
HumanX - The #1 AI Conference for Business Leaders
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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, 2026 — RAI Amsterdam, Netherlands (Amsterdam, NL)
Stated figures: 2,500+ attendees, 200+ speakers, 150+ sponsors. -
HumanX US: March 7–10, 2027 — Mandalay 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)
- Microsoft (microsoft.com)
- Amazon Web Services (aws.amazon.com)
- Google Cloud (cloud.google.com)
- Salesforce (salesforce.com)
- 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
| 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. |
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.
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Enterprise AI leadership | Large enterprises, digital-native firms, technology-forward brands | Owns AI strategy, roadmap, and budget priorities | Primary audience for AI platforms, advisory, data, governance, and infrastructure vendors |
| CIO / CTO / CDO teams | Enterprise IT, data, and architecture organizations | Technical evaluation, vendor selection, implementation approval | High-value contacts for software, cloud, cybersecurity, and systems integration suppliers |
| AI / innovation leaders | Innovation labs, digital transformation groups, applied AI teams | Pilot ownership, proof-of-concept evaluation, internal championing | Strong fit for startups, AI platforms, workflow automation, and model orchestration vendors |
| Procurement and sourcing teams | Enterprise procurement, strategic sourcing, vendor management | Commercial review, contract negotiation, supplier approval | Relevant for AI procurement, governance, managed services, and enterprise software vendors |
| Operations and transformation leaders | Business operations, shared services, process excellence teams | Operational sponsor for AI deployment and process redesign | Useful for automation, analytics, and workflow optimization suppliers |
| Product and platform leaders | SaaS companies, digital product organizations, platforms | Feature prioritization, AI product integration, build-vs-buy decisions | Strong for API, data, MLOps, and product-led AI companies |
| Investors and venture teams | VCs, CVCs, growth investors, accelerator networks | Capital allocation, partner identification, ecosystem mapping | Relevant for startups, AI infrastructure vendors, and partnership sellers |
| Consultants and advisors | Strategy firms, boutique AI consultancies, systems integrators | Influence buyer selection, implementation, and ecosystem recommendations | Useful channel partners and referral sources for technology suppliers |
| Media and analysts | Industry media, market intelligence, analyst firms | Visibility, validation, and market education | Supports thought leadership, launches, and category building |
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Las Vegas host market | Local executives, vendors, hospitality and venue ecosystem | Medium | Useful for onsite meetings, sponsor logistics, and local enterprise networking |
| West Coast business hubs | San Francisco Bay Area, Los Angeles, San Diego, Seattle | High | Strong concentration of AI, cloud, software, and venture-backed buyers |
| U.S. national reach | Enterprise buyers from finance, retail, healthcare, manufacturing, public sector, and tech | Very High | The event is explicitly positioned for enterprise AI leaders nationwide |
| International reach | Europe, Canada, APAC, global enterprise and vendor ecosystems | High | Official site states global attendance and a two-continent series |
| AI ecosystem corridors | Bay Area, Austin, New York, Boston, Toronto, London, Amsterdam | High | Particularly relevant for sponsors, partners, and enterprise vendor targeting |
| 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. |
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Microsoft | Enterprise technology buyer / platform operator | Large AI, cloud, and enterprise software footprint; strong fit for AI ecosystem partnerships | microsoft.com | VP AI, Director of Partnerships, Azure leaders, product managers | Strong Market Fit, Attendance Not Confirmed |
| Technology buyer / AI platform provider | AI infrastructure and applied AI buyers are highly aligned with the conference audience | google.com | AI product leaders, cloud GTM, partnerships, enterprise sales | Strong Market Fit, Attendance Not Confirmed | |
| Amazon Web Services | Cloud / AI infrastructure buyer | Enterprise AI deployment and infrastructure decision-makers are highly relevant | aws.amazon.com | AI/ML leaders, solutions architects, partner development managers | Strong Market Fit, Attendance Not Confirmed |
| IBM | Enterprise technology buyer / consultant | AI strategy, hybrid cloud, and enterprise modernization buying centers | ibm.com | VP AI, consulting partners, enterprise architects | Strong Market Fit, Attendance Not Confirmed |
| Salesforce | Enterprise software buyer / platform operator | Generative AI, CRM automation, and customer workflow transformation are core themes | salesforce.com | Product, AI, customer success, partnerships | Strong Market Fit, Attendance Not Confirmed |
| Accenture | Consulting / systems integration buyer | Major influencer for enterprise AI adoption, implementation, and partnership sourcing | accenture.com | Managing directors, AI transformation leads, alliance leaders | Strong Market Fit, Attendance Not Confirmed |
| Deloitte | Consulting / advisory buyer | Enterprise AI advisory and delivery teams are high-probability attendees | deloitte.com | Partners, principals, AI strategy directors | Strong Market Fit, Attendance Not Confirmed |
| Walmart | Retail buyer / enterprise operator | Retail AI use cases include demand forecasting, supply chain, and customer experience | walmart.com | Digital, analytics, procurement, merchandising, operations | Strong Market Fit, Attendance Not Confirmed |
| JPMorgan Chase | Financial services buyer | AI governance, risk, fraud, and automation are major enterprise buying areas | jpmorganchase.com | Chief data officer, AI governance, procurement, innovation | Strong Market Fit, Attendance Not Confirmed |
| UnitedHealth Group | Healthcare buyer / operator | Large-scale automation, analytics, and workflow AI opportunities | uhg.com | Digital transformation, analytics, procurement, innovation | Strong Market Fit, Attendance Not Confirmed |
| Pfizer | Pharma buyer / R&D operator | AI for research, compliance, operations, and knowledge management is highly relevant | pfizer.com | R&D data, digital, procurement, IT leadership | Strong Market Fit, Attendance Not Confirmed |
| United States Federal Government | Government buyer | Public-sector AI adoption, procurement, compliance, and modernization are key themes | usa.gov | Contracting officers, program managers, CIOs, acquisition leads | Strong Market Fit, Attendance Not Confirmed |
| NVIDIA | AI infrastructure buyer / ecosystem leader | Hardware, compute, and AI platform relevance to enterprise AI deployments | nvidia.com | Enterprise GTM, partnerships, product marketing, solution engineering | Strong Market Fit, Attendance Not Confirmed |
| ServiceNow | Workflow automation / enterprise software buyer | AI-driven operations, service management, and enterprise workflow automation | servicenow.com | AI product, procurement, partnerships, enterprise sales | Strong Market Fit, Attendance Not Confirmed |
| Shopify | Digital commerce buyer | Retail, commerce automation, and merchant enablement are relevant AI use cases | shopify.com | Product, partnerships, merchant solutions, data science | Strong Market Fit, Attendance Not Confirmed |
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Chief AI Officer / Chief Digital Officer / CIO / CTO | Executive / IT / Digital | C-level | Own AI strategy, enterprise technology direction, and major budget decisions |
| 2 | VP AI / VP Data / VP Digital Transformation | AI / Data / Transformation | VP | Leads enterprise adoption and vendor evaluations for AI programs |
| 3 | Director of AI / Head of AI / AI Program Director | Innovation / AI | Director | Translates executive strategy into implementations and pilots |
| 4 | Director of Procurement / Strategic Sourcing Manager | Procurement / Sourcing | Director / Manager | Evaluates vendors, contracts, and commercial terms for AI solutions |
| 5 | Enterprise Architect / Solutions Architect | Architecture / IT | Director / Manager / Senior IC | Determines technical fit, integration approach, and scalability |
| 6 | Head of Data Science / ML Engineering Lead | Data / Engineering | Head / Director | Evaluates model tooling, data pipelines, and AI operationalization |
| 7 | Operations Director / Business Process Excellence Lead | Operations | Director / VP | Owns automation, productivity, and workflow redesign use cases |
| 8 | Innovation Director / Strategy Director | Corporate Strategy / Innovation | Director / VP | Scans the market and sponsors new technology adoption |
| 9 | Partnerships Director / Alliances Manager | Business Development / Partnerships | Director / Manager | Critical for channel, integration, and ecosystem deals |
| 10 | Program Manager / PMO Lead | Program Management | Manager / Director | Coordinates pilots, implementation timelines, and stakeholder engagement |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Core sector for AI platforms, systems integration, and enterprise deployment | Platform, services, and co-sell targeting |
| 2 | Computer Software | High concentration of AI product builders and enterprise buyers | SaaS, AI apps, MLOps, workflow tools |
| 3 | Management Consulting | Strong advisor and influencer segment for enterprise AI adoption | Partnering and enterprise referral development |
| 4 | Financial Services | Major AI spenders on risk, fraud, automation, and customer intelligence | Compliance, analytics, and automation solutions |
| 5 | Banking | High enterprise governance and risk-buying intensity | AI governance, compliance, and fraud prevention |
| 6 | Retail | Large-scale AI demand in personalization, supply chain, and merchandising | Forecasting, customer service, and pricing tools |
| 7 | Hospital & Health Care | Operational efficiency, clinical workflow, and analytics use cases | Automation, data, and compliance solutions |
| 8 | Pharmaceuticals | AI for research, knowledge management, and regulated operations | Research acceleration and enterprise AI platforms |
| 9 | Computer & Network Security | AI adoption increases cybersecurity and governance demand | Security, identity, governance, and monitoring |
| 10 | Internet | Digital-native companies are early adopters and strong partners | Growth-stage AI and platform selling |
| 11 | Venture Capital & Private Equity | Investor ecosystem present around AI innovation and startup discovery | Fundraising, partnerships, and portfolio solutions |
