🎯 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 HumanX - The #1 AI Conference for Business Leaders — 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

HumanX – The #1 AI Conference for Business Leaders (HumanX Europe & HumanX US)

HumanX is positioned as a senior, action-oriented AI conference built for “real-world AI application and actionable insight.” The event explicitly emphasizes executive attendance, enterprise-focused AI strategy, and no pay-to-play / no vendor pitches disguised as sessions. It runs on two major calendars:

  • HumanX Europe: September 22–24, 2026RAI Amsterdam, Netherlands (Amsterdam, NL)
    Stated figures: 2,500+ attendees, 200+ speakers, 150+ sponsors.
  • HumanX US: March 7–10, 2027Mandalay Bay, Las Vegas, USA (Las Vegas, NV, USA)
    Stated figures: 9,500+ attendees, 350+ speakers, 700+ sponsors.

1) Who attends (BUYERS / ATTENDEES)

HumanX is strongly decision-maker heavy. The official event information states: 60% VP & above, plus additional senior leadership representation including operators and ecosystem builders shaping enterprise AI strategy. While the broader ecosystem is involved (speakers, sponsors, journalists), the “buyer” intent is concentrated in leaders who can commission, approve, and operationalize AI initiatives.

Primary buyer/attendee segments (most relevant for B2B targeting)

  • VP & C-level leaders who sponsor AI roadmaps across product, operations, data, and customer functions.
  • Heads of AI / ML and enterprise AI strategy teams (often owning evaluation, vendor selection, and rollout plans).
  • Data & analytics leaders (Data/AI platforms, governance, scaling from pilots to production).
  • Chief Digital / Transformation leadership focused on AI-driven business change.
  • Functional operators where AI has ROI (GTM, RevOps, CX/Support, Supply Chain, Finance, Risk, Compliance).
  • Investors and ecosystem builders supporting funding pathways, partnerships, and adoption (the event also references curated programs such as SolutionBridge, VentureConnect, and Peer [X]change).

What this means for attendee-list research

For a “buyer-first” approach, HumanX is not a mass-consumer audience event; it is designed for enterprise decision-makers. The best attendee-list matches typically come from senior titles (VP+), as well as leadership roles adjacent to AI adoption and procurement/selection processes.

2) Where the show is happening + attendee geographic origin

HumanX runs across two geographies:

  • HumanX Europe: RAI Amsterdam, Netherlands — September 22–24, 2026.
  • HumanX US: Mandalay Bay, Las Vegas, USA — March 7–10, 2027.

For geographic origin, the official site states “9,000+ attendees globally” and positions the Europe event as a major senior-leader gathering for enterprise AI strategy. However, the website text provided does not enumerate exact country-by-country splits. Therefore, we treat geographic origin as global with strong concentration in the host-region ecosystem (European leadership for Amsterdam; North American enterprise leadership for Las Vegas).

Buyer targeting implication by region

  • Amsterdam (Europe): prioritize European enterprise AI leaders and global companies with EU operations, offices, or data/AI governance teams.
  • Las Vegas (US): prioritize US-based and global enterprises with North American AI transformation programs.

3) Audience reach (Local / National / Global)

HumanX is fundamentally a global audience event. The official website references 9,000+ attendees globally. Additionally, it positions the Europe event as a major stage for enterprise AI leadership in that region, while the US event is described as the flagship event with substantially higher attendance.

Summary by reach:

  • HumanX Europe (Amsterdam): Global / international senior ecosystem with a strong Europe concentration.
  • HumanX US (Las Vegas): Global enterprise AI leadership with a strong US and North America concentration.

4) Sample buyer company names (BUYERS ONLY) + Websites

Below is a curated set of enterprise buyer-style targets commonly associated with AI adoption, enterprise platforms, and large-scale digital transformation. These are sample accounts to guide research and lead-list building; final inclusion should align to your specific product category and ICP.

Important: We will refine the “best buyers” after you share your client website (requested in section 8 below).

Buyer sample table (15–20 accounts)

Priority Company Website Best Title to Target Why This is a Good Buyer Fit
1 Microsoft microsoft.com VP, AI Platforms / Head of Enterprise AI Large-scale enterprise AI adoption and platform leadership; strong fit for enterprise AI roadmaps.
2 Google Cloud cloud.google.com Director/VP, AI Strategy & Data Platforms Enterprise data + AI platform ownership; relevant to scaling AI beyond pilots into operations.
3 Amazon Web Services (AWS) aws.amazon.com VP, Machine Learning / Enterprise AI GTM Enterprise AI services leadership; commonly intersects with senior AI adoption decisions.
4 Salesforce salesforce.com VP, AI Product / Chief Data & AI Officer AI for CRM/CX and enterprise workflows; strong buyer fit for functional AI deployment.
5 Adobe adobe.com VP, Applied AI / Head of AI Transformation Applied AI in marketing, content, and document workflows—high relevance for business-leader AI strategy.
6 ServiceNow servicenow.com VP, Enterprise AI / Head of AI Product Strategy AI-driven automation and workflow transformation; aligns to operational ROI focus.
7 IBM ibm.com VP, AI & Automation / Director, Enterprise AI Consulting Enterprise AI consulting + platforms; often targets exec-level AI transformation.
8 Oracle oracle.com VP, AI Applications / Director, Data & AI Strategy Enterprise application and data ecosystem; relevant for scaling AI across business functions.
9 Siemens siemens.com VP, Digital Industries / AI Transformation Lead Industrial transformation with AI use cases; strong fit for enterprise operators and AI deployment leadership.
10 Unilever unilever.com VP, Data & AI / Head of AI for Operations Enterprise-scale AI adoption across supply chain, marketing, and operations.
11 HSBC hsbc.com Head of AI / VP, Data Science & Model Governance Financial services AI adoption emphasizes governance, risk, and scalable deployment.
12 JPMorgan Chase jpmorganchase.com VP, AI / Head of AI & Advanced Analytics Senior AI leadership with enterprise deployment priorities and governance needs.
13 Pfizer pfizer.com VP, AI & Data Science / Head of Applied ML AI adoption in research, operations, and compliance; aligned with business-led AI outcomes.
14 Merck merckgroup.com Director/VP, AI Enablement & Data Platforms Strong fit for enterprise AI teams looking at model lifecycle and platform scaling.
15 Accenture accenture.com VP, AI Transformation Services / Global Delivery Lead AI transformation delivery at enterprise scale; intersects with business leader priorities.
16 Deloitte deloitte.com Partner, AI & Analytics / VP, AI Consulting Exec-level consulting for AI strategy and rollout; aligns with the “actionable insight” positioning.
17 Equinix equinix.com VP, Data Center AI Infrastructure / Global AI Strategy AI infrastructure enablement; a fit if your client supports enterprise-scale AI infrastructure needs.
18 Uber uber.com VP, AI & Data / Head of ML Platform Operational AI at scale; strong buyer fit for executives focused on productionizing AI systems.
19 Booking Holdings bookingholdings.com VP, AI / Director, Personalization & Data Science Business-impact AI use cases in personalization, optimization, and customer experience.
20 Roche roche.com VP, Data Science & AI / Head of Applied AI Enterprise AI deployment and applied model usage; aligned to enterprise leadership audiences.

Top 5 priority sample targets (send first)

  1. Microsoft (microsoft.com)
  2. Amazon Web Services (aws.amazon.com)
  3. Google Cloud (cloud.google.com)
  4. Salesforce (salesforce.com)
  5. ServiceNow (servicenow.com)

5) Job profiles, industries & event type

Best job profiles to target (VP+ leaning)

  • Chief AI Officer / Chief Data & AI Officer
  • VP, AI / VP, Machine Learning / VP, Applied AI
  • Head of Enterprise AI Strategy
  • VP/Director, Data & Analytics Platforms
  • Director/VP, AI Product Strategy
  • Head of Model Governance / AI Risk & Compliance (where applicable)
  • Chief Digital Officer / Transformation Leader (AI-enabled transformation)
  • VP, Digital Operations / VP, Business Operations (AI deployment)
  • VP, Customer Experience (CX) / Head of AI for CX
  • VP/Head, RevOps / AI for Sales & Marketing (if your solution supports GTM outcomes)

Industries & event type (how HumanX “filters” buyers)

HumanX is an enterprise AI conference for business leaders, with functional tracks and matchmaking/relationship programs. The strongest industries for buyer fit depend on your client’s solution category (infrastructure, platforms, governance, applied AI, data modernization, or outcomes like CX/ops).

