Rudi Bauer & Péter Töpler

Gut Feeling Is Dead: Talent Intelligence Drives Workforce Planning

Why do most AI implementations fail? It's because companies skip one crucial step before they even begin.

Gut Feeling Is Dead: Talent Intelligence Drives Workforce Planning
#1about 3 minutes

Connecting labor market data with corporate talent strategy

Intelligence advisory helps organizations align their talent strategy with their business strategy by analyzing labor market information and redesigning work.

#2about 3 minutes

How to translate business goals into a talent strategy

The first step in creating a talent strategy is to ensure complete alignment among leadership on the business strategy itself.

#3about 5 minutes

The danger of relying on traditional HR dashboards

Dashboards are only useful if they measure impactful metrics across the entire talent lifecycle, unlike outdated KPIs like attrition or time-to-hire.

#4about 5 minutes

Shifting focus from hard skills to human aspiration

Modern talent strategy must measure human-centric traits like curiosity, motivation, and a continuous learning mindset, which are not captured in job descriptions.

#5about 2 minutes

How to pitch workforce planning to your CEO

Frame workforce planning as a way to create stability and enable scenario planning in a volatile world, similar to managing a supply chain.

#6about 6 minutes

Avoiding common pitfalls in AI workforce transformation

Successful AI implementation requires a deep analysis of the actual work being done before automating, rather than simply replacing humans.

#7about 6 minutes

A three-step approach to building an intelligence team

Start by conducting a diagnostic to understand the work currently being done, then align it with business strategy before introducing external data and tools.

#8about 3 minutes

Using talent intelligence to prepare for future skills

Talent intelligence helps identify emerging skill needs, but effective upskilling requires giving Learning and Development (L&D) a strategic seat at the table.

#9about 4 minutes

Identifying the most durable skills and behaviors for the future

Curiosity, enthusiasm, a willingness to learn, and the ability to supervise AI agents are safe bets for valuable skills in the coming years.

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Jobs that call for the skills explored in this talk.

AI Engineer

AI Engineer

Talent Smart

Remote
£143K
Python
Machine Learning
Continuous Integration