- Talent intelligence turns data into action. It’s not about dashboards, but about connecting insights and context to drive smarter, faster people decisions.
- HR must shift from reactive to proactive. Moving from systems of record to systems of intelligence helps you anticipate skill gaps, workforce needs, and business risks.
- Storytelling builds influence. When you translate data into compelling narratives, you earn credibility with hiring managers and executives.
Gut instinct has its place in talent decisions — until you’re trying to scale, compete for talent across borders, or explain to your CFO why you need to double your recruiting budget.
That’s where talent intelligence comes in. And after a recent Talent Table conversation with Helen Castor, Director of Talent Intelligence at Softtek, and Erin Mathew, Senior Talent Intelligence Researcher at Centene Corp., I’m convinced we’re at an inflection point. The organizations that figure out how to move from reactive reporting to proactive intelligence won’t just make better decisions — they’ll make them faster, and with more confidence.
This wasn’t a conversation about dashboards or data for data’s sake. It was about timing, storytelling, and using AI to see around corners before your competition does.
Here are five major takeaways from our discussion.
Talent intelligence is about more than dashboards
When I asked Castor and Mathew to define talent intelligence, both were clear — it’s not just analytics or static reports.
“We want to be able to help our leaders make smarter, faster, more human-centered decisions about our talent,” Castor said. “It’s about connecting the dots between skills, capacity, and market insights.”
Mathew added that talent intelligence is really about context and storytelling. “It’s having the right information at the right time so you can influence the right decisions,” she said.
The takeaway: talent intelligence combines data with context and narrative, transforming raw numbers into insight that leaders can act on.
Helen Castor, Director of Talent Intelligence at Softtek, discusses how talent intelligence platforms provide a forward-thinking view into your data.
From reactive to proactive: Timing matters
Historically, HR data has been trapped in systems of record, backward-looking databases about who was hired and what they were paid. That isn’t enough in today’s market, where AI is accelerating change in every industry.
“Now is the moment to move from systems of record to systems of intelligence,” Castor said. “That’s what allows us to answer the strategic questions our leaders are asking: What are our skill gaps? How do we redeploy people faster? How do we build pathways that retain top talent?”
By looking ahead instead of back, you can anticipate needs and keep pace with business transformation.
Erin Mathew, Senior Talent Intelligence Researcher at Centene Corp., shares some of the challenges she’s seen as a result of overlooking talent intelligence in global hiring.
Human intelligence still matters in the age of AI
While AI has opened new doors, Mathew said that human intelligence remains essential. For example, she uses AI tools to quickly scan peer-reviewed reports and generate talent market overviews, but she always validates the findings herself.
“Human oversight is still desperately needed when using AI,” Mathew said. “Word of mouth is still a very powerful thing, even in the age of AI.”
Castor agreed, pointing out the importance of recognizing when AI produces hallucinations versus reliable insight. Together, they underscored that technology should enhance — not replace — human judgment.
Data storytelling builds influence at every level
Good data is only half the battle. Real impact comes when you can translate data into stories that resonate with hiring managers and executives alike.
Mathew once influenced leaders at PayPal by showing live Google Trends data. “Being able to show them impactful numbers right in front of their face is powerful,” she said.
Castor said that she built dashboards to anticipate client needs, which eventually grew into a full-fledged talent intelligence function at Softtek. “Once people started asking for it, the capability scaled across the organization,” she said.
When you shift from being an order taker to become a storyteller and strategist, your influence grows.
Small steps create momentum for big change
Castor and Mathew were clear that organizations don’t need to overhaul everything at once. Castor recommended starting with simple data points and always asking, “So what?”
“Every time we gather a data point, it has to connect to a story and an action,” she said.
Mathew said that you can learn a lot from existing internal data. Spotting retention risks or emerging trends within your workforce is often the best starting point.
When it comes to AI, we agreed that it takes courage: moving past fear, thoughtfully experimenting, and building transparency and trust with employees.
The bottom line
Every day that we wait, AI and talent intelligence advances. As I reminded our audience, AI is the slowest it’s ever been today, and it will never be this slow again. Leaders who experiment now — asking better questions, connecting the dots, and focusing on outcomes — will be the ones shaping the future of work.
The September Talent Table reminded me that talent intelligence isn’t about chasing shiny tools. It’s about using data, context, and storytelling to make better decisions that unlock growth for people and organizations alike.
Watch “From instinct to insight: How HR can lead with data” on demand now.
Rebecca Warren is a Sr. Director with our Talent-centered Transformation Team. Before joining Eightfold, she held multiple talent leadership roles with large CPG, agri-biz, restaurant, and retail organizations.
