
Workforce Intelligence for Better Business Decisions
Move from AI access to work redesign
Using people data to drive strategy
and enable better decisions
A two-day conference for leaders and senior practitioners,
showcasing applied workforce intelligence in the real world:
Separate access from value
Explore how leaders move beyond pilots, adoption rates and theoretical time saved. The focus is how workforce evidence helps teams decide which AI and analytics use cases to fund, scale, redesign or stop, and how to connect those choices to productivity, capacity, quality, cost, risk or growth.
Confirmed speakers
Joining the program as presenters, panelists, or workshop leaders.
Updates posted regularly, so sign up and stay informed.


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Two curated tracks and one peer-to-peer decision forum
Practitioner-led tracks for the open programme, plus a curated Decision Room format for harder cross-functional questions.
Work Design
From access to business value
For leaders moving from AI tools and pilots to redesigned work, measured value and governed people decisions. This track examines workflow change, productivity, bankable capacity, workforce AI controls, manager enablement, people-data foundations and the evidence Finance will accept.
Workforce Planning & Skills
Plan capacity and make better decisions about skills, hiring and deployment.
For leaders deciding what workforce the business needs next. This track explores strategic workforce planning, skills intelligence, internal mobility, entry-level pathways, pay transparency, talent geography and capacity decisions in a cautious, AI-disrupted East Coast market.
Tech Stage
Showcasing under-the-radar technology that is already changing how work gets done.
Find new ways to understand skills, talent, and the hybrid workforce, how to deploy AI-enabled workforce planning, and generate decision-grade insight that puts workforce intelligence directly into boardroom conversations.
The conversations shaping this conference
AI value, productivity and work redesign
Move beyond AI access, pilots and adoption statistics. This topic examines how people data, AI and workforce intelligence help leaders redesign tasks, roles, workflows and decision rights, then prove what changed in productivity, quality, capacity, cost, risk or client value.
Workforce planning and workforce economics
Use workforce intelligence to make better choices about capacity, cost, skills, location and timing. Sessions will explore how HR, People Analytics, Finance and business leaders plan under AI uncertainty, cautious hiring, changing demand and pressure to prove workforce value.
Skills intelligence, mobility and career pathways
Turn skills data into decisions about hiring, learning, mobility, redeployment and succession. This topic focuses on what makes skills intelligence decision-grade, how job architecture needs to adapt, and how organizations can protect capability pipelines as AI reshapes entry-level work.
Regulated workforce AI and governance
Explore how employers govern AI and automated decision tools in hiring, promotion, learning, mobility, performance and work allocation. The focus is practical: bias audits, vendor oversight, human review, documentation, employee communication and ownership across HR, Legal, Risk, Privacy and Technology.
East Coast sectors and talent geography
New York's workforce questions are shaped by financial services, professional services, media, regulated enterprise, AI talent and New Jersey life sciences. Sessions will examine how sector context changes workforce planning, skills strategy, office decisions, talent location and risk.
People data to business outcomes
Connect workforce intelligence to the outcomes leaders care about: productivity, client service, operating performance, risk, cost, quality and growth. This topic looks beyond HR metrics to show how people data can influence business decisions, customer outcomes and enterprise performance.
Built for people who make decisions,
drive change, and shape outcomes
CHROs, CPOs, HR VPs and HR Directors
Senior people leaders
For leaders who need a defensible view of how workforce AI, people data and skills strategy affect business performance, culture, trust, cost and risk. The event is designed to support decisions that stand up with the CEO, CFO, board and business leaders.
Heads of People Analytics and Workforce Analytics
Decision-grade insight leaders
For analytics leaders under pressure to move beyond dashboards and prove decision impact. Sessions will focus on business problems, evidence standards, cross-functional influence, governance, data confidence and how workforce intelligence changes what leaders fund, redesign, govern or measure.
Strategic Workforce Planning and Talent Intelligence leaders
Capacity and scenario owners
For leaders shaping decisions about future roles, skills, locations, cost, capacity and talent supply. The program will examine workforce planning under AI uncertainty, selective hiring, external labor signals, redeployment and the build, buy, borrow, redesign or automate decision.
HR Tech, HRIS and People Data leaders
Data and systems builders
For leaders responsible for the systems, integrations, data foundations and controls that workforce intelligence depends on. Sessions will address AI-enabled workflows, data quality, governance, vendor oversight, HR technology adoption and how to make workforce data credible enough to act on.
Skills, Learning, Mobility and Talent leaders
Capability and movement leaders
For leaders responsible for skills strategy, learning investment, internal mobility, job architecture, talent acquisition and career pathways. The event will focus on how capability data supports decisions about hiring, reskilling, redeployment, succession, pay transparency and entry-level pathway redesign.
Business, Operations, Finance, Privacy and Product partners
Cross-functional decision partners
For partners who co-own the value, risk and execution of workforce decisions. The program will be useful for Finance, Operations, Product, Privacy, Legal, Risk and Technology leaders working with HR to connect people data and AI to performance, controls and business outcomes.
A first look at the programme
Welcome to PAWorld New York 2026
Turning people data and AI into business performance

People Analytics in the Age of AI
From better evidence to better business and workforce decisions

Some Friction Was the Work
When Output Gets Cheap, Signal Gets Expensive

Hotel Indigo Williamsburg - Brooklyn
Join us at Hotel Indigo Williamsburg - Brooklyn, New York City, the conference hotel and venue for PAWorld26 NYC. Delegates and speakers can use the dedicated hotel booking link when arranging their stay.
Register interest in PAWorld26 NYC
Tell us a little about you and what you want to get out of the programme. We respond personally as the agenda, speakers and pricing land.
Common questions
The event is built for senior HR, People Analytics, Workforce Planning, Talent Intelligence, HR Tech, People Data, Skills, Learning, Mobility and Talent leaders. It will also be relevant for business partners in Finance, Operations, Product, Legal, Privacy, Risk and Technology who work with HR on workforce AI, productivity, governance, capacity or business performance decisions.
Workforce Intelligence for Better Business Decisions
Move from AI access to work redesign



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