6) Estimated attendance (expected total footfall)

The official website provides attendance by region:

  • HumanX Europe (Amsterdam, RAI): 2,500+ attendees
  • HumanX US (Las Vegas, Mandalay Bay): 9,500+ attendees
  • Global combined scale (as referenced by the site): 9,000+ attendees globally and a multi-event footprint that positions the series as a global gathering.

For “buyer density,” the site states 60% VP & above, which is unusually favorable for B2B lead discovery compared to many general tech conferences.

7) Key focus areas & buyer engagement

The event’s buyer-relevant focus areas are described as: real-world AI application, actionable insight, and executive-level strategy conversations.

Likely buyer engagement themes

  • Enterprise AI strategy (roadmaps, value mapping, execution planning)
  • Scaling from pilots to production (practical rollout considerations)
  • Operationalizing AI (workflows, ROI labs, hands-on collaborative formats)
  • Curated business connections via programs such as SolutionBridge, VentureConnect, Peer [X]change
  • Cross-industry learning (senior leaders and ecosystem builders across multiple sectors)

What messaging works best for buyers

We recommend positioning outreach around: business outcomes, execution support, and enterprise readiness, rather than “AI experimentation” alone—because HumanX is framed as Built for Action, not Performance.

8) Client-product fit note (buyer selection depends on what your client sells)

HumanX buyer fit depends heavily on your client’s product category. To recommend the “best buyers” for your exact needs, we need your client’s website so we can match: solution type, primary use case, buyer persona, and most likely enterprise segments.

Please share your client website. Once provided, we will return:

  • The most relevant buyer titles to target for that product
  • The highest-fit company set (enterprise + mid-market pattern depending on the solution)
  • Recommended industries using an industry taxonomy aligned to Apollo-style filters
  • A refined buyer table (15–20 rows) specifically matched to your client’s ICP

If you prefer, also share: target countries (Europe-only, US-only, or both) and whether the client sells to IT/data teams, business operations, or risk/governance.

9) Suggested industries (using the provided Apollo industry list)

For an AI conference centered on business leaders, the most commonly matching Apollo-style industries (selected from your list) typically include:

  • Computer Software
  • Information Technology & Services
  • Internet
  • Data & analytics adjacent coverage (often falls under Market Research or Management Consulting depending on the company)
  • Financial Services (AI for risk, fraud, personalization, operations)
  • Health, Wellness & Fitness / Hospital & Health Care (if applied AI supports clinical, operations, or research workflows)
  • Marketing & Advertising (if your client supports CX, personalization, campaign optimization)
  • Industrial Automation / Mechanical or Industrial Engineering (if your client targets manufacturing AI use cases)
  • Logistics & Supply Chain (AI for planning, routing, predictive maintenance)
  • Renewables & Environment (if applicable to enterprise optimization and predictive operations)

Final recommendation (how we position HumanX for best buyer research results)

HumanX is a strong event for buyer-focused research because the official information highlights: 60% VP & above, large sponsor participation, and a clear emphasis on actionable enterprise AI. The event is designed to attract leaders who can influence or approve AI investment and rollout decisions.

Our next step to deliver the best buyers is to review your client product. Please share the client website, and we will refine the buyer list and targeting strategy accordingly.

Data sheet

HumanX - The #1 AI Conference for Business Leaders – Event Attendee & Buyer Profile Analysis
HumanX - The #1 AI Conference for Business Leaders – Event Attendee & Buyer Profile Analysis
Event Date: March 7–10, 2027
Location: Mandalay Bay, Las Vegas, NV, United States
Event Status: Upcoming
Research Date: July 1, 2026
Event Overview
Event Name HumanX - The #1 AI Conference for Business Leaders
Event Date March 7–10, 2027
Event Status Upcoming
Venue Mandalay Bay
City Las Vegas
State / Region Nevada
Country United States
Organizer HumanX
Official Event Website humanx.co
Event Type Conference / Summit / Executive Networking Event
Primary Category IT & Technology
Secondary Applicable Categories Business Services; Education & Training; Science & Research
Audience Reach Global
Estimated Attendance / Expected Footfall 9,500+ attendees at the Las Vegas flagship event (organizer-published expectation)
Attendance Data Reliability High for published organizer expectation; attendance figure not independently audited in the provided source text.
Main Purpose of Event Executive AI education, enterprise networking, curated matchmaking, solution discovery, and thought leadership for business leaders deploying AI.
About the Event

