| Applied Gen-AI – From Hackathon to Enterprise Scale Comparative playbooks from Citi, Microsoft and Seagate with ROI, guard-rails and scale. Three leaders from Citi, Microsoft and Seagate compare how they scaled Gen-AI beyond pilots. Expect concrete ROI measures, governance checklists, and adoption plays – from CitAI prompt libraries to Copilot telemetry and data-mesh upgrades. Leave with a blueprint to move from experiments to enterprise value. | Skills‑Based Organisations – From Vision to Operational Reality Three operating models, candid ROI, and governance lessons MD, Global Head of People Analytics & Insights · Citi Sr. Director, Global Head of People Analytics · PepsiCo VP Workforce Intelligence · RTX Aerospace, CPG and telecom leaders reveal how they turned skills theory into measurable value. Compare graph, data‑mesh and federated models; hear hard numbers on fill‑rate, contractor spend and pay impact; and ask your biggest road‑blocks in a lively moderated panel. |
 | Amazon's Hyperscale Hiring: 90 % Cost Cut – 3× Funnel Precision Data‑driven models turn hiring into a P&L lever while aligning Finance and Legal Global Head of Talent Acquisition Science and Analytics · Amazon Explore how Amazon slashed paid recruitment marketing by 90 %, tripled funnel precision and hit 95 % demand‑forecast accuracy by fusing ATS clickstream, external labour signals and rigorous governance – revealing an actionable playbook for transforming hiring spend into measurable commercial value. |
 | Scenario-Based Workforce Planning at Scale: The Truist Playbook Releasing $18 m, cutting people risk and funding growth via six-week planning sprints SVP, Strategic Workforce Planning · Truist How Truist released $18 m, cut regulator-flagged people risk and accelerated budget sign-off by four weeks. Jennifer Cline shares the data foundations, six-week sprint and AI roadmap that let HR speak the CFO’s language and turn workforce scenarios into capital-plan decisions. |
 | From 0 to Big-P Productivity – Workforce Planning at S&P Global How a two-person team linked workforce to revenue, margin and cost in 90 days VP, Global Head of Organizational Planning and Analytics · S&P Global Discover how a lean two-person team used a three-horizon framework, deputy model and AI-driven org-design to deliver $42m OPEX savings and faster revenue growth. Learn practical steps to embed 'Big-P' productivity metrics and scale workforce planning without a 15-analyst centre. |
 | HR as Business Facilitator – People Analytics Driving the P&L Productivity‑based staffing models that lift revenue and margin in luxury retail VP HR, Americas & South Africa · Dolce & Gabbana Discover how Dolce & Gabbana and Moncler tied revenue, margin and staffing decisions together through a simple productivity metric set – and how any HR team can replicate the model to become a direct contributor to the P&L. |
 | Shift Not Slash – AI‑Driven Productivity & ROI at Seagate People & Places leads an enterprise‑wide Copilot roll‑out that redeploys talent, not cuts SVP, Chief People and Places Officer · Seagate Technology Discover how Seagate's People & Places team led an enterprise‑wide Copilot deployment that reallocates time, lifts productivity and pays for itself inside 14 months. Walk away with a proven adoption playbook, CFO‑tested KPIs and governance tips to scale AI responsibly without slashing head‑count. |
 | People Analytics: First Stop on the HR–AI Highway How PA leaders seed, scale and govern AI for measurable business impact. AVP, Workforce Analytics · Merck & Co Why HR–AI starts in People Analytics, and how to scale it safely. Get the architecture, governance and partnership pattern, a pilot-to-platform playbook, and a CFO-ready impact model. Practical guidance on Works Councils, privacy and ethics. |
 | Linking Workforce Analytics with Linking Workforce Analytics with Profit and l to Drive Productivity HR Director, People Analytics · Corning Incorporated |
 | GenAI‑Driven Talent‑Risk Intelligence at Nasdaq Protecting high‑impact roles through critical‑talent segmentation and privacy‑first analytics Director, People Analytics and Insights · Nasdaq Learn how Nasdaq's People Analytics team built a privacy‑first GenAI risk report that pinpoints critical‑talent attrition, slashes regretted losses by $630 k, and delivers action‑ready insights to leaders within 24 hours. |
 | Building a Workforce Twin – Synthetic Personas to De-Risk Change Reusable architecture and privacy guard-rails for safe pre-testing of policy change Senior Manager, People Data Science Team, People Analytics · HubSpot See how HubSpot's People Analytics team built a privacy-safe 'Workforce Twin' that simulates employee reactions, letting leaders trial policy changes, predict risk and accelerate sign-off. Get the architecture, performance benchmarks and guard-rails you need to adapt the approach in your own organisation. |
 | Building a Governed People-Data Mesh HR & Finance Actually Trust Driving adoption, governance and cross‑functional collaboration at scale Director, People Analytics & Data Solutions · T. Rowe Price How T. Rowe Price replaced siloed HR exports with a governed Snowflake people‑data mesh trusted by Finance. See the architecture, governance controls and adoption tactics that raised self‑service analytics by 4× and cut reconciliation effort almost in half. |
 | Inside Paramount's AI-Assisted Contingent Workforce Engine A workforce copilot that routes requests, enforces policy and proves ROI Tanmay Manohar Vice President, People Analytics & Workforce Planning · Paramount Paramount reframed People Analytics as Workforce Solutions and built a workforce copilot that routes contingent requests, enforces policy and captures the audit trail. See the architecture, governance model, finance view and a five‑step playbook to scale internationally without breaking compliance or your HCM roadmap. |