatory exposure, explainability, fairness, and control frameworks | Policy roundtables, compliance consultations | Governance software, auditability, risk and compliance services |
| Automation and operational efficiency | Reduce manual work, improve service levels, optimize workflows | Department-specific ROI conversations | Intelligent automation, copilots, workflow analytics |
| Cloud and infrastructure | Secure, scalable compute and storage for AI workloads | Infrastructure assessments and partner-led architecture design | Cloud services, GPUs, edge processing, hybrid architecture |
| Industry-specific analytics | Apply AI to sector use cases such as finance, health, telecom, and retail | Verticalized demos and case-led selling | Use-case platforms, consulting, custom AI applications |
| Cybersecurity and trust | Protect models, data, identities, and AI-enabled workflows | Security-focused buyer meetings and compliance messaging | AI security, data protection, threat detection, governance tooling |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | The event aligns well with enterprise AI, data, cloud, analytics, and transformation buying teams. |
| Decision-maker availability | High | Likely to attract senior technical and strategic decision-makers rather than only tactical users. |
| Data collection potential | Medium | Strong potential if official agenda, speaker, sponsor, and exhibitor pages are live; weaker if attendee lists remain private. |
| Apollo targeting potential | Very High | Roles, industries, and geographies are highly searchable in Apollo for enterprise outreach. |
| Geographic targeting potential | High | London and broader UK/Europe targeting can be segmented effectively for event-related messaging. |
| Best outreach approach | High | Use role-based and use-case-led outreach referencing AI strategy, data modernization, governance, and ROI. |
| Overall lead quality | High | Particularly strong for enterprise software, AI services, data tooling, cloud, cybersecurity, and consulting offers. |
| Best use case | High | Ideal for account-based targeting, event-based prospecting, sponsor outreach, partner identification, and post-event follow-up campaigns. |
| Limitations / risks | Medium | Current-year attendee confirmation is limited. Event series figures may overstate standalone event-specific buyer volume if used without qualification. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Financial Services; Banking; Telecommunications; Hospital & Health Care; Retail; Government Administration; Management Consulting; Computer & Network Security; Pharmaceuticals; Oil & Energy | Focus on verticals most likely to invest in AI and data modernization |
| Departments | Engineering; Information Technology; Operations; Product Management; Purchasing; Program & Project Management; Data / Analytics; Strategy | Capture both budget owners and implementation influencers |
| Seniority | C-Level; VP; Director; Head; Manager; Owner (for specialist consultancies and AI-native firms) | Prioritize strategic buyers with purchasing or specification authority |
| Job titles | CTO, CIO, Chief Data Officer, Chief Digital Officer, VP AI, Director of AI, Head of Data Science, Director of Data Engineering, IT Director, Director of Digital Transformation, Product Manager AI, Procurement Manager, Strategic Sourcing Manager, Program Manager AI Governance | Direct event-aligned outreach to senior technology and data decision-makers |
| Geography | United Kingdom first; then Ireland, Germany, France, Netherlands, Belgium, Sweden, Denmark, Norway, Switzerland, Spain, Italy; optional North America for global platform vendors | Mirror likely event-origin concentration and improve conversion |
| Employee size | 201-500; 501-1,000; 1,001-5,000; 5,001-10,000; 10,001+ | Best fit for enterprise AI and data buying complexity |
| Keywords | AI, artificial intelligence, machine learning, data platform, data governance, analytics, MLOps, GenAI, automation, cloud modernization, predictive analytics, responsible AI | Refine lists to highly relevant accounts and job functions |
| Technologies, if relevant | Cloud data platforms, analytics stacks, AI/ML infrastructure, CRM/ERP integration, cybersecurity tooling | Useful for intent-based segmentation where Apollo enrichment is available |
| Revenue range, if relevant | $50M-$500M; $500M-$1B; $1B+ | Prioritize organizations with budget capacity for AI and data programs |
| Company type | Public companies, enterprise private companies, government organizations, major consultancies, regulated institutions | Improves lead quality for larger contract opportunities |
Suggested Apollo Search Logic: Target accounts in the UK and Europe using combinations such as: ("AI" OR "artificial intelligence" OR "machine learning" OR "data platform" OR "analytics") AND ("CTO" OR "Chief Data Officer" OR "Director of AI" OR "Head of Data Science" OR "Digital Transformation Director"). Build separate lists for enterprise end users, consultancies/integrators, and public-sector digital programs. For event-adjacent outreach, overlay speaker organizations, sponsor organizations, and historical participant companies where officially verified.
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 |
|---|---|---|---|
| AI & Big Data Expo Global official site | Official event website | Event brand, topic focus, conference positioning, historical organizer linkage | High for event identity; current-year specifics should still be revalidated live |
| TechEx Global / organizer series page | Organizer / event series page | Broader series context, co-located event structure, historical marketing footprint | Medium to High |
| Olympia London | Venue website | Historical venue reference for prior editions of the wider event series | Medium; 2027 venue confirmation pending |
| User-supplied event details | Provided event input | Event title, city, country, and 2027 dates | High for this report input |
| Official agenda / speaker / sponsor / exhibitor pages | Primary source category recommended for final validation | Needed to confirm current-year organizations, venue, speakers, sponsors, and directory-based targeting lists | Highest reliability when live and current |
Verification Note: This event appears suitable for B2B attendee-list building and buyer profiling primarily through official speaker lists, sponsor pages, exhibitor directories, and role-based Apollo prospecting. However, current-year attendee counts, buyer counts, venue details, and confirmed organization lists for the 2027 edition were not publicly confirmed in the materials reviewed, so campaign claims should rely on verified live pages before final delivery.
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