HumanX is positioned as a premier AI conference series built for enterprise leaders, operators, and decision-makers. The official event language emphasizes practical AI adoption, actionable insight, and curated connection rather than product-heavy selling. The Las Vegas flagship edition at Mandalay Bay is presented as the highest-profile gathering in the series, with a large executive audience, multiple speaker tracks, and a substantial sponsor ecosystem.

This event matters because it sits at the center of enterprise AI buying intent, especially for organizations evaluating AI strategy, governance, deployment, infrastructure, data readiness, workflow automation, and commercialization. The audience mix is especially relevant for suppliers seeking senior-level contacts in technology, operations, innovation, partnerships, procurement-adjacent functions, and strategic transformation roles.

1. Who Attends: Buyers / Attendees
Buyer / Attendee Segment Typical Organizations Buying Role or Influence Relevance to Exhibitors / Suppliers
Enterprise AI leadershipLarge enterprises, digital-native firms, technology-forward brandsOwns AI strategy, roadmap, and budget prioritiesPrimary audience for AI platforms, advisory, data, governance, and infrastructure vendors
CIO / CTO / CDO teamsEnterprise IT, data, and architecture organizationsTechnical evaluation, vendor selection, implementation approvalHigh-value contacts for software, cloud, cybersecurity, and systems integration suppliers
AI / innovation leadersInnovation labs, digital transformation groups, applied AI teamsPilot ownership, proof-of-concept evaluation, internal championingStrong fit for startups, AI platforms, workflow automation, and model orchestration vendors
Procurement and sourcing teamsEnterprise procurement, strategic sourcing, vendor managementCommercial review, contract negotiation, supplier approvalRelevant for AI procurement, governance, managed services, and enterprise software vendors
Operations and transformation leadersBusiness operations, shared services, process excellence teamsOperational sponsor for AI deployment and process redesignUseful for automation, analytics, and workflow optimization suppliers
Product and platform leadersSaaS companies, digital product organizations, platformsFeature prioritization, AI product integration, build-vs-buy decisionsStrong for API, data, MLOps, and product-led AI companies
Investors and venture teamsVCs, CVCs, growth investors, accelerator networksCapital allocation, partner identification, ecosystem mappingRelevant for startups, AI infrastructure vendors, and partnership sellers
Consultants and advisorsStrategy firms, boutique AI consultancies, systems integratorsInfluence buyer selection, implementation, and ecosystem recommendationsUseful channel partners and referral sources for technology suppliers
Media and analystsIndustry media, market intelligence, analyst firmsVisibility, validation, and market educationSupports thought leadership, launches, and category building
2. Event Location and Attendee Geographic Origin
Geographic Area Likely Attendee Origin Buyer Concentration Notes
Las Vegas host marketLocal executives, vendors, hospitality and venue ecosystemMediumUseful for onsite meetings, sponsor logistics, and local enterprise networking
West Coast business hubsSan Francisco Bay Area, Los Angeles, San Diego, SeattleHighStrong concentration of AI, cloud, software, and venture-backed buyers
U.S. national reachEnterprise buyers from finance, retail, healthcare, manufacturing, public sector, and techVery HighThe event is explicitly positioned for enterprise AI leaders nationwide
International reachEurope, Canada, APAC, global enterprise and vendor ecosystemsHighOfficial site states global attendance and a two-continent series
AI ecosystem corridorsBay Area, Austin, New York, Boston, Toronto, London, AmsterdamHighParticularly relevant for sponsors, partners, and enterprise vendor targeting
3. Audience Reach
Reach Level Assessment Explanation
Global Primary classification The official site describes HumanX as a global AI conference series with two continents and 9,000+ global AI leaders.
4. Sample Buyer Companies and Websites
Buyer Company / Organization Buyer Type Why It Is Relevant Website Best Job Titles to Target Evidence Level
