Learning Analytics and Skill-Based Organization

See you on June 17th in Milan

On June 17th we will be present in Milan at Learning Forums with the Exclusive Interview "AI and Skill-Based Organization: Managing Skills with Intelligent Catalogs and Recommendation Systems".

Representing Piazza Copernico will be Daniela Pellegrini, Learning & Innovation Expert and Head of Research and Development, who will intervene together with Francesca Rossetto, Head of Talent Strategy & People Development Human Resources & Services at Zurich Italia, in a discussion dedicated to the evolution of corporate training in the era of Artificial Intelligence.

The meeting will offer an opportunity to reflect on how AI is transforming not only the learning experience but also the processes of managing, developing, and enhancing skills within organizations.

From training to skills

For many years, corporate training was evaluated primarily through quantitative indicators: number of courses delivered, attendance, training hours, and completion rates. Today, however, these data are no longer sufficient to understand the true impact of training initiatives.

Organizations are facing increasingly rapid change and need to develop skills continuously, targeted, and consistent with business objectives. In this scenario, the focus inevitably shifts from content to people, and from activities performed to the skills actually acquired and put into practice.

This is the principle underlying the Skill-Based Organization: a model in which skills become the primary reference for guiding professional development, internal mobility, growth, and training.

To support this evolution, new tools are needed to identify needs, suggest personalized learning paths, and provide concrete evidence of the results achieved. Intelligent catalogs, recommendation systems, and digital badges are some of the solutions that connect the organization's goals with people's learning needs, creating more effective paths that truly focus on skill development.

The role of Learning Analytics

If training changes perspective, its evaluation must also evolve.

Learning Analytics allows you to go beyond traditional usage reports to transform data generated by training activities into useful information to support strategic decisions. It's not just about knowing who completed a course, but about understanding how people learn, which courses are most effective, and where any potential issues are concentrated.

Artificial intelligence further expands these possibilities. Interactions with adaptive learning tools, conversational simulators, and intelligent tutoring systems generate new evidence that allows for much more in-depth observation of behaviors, progress, and learning patterns.

In this context we find the new AI solutions Developed by Piazza Copernico, these tools are designed to support both the personalization of the training experience and the evaluation of its effectiveness.

Between these, LearnalyzeR represents a significant evolution in the field of learning analytics. The tool allows for the collection and interpretation of data from different training paths, offering tutors, HR, and training managers a more comprehensive view of learning progress and the skills developed.

The goