2027 TRACKS
Programming built around your decision, not a topic.
Six tracks. Each one follows how you actually work — by function, by stack layer, by stage of adoption — with the challenges you're solving and what you'll walk away with, spelled out up front.
Six Tracks, One Mandate
01
BUILDERS
02
CORPORATE AI
03
ECOSYSTEM
01
BUILDERS
How is AI built, scaled, and powered?
Everyone’s bolting a chatbot onto their product and calling it AI-native. This isn’t that. Builders follows the whole stack, from the teams who rebuilt their products around AI from the studs up, to the infrastructure that keeps it standing at a million users, to the chips, models, and energy math underneath. What they shipped, what broke, and what they’d never do again.
JOB FUNCTIONS SERVED
Chief Executive Officer (CEO)
Founder / Co-Founder
Chief Technology Officer (CTO)
Chief Product Officer (CPO)
Chief AI Officer (CAIO)
Vice President of AI
Head of AI
Head of Machine Learning (ML)
Head of Platform
Vice President of Engineering
Key Challenges We'll Help You Solve
Deciding what to build vs. buy at every layer of the stack: RAG, agents, evals, observability
Getting agentic systems to hold up reliably in production, not just in the demo
Consolidating a stack that’s quietly grown to 8–15 AI tools while the CFO asks for the number to come down
Compute access and costs that scale unpredictably, and can decide what you’re able to ship
Keeping architecture decisions current as the model frontier resets every few months, not every few years
What You Will Walk Away With
Real architectures from teams shipping AI-native products at scale, not vendor pitches
A vendor decision made, not just researched. Most attendees arrive with an evaluation already in flight
Direct access to the engineers, researchers, and hardware leaders building the models and silicon your product runs on
A direct line on where frontier model, chip, and compute roadmaps are headed over the next 12–18 months
A pipeline into the most concentrated AI engineering talent pool on the calendar, with enterprise buyers evaluating what you’re building in the same room
02
CORPORATE AI
How is AI operationalized inside large organizations?
Every company has an AI strategy slide. Fewer have AI actually running in production. This track is for the ones who do: the governance fights, the budget battles, and what it actually took to get AI past a pilot and into the hands of people who use it. No roadmaps. No “someday.”
JOB FUNCTIONS SERVED
Chief AI Officer (CAIO)
Chief Data & AI Officer
Chief Information Officer (CIO)
Chief Data Officer (CDO)
Vice President of AI
Head of Enterprise AI
Head of AI Risk
Head of Digital Transformation
Key Challenges We'll Help You Solve
Proving AI ROI to a board that wants the productivity number now
Consolidating a vendor list that's grown to 8–25 AI tools under CFO pressure
Governance and compliance across a shifting regulatory landscape — the EU AI Act, model risk management, and more
Standing up or scaling the AI function — who to hire, how to structure it, build vs. partner
Getting AI past the pilot and into daily use across the workforce, not just the team that built it
What You Will Walk Away With
A defensible ROI framework and board-ready benchmarks, not another analyst deck
Peer conversations with CAIOs and CIOs running comparable programs — not just the JPMorgan-scale outliers
Vendor and implementation partnerships sourced from active evaluations, not cold outreach
A credible governance and security framework you can bring back to the board
Direct access to the frontier labs whose models you're deploying and the security teams defending against what's next
03
ECOSYSTEM
How are investors, startups, and founders shaping the market?
Half the founders here will be the acquirers in eighteen months, and half the investors already know it. This track is the room where that math gets worked out in real time — founders, funders, and the deals that start over coffee, not through a warm intro.
JOB FUNCTIONS SERVED
Founder
Co-founder
Chief Executive Officer (CEO)
Investor
General Partner
Managing Partner
Partner
Principal
Investment Director
Corporate Venture Lead
Key Challenges We'll Help You Solve
Finding real signal in a deal flow that's noisier than ever (investors)
Raising at a moment when capital is expensive and the best investors are oversubscribed (founders)
Competing with frontier labs for AI engineering talent at every stage
Hitting product-market fit at the speed the agentic era now demands
Building a portfolio in a category where half the market didn't exist eighteen months ago (investors)
What You Will Walk Away With
30 to 50 founder conversations in three days, or 10 to 20 investor conversations if you're raising
Talent recruited from the most concentrated AI talent pool on the calendar
Peer relationships with other founders navigating the same stage
Enterprise customers and pilot partners sourced directly, not through a cold pipeline
A clearer read on where capital and conviction are actually flowing right now
04
SECURITY
How do you secure AI at scale while defending against AI-powered threats?
Attackers got new tools. Your company got new models, agents, and AI apps, and it’s deploying them faster than your team can review them. Security gets asked to say yes to everything and stay accountable for all of it. This track is for the CISOs and security leaders protecting the business without becoming the department of no. Real playbooks from people already living it, not a framework that only looks good on a slide.
JOB FUNCTIONS SERVED
Chief Information Security Officer (CISO)
Chief Security Officer (CSO)
Chief Information Officer (CIO)
Chief Technology Officer (CTO)
VP of Security
Head of Cybersecurity
Head of AI Security
Head of Security Engineering
Head of Threat Intelligence
Head of Governance, Risk & Compliance
Key Challenges We'll Help You Solve
Securing AI agents, models, and apps the moment they hit production
Defending against AI-powered attacks: automated phishing, deepfakes, and whatever shows up next quarter
Stopping data leakage, prompt injection, and unauthorized access across AI systems that keep multiplying
Moving at the speed of AI adoption without losing governance or the regulators
Figuring out which AI security tools actually work before you spend the budget
What You Will Walk Away With
Playbooks from CISOs already running AI across large organizations
A straight read on emerging AI threats and how the best security teams are responding
Real-world approaches to securing agents, models, and enterprise data
Direct access to the security leaders and companies building the next generation of AI-powered defense
A clear view of where AI can strengthen security operations, cut costs, and sharpen threat detection
05
SALES
What's next for revenue in an AI-first world?
Agents are already doing a chunk of your SDRs' job, whether that's in your plan or not. This track is for the CROs figuring out what that means for headcount, forecasting, and the number they're on the hook for — not the vendor pitch about it.
JOB FUNCTIONS SERVED
Chief Revenue Officer (CRO)
Head of Revenue
Head of RevOps
Head of Sales
Head of GTM
Vice President of Revenue Operations
Vice President of Sales Operations
Vice President of Sales
Director of RevOps
Key Challenges We'll Help You Solve
Making the call on agentic SDR platforms — the tradeoffs on quality, deliverability, and brand risk are real
Consolidating a CRM and sales stack that's grown under AI pressure
Keeping forecasting accurate as agents take on more of the pipeline
Proving AI ROI for revenue, specifically
Redesigning team structure as agents take on the majority of SDR work
What You Will Walk Away With
A read on what's actually working in production at peer companies, not vendor claims
Two to three vendor decisions moved forward, not just researched
A benchmark for how peer orgs are restructuring their revenue teams
A peer network in a function still too young to have one — RevOps leaders talking to RevOps leaders
A clear-eyed view of where agentic tools are already reliable, and where they still aren't
06
MARKETING
What's next for marketing in an AI-first world?
AI can produce more content than any team ever could. It still can't tell you if any of it is good. This track is for the CMOs figuring out what's actually worth automating — and what's worth protecting, because it's the reason anyone remembers your brand at all.
JOB FUNCTIONS SERVED
Chief Marketing Officer (CMO)
Chief Brand Officer
Head of Performance Marketing
Head of Content
Head of SEO
Head of Growth
Head of MarOps
Vice President of Marketing
Vice President of Marketing Operations
Key Challenges We'll Help You Solve
Producing content at scale without losing quality or brand voice
Generative search rewriting how buyers find vendors — GEO is now a board-level question
Attribution that's harder to trust as AI reshapes the demand funnel
Keeping marketing and sales aligned as agents blur the handoff between them
Brand risk that comes with AI-generated content at scale
What You Will Walk Away With
Real campaign results from peers who've deployed AI in market, with actual metrics
A working read on the AI marketing platform layer — what's worth evaluating and what isn't
A framework for AI search and GEO and what it means for your demand gen strategy
Peer relationships with CMOs building brand at the same stage you are
A validated approach to brand voice at scale from marketers who've already done it
Your peers are preparing. The clock is ticking
Register for HumanX by December 14 to save $1,000.
JUMP TO
BUILDERS
CORPORATE AI
ECOSYSTEM
SECURITY
SALES
MARKETING