MicrosoftEnterprise technology buyer / platform operatorLarge AI, cloud, and enterprise software footprint; strong fit for AI ecosystem partnershipsmicrosoft.comVP AI, Director of Partnerships, Azure leaders, product managersStrong Market Fit, Attendance Not Confirmed
GoogleTechnology buyer / AI platform providerAI infrastructure and applied AI buyers are highly aligned with the conference audiencegoogle.comAI product leaders, cloud GTM, partnerships, enterprise salesStrong Market Fit, Attendance Not Confirmed
Amazon Web ServicesCloud / AI infrastructure buyerEnterprise AI deployment and infrastructure decision-makers are highly relevantaws.amazon.comAI/ML leaders, solutions architects, partner development managersStrong Market Fit, Attendance Not Confirmed
IBMEnterprise technology buyer / consultantAI strategy, hybrid cloud, and enterprise modernization buying centersibm.comVP AI, consulting partners, enterprise architectsStrong Market Fit, Attendance Not Confirmed
SalesforceEnterprise software buyer / platform operatorGenerative AI, CRM automation, and customer workflow transformation are core themessalesforce.comProduct, AI, customer success, partnershipsStrong Market Fit, Attendance Not Confirmed
AccentureConsulting / systems integration buyerMajor influencer for enterprise AI adoption, implementation, and partnership sourcingaccenture.comManaging directors, AI transformation leads, alliance leadersStrong Market Fit, Attendance Not Confirmed
DeloitteConsulting / advisory buyerEnterprise AI advisory and delivery teams are high-probability attendeesdeloitte.comPartners, principals, AI strategy directorsStrong Market Fit, Attendance Not Confirmed
WalmartRetail buyer / enterprise operatorRetail AI use cases include demand forecasting, supply chain, and customer experiencewalmart.comDigital, analytics, procurement, merchandising, operationsStrong Market Fit, Attendance Not Confirmed
JPMorgan ChaseFinancial services buyerAI governance, risk, fraud, and automation are major enterprise buying areasjpmorganchase.comChief data officer, AI governance, procurement, innovationStrong Market Fit, Attendance Not Confirmed
UnitedHealth GroupHealthcare buyer / operatorLarge-scale automation, analytics, and workflow AI opportunitiesuhg.comDigital transformation, analytics, procurement, innovationStrong Market Fit, Attendance Not Confirmed
PfizerPharma buyer / R&D operatorAI for research, compliance, operations, and knowledge management is highly relevantpfizer.comR&D data, digital, procurement, IT leadershipStrong Market Fit, Attendance Not Confirmed
United States Federal GovernmentGovernment buyerPublic-sector AI adoption, procurement, compliance, and modernization are key themesusa.govContracting officers, program managers, CIOs, acquisition leadsStrong Market Fit, Attendance Not Confirmed
NVIDIAAI infrastructure buyer / ecosystem leaderHardware, compute, and AI platform relevance to enterprise AI deploymentsnvidia.comEnterprise GTM, partnerships, product marketing, solution engineeringStrong Market Fit, Attendance Not Confirmed
ServiceNowWorkflow automation / enterprise software buyerAI-driven operations, service management, and enterprise workflow automationservicenow.comAI product, procurement, partnerships, enterprise salesStrong Market Fit, Attendance Not Confirmed
ShopifyDigital commerce buyerRetail, commerce automation, and merchant enablement are relevant AI use casesshopify.comProduct, partnerships, merchant solutions, data scienceStrong Market Fit, Attendance Not Confirmed
5. Job Profiles, Industries and Event Type
Priority Job Title / Function Department Seniority Level Why This Role Matters
1Chief AI Officer / Chief Digital Officer / CIO / CTOExecutive / IT / DigitalC-levelOwn AI strategy, enterprise technology direction, and major budget decisions
2VP AI / VP Data / VP Digital TransformationAI / Data / TransformationVPLeads enterprise adoption and vendor evaluations for AI programs
3Director of AI / Head of AI / AI Program DirectorInnovation / AIDirectorTranslates executive strategy into implementations and pilots
4Director of Procurement / Strategic Sourcing ManagerProcurement / SourcingDirector / ManagerEvaluates vendors, contracts, and commercial terms for AI solutions
5Enterprise Architect / Solutions ArchitectArchitecture / ITDirector / Manager / Senior ICDetermines technical fit, integration approach, and scalability
6Head of Data Science / ML Engineering LeadData / EngineeringHead / DirectorEvaluates model tooling, data pipelines, and AI operationalization
