PAWorld26 NYC

Workforce Intelligence for Better Business Decisions

4–5 November 2026
Hotel Indigo Williamsburg - Brooklyn, New York City

Move from AI access to work redesign

Objectives

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.
PartnersSee all →
One Model
Draup
Insight222
Paradigm
ChartHop
Insightful
LYTIQS
Orgvue
PeopleScape.AI
Revelio Labs
Vemo
Welliba
Visier
Workforce intelligence

What workforce intelligence means here

People Analytics World New York brings together senior HR, People Analytics, Workforce Planning, HR Tech, Talent, Finance, Legal, Risk and business leaders to examine how people data and workforce AI are changing business decisions. This edition is built for the East Coast enterprise environment: regulated, finance-conscious, high-scrutiny and under pressure to prove value. The focus is not generic AI adoption. It is how organizations move from AI access to governed work redesign, measurable workforce value, practical skills strategy and trusted people decisions. Across two curated tracks and peer-to-peer Decision Rooms, PAWorld New York will explore what leaders should fund, stop, redesign, govern, scale or measure differently as workforce intelligence becomes a business decision system.

  • 01

    Move from AI access to work redesign

  • 02

    Build workforce AI you can govern

  • 03

    Make better workforce strategy decisions

Program Structure

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.

01Track

Plenary

02Track

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.

03Track

Workforce Strategy

Plan capability under uncertainty

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.

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.

Who attends

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.

Venue & hotel

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.

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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.

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Tell us a little about you and what you want to get out of PAWorld26 NYC.

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FAQ

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.

PAWorld26 NYC · 4–5 November 2026

Workforce Intelligence for Better Business Decisions

Move from AI access to work redesign