| 12 | Government Administration | Public sector AI modernization and procurement interest | GovTech, compliance, and acquisition targeting |
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | 9,500+ attendees | Confirmed organizer-published expectation | Official event website text | Flagship Las Vegas edition only |
| Exhibitor / sponsor count | 700+ sponsors | Confirmed organizer-published expectation | Official event website text | Sponsor count is unusually high and indicates a major commercial ecosystem |
| Speaker count | 350+ speakers | Confirmed organizer-published expectation | Official event website text | Supports strong content and networking depth |
| Historical attendance, prior edition context | 2,500+ attendees in prior U.S. / Europe event descriptions | Historical / prior-year evidence | Official event website text | Useful as historical context; not a current-year confirmation for Las Vegas 2027 |
| Attendance figure certainty | Attendance figure not publicly confirmed by the organizer. | Not independently verified beyond organizer-published expectation | Official website only | Use for planning and lead scoring, not as audited proof |
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| AI strategy | Roadmap, governance, business case, prioritization | Executive meetings, thought leadership, roundtables | Consulting, advisory, strategy workshops |
| Enterprise software | Platform selection, integration, ROI | Demo meetings and solution discovery | SaaS, AI copilots, automation tools |
| Data and analytics | Data readiness, quality, governance, model inputs | Meetings with CDOs, data leaders, and architects | Data platforms, BI, MDM, governance |
| Cloud / infrastructure | Scalable compute, storage, deployment | Technical buyer meetings | Cloud, GPU, hosting, MLOps infrastructure |
| Governance, risk, and compliance | Safe AI deployment, controls, auditability | Procurement and risk stakeholders | GRC tools, policy, oversight solutions |
| Workflow automation | Efficiency gains, labor optimization, case management | Operations-led meetings and ROI labs | Automation software, process mining, orchestration |
| Partnerships / ecosystem | Alliances, channel, integration, co-selling | Meetings with partnerships and BD teams | Partner programs, APIs, SI channels |
| Talent and enablement | Upskilling, adoption, change management | Workshops and educational sessions | Training, coaching, adoption services |
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Very High | The conference is explicitly built for business leaders evaluating AI adoption and enterprise execution. |
| Decision-maker availability | High | Organizer states 60% VP and above, indicating strong seniority density. |
| Data collection potential | High | Large sponsor and speaker footprint supports list building, outreach segmentation, and account mapping. |
| Apollo targeting potential | Very High | Strong fit across AI, software, consulting, data, cloud, and enterprise buyer titles. |
| Geographic targeting potential | High | Useful for West Coast, national U.S., and global enterprise targeting. |
| Best outreach approach | Very High | Executive-led ABM, sponsored content, curated meeting requests, and pre-event appointment setting. |
| Overall lead quality | Very High | A strong event for premium B2B lead generation in enterprise AI and adjacent technology markets. |
| Best use case | Very High | Targeted account outreach, sponsor sales, attendee list enrichment, and enterprise pipeline generation. |
| Limitations / risks | Medium | No current-year attendee list in the provided source text; some values are organizer-published expectations rather than independently audited counts. |
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services, Computer Software, Management Consulting, Financial Services, Banking, Retail, Hospital & Health Care, Pharmaceuticals, Computer & Network Security, Internet, Government Administration | Align the search with enterprise AI buyers and ecosystem influencers |
| Departments | IT, Engineering, Data, Digital Transformation, Innovation, Procurement, Operations, Strategy, Partnerships | Capture both economic buyers and technical evaluators |
| Seniority | Director, VP, C-level, Head, Partner | Match the reported seniority profile of the event audience |
| Job titles | CIO, 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 Architect | Target the most relevant buying and influence roles |
| Geography | United States, West Coast, Nevada, California, New York, Texas; optionally Canada, UK, Netherlands, Germany | Focus on host market plus major enterprise AI hubs |
| Employee size | 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ | Prioritize enterprise accounts with budget and AI adoption capability |
| Keywords | AI, generative AI, machine learning, automation, digital transformation, data governance, MLOps, enterprise architecture, procurement, innovation | Identify in-market buyers and event-relevant roles |
| Company type | Enterprise, high-growth tech, consultancy, public sector, regulated industry | Match the executive and enterprise focus of the event |
| Revenue range | $100M+, with emphasis on $500M+ and enterprise-scale organizations | Prioritize 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.
| 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 |
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