7Operations Director / Business Process Excellence LeadOperationsDirector / VPOwns automation, productivity, and workflow redesign use cases
8Innovation Director / Strategy DirectorCorporate Strategy / InnovationDirector / VPScans the market and sponsors new technology adoption
9Partnerships Director / Alliances ManagerBusiness Development / PartnershipsDirector / ManagerCritical for channel, integration, and ecosystem deals
10Program Manager / PMO LeadProgram ManagementManager / DirectorCoordinates pilots, implementation timelines, and stakeholder engagement
Priority Apollo Industry Why It Fits the Event Best Buyer Use Case
1Information Technology & ServicesCore sector for AI platforms, systems integration, and enterprise deploymentPlatform, services, and co-sell targeting
2Computer SoftwareHigh concentration of AI product builders and enterprise buyersSaaS, AI apps, MLOps, workflow tools
3Management ConsultingStrong advisor and influencer segment for enterprise AI adoptionPartnering and enterprise referral development
4Financial ServicesMajor AI spenders on risk, fraud, automation, and customer intelligenceCompliance, analytics, and automation solutions
5BankingHigh enterprise governance and risk-buying intensityAI governance, compliance, and fraud prevention
6RetailLarge-scale AI demand in personalization, supply chain, and merchandisingForecasting, customer service, and pricing tools
7Hospital & Health CareOperational efficiency, clinical workflow, and analytics use casesAutomation, data, and compliance solutions
8PharmaceuticalsAI for research, knowledge management, and regulated operationsResearch acceleration and enterprise AI platforms
9Computer & Network SecurityAI adoption increases cybersecurity and governance demandSecurity, identity, governance, and monitoring
10InternetDigital-native companies are early adopters and strong partnersGrowth-stage AI and platform selling
11Venture Capital & Private EquityInvestor ecosystem present around AI innovation and startup discoveryFundraising, partnerships, and portfolio solutions
12Government AdministrationPublic sector AI modernization and procurement interestGovTech, compliance, and acquisition targeting
6. Estimated Attendance
Metric Figure Status Source / Basis Notes
Estimated total footfall9,500+ attendeesConfirmed organizer-published expectationOfficial event website textFlagship Las Vegas edition only
Exhibitor / sponsor count700+ sponsorsConfirmed organizer-published expectationOfficial event website textSponsor count is unusually high and indicates a major commercial ecosystem
Speaker count350+ speakersConfirmed organizer-published expectationOfficial event website textSupports strong content and networking depth
Historical attendance, prior edition context2,500+ attendees in prior U.S. / Europe event descriptionsHistorical / prior-year evidenceOfficial event website textUseful as historical context; not a current-year confirmation for Las Vegas 2027
Attendance figure certaintyAttendance figure not publicly confirmed by the organizer.Not independently verified beyond organizer-published expectationOfficial website onlyUse for planning and lead scoring, not as audited proof
7. Key Focus Areas and Buyer Engagement
Focus Area Typical Buyer Need Buyer Engagement Opportunity Relevant Supplier Offering
AI strategyRoadmap, governance, business case, prioritizationExecutive meetings, thought leadership, roundtablesConsulting, advisory, strategy workshops
Enterprise softwarePlatform selection, integration, ROIDemo meetings and solution discoverySaaS, AI copilots, automation tools
Data and analyticsData readiness, quality, governance, model inputsMeetings with CDOs, data leaders, and architectsData platforms, BI, MDM, governance
Cloud / infrastructureScalable compute, storage, deploymentTechnical buyer meetingsCloud, GPU, hosting, MLOps infrastructure
Governance, risk, and complianceSafe AI deployment, controls, auditabilityProcurement and risk stakeholdersGRC tools, policy, oversight solutions
Workflow automationEfficiency gains, labor optimization, case managementOperations-led meetings and ROI labsAutomation software, process mining, orchestration
Partnerships / ecosystemAlliances, channel, integration, co-sellingMeetings with partnerships and BD teamsPartner programs, APIs, SI channels
Talent and enablementUpskilling, adoption, change managementWorkshops and educational sessionsTraining, coaching, adoption services
Lead Quality Assessment
Factor Assessment Explanation
Buyer relevanceVery HighThe conference is explicitly built for business leaders evaluating AI adoption and enterprise execution.
Decision-maker availabilityHighOrganizer states 60% VP and above, indicating strong seniority density.
Data collection potentialHighLarge sponsor and speaker footprint supports list building, outreach segmentation, and account mapping.
Apollo targeting potentialVery HighStrong fit across AI, software, consulting, data, cloud, and enterprise buyer titles.
Geographic targeting potentialHighUseful for West Coast, national U.S., and global enterprise targeting.
Best outreach approachVery HighExecutive-led ABM, sponsored content, curated meeting requests, and pre-event appointment setting.
Overall lead qualityVery HighA strong event for premium B2B lead generation in enterprise AI and adjacent technology markets.
Best use caseVery HighTargeted account outreach, sponsor sales, attendee list enrichment, and enterprise pipeline generation.
Limitations / risksMediumNo current-year attendee list in the provided source text; some values are organizer-published expectations rather than independently audited counts.
Apollo.io Targeting Recommendation
Filter Type Recommended Filters Purpose
Apollo industriesInformation Technology & Services, Computer Software, Management Consulting, Financial Services, Banking, Retail, Hospital & Health Care, Pharmaceuticals, Computer & Network Security, Internet, Government AdministrationAlign the search with enterprise AI buyers and ecosystem influencers
DepartmentsIT, Engineering, Data, Digital Transformation, Innovation, Procurement, Operations, Strategy, PartnershipsCapture both economic buyers and technical evaluators
SeniorityDirector, VP, C-level, Head, PartnerMatch the reported seniority profile of the event audience
Job titlesCIO, CTO, Chief AI Officer, VP AI, VP Data, Director of AI, Head of Data Science, Procurement Director, Strategic Sourcing Manager, Innovation Director, Partnerships Director, Enterprise ArchitectTarget the most relevant buying and influence roles
GeographyUnited States, West Coast, Nevada, California, New York, Texas; optionally Canada, UK, Netherlands, GermanyFocus on host market plus major enterprise AI hubs
Employee size201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+Prioritize enterprise accounts with budget and AI adoption capability
KeywordsAI, generative AI, machine learning, automation, digital transformation, data governance, MLOps, enterprise architecture, procurement, innovationIdentify in-market buyers and event-relevant roles
Company typeEnterprise, high-growth tech, consultancy, public sector, regulated industryMatch the executive and enterprise focus of the event
Revenue range$100M+, with emphasis on $500M+ and enterprise-scale organizationsPrioritize firms with larger AI budgets and multi-team buying centers

Suggested Apollo Search Logic: (AI OR "generative AI" OR ML OR "machine learning" OR automation OR "digital transformation") AND (CIO OR CTO OR "Chief AI Officer" OR "VP Data" OR "Director of AI" OR "Procurement Director" OR "Innovation Director" OR Partnerships) AND (enterprise OR software OR financial services OR healthcare OR retail OR government). Use host-market and national enterprise filters to prioritize buyers most likely to attend or buy from HumanX-associated sponsors.

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
HumanX official website Official organizer source Event identity, event series positioning, Las Vegas 2027 dates, Mandalay Bay venue, audience scale, sponsor/speaker expectations, and global positioning Very High
Provided official website content excerpt Primary source extract Confirmed the published 9,500+ attendee expectation, 350+ speakers, 700+ sponsors, 60% VP or above, and 2-continent series structure Very High
Mandalay Bay official venue website Venue reference source Venue identity and location context for Las Vegas conventions High
HumanX website sections for Attend / Speakers / Partners Official event navigation / program source Event structure, audience intent, matchmaking emphasis, and commercial participation model 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 HumanX - The #1 AI Conference for Business Leaders — 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
Chat with us
We usually reply quickly