When market noise is high, enterprise signals matter more.
People analytics is firmly on the boardroom agenda. AI capabilities are expanding fast. Dashboards look more advanced than ever.
And yet, many organizations still struggle to use workforce data in ways that consistently influence business decisions. Behind the noise, enterprises are sending quieter, more revealing signals – about where analytics is helping, where it’s falling short, and how expectations around AI are shifting.
This live panel discussion brings together experts from Everest Group, SplashBI, and Graphic Packaging International to examine those signals and what they mean for the future of people analytics in enterprise decision-making.
What you’ll hear in this session
In this discussion, the panel will discuss:
- Why AI adoption in people analytics remains slower and more uneven than expected
- Growing demand for cross-domain insights, driven by fatigue with analytics that lack business context
- Ongoing challenges in unifying workforce data spread across systems, spreadsheets, and teams
- Why building a reliable data foundation and single source of truth remains difficult for many enterprises
- Shifting confidence in self-service analytics, with momentum moving from “build” toward “buy”
- How enterprises are approaching AI as an enabler of intelligence, not a replacement for decision-making
What makes this session different
This session offers clarity that’s hard to get from vendor messaging alone. You’ll hear:- Analyst Insights: What Everest analysts are seeing across enterprise research and evaluation cycles
- Vendor experience: How these signals show up during implementation, adoption, and scale
- Enterprise reality: From a practitioner navigating these challenges firsthand – what resonates, what breaks down, and what changes priorities
Bonus: All registrants receive exclusive access to the Everest Group thought paper “People Analytics in the Age of AI.”
* This research paper will be shared only with webinar registrants.
Who should attend
This session is designed for leaders who operate at the intersection of people, data, strategy, and AI. If you’re evaluating platforms, shaping analytics strategy, or being asked to “do more with analytics” or “add AI,” this discussion will help you make those decisions with far more context.
- People analytics, workforce intelligence, and talent strategy leaders
- Enterprise analytics, data, and AI stakeholders
- Operations, Finance, and IT leaders involved in analytics decisions
- Anyone accountable for connecting people insights to business outcomes
Speakers
Why this is worth your time
You’ll walk away with:- A sharper understanding of current enterprise sentiment around people analytics and AI
- Greater clarity on where expectations are misaligned with execution
- Insight into what’s gaining traction, what’s stalling, and why
- Stronger guidance for prioritizing data foundations, analytics platforms, and AI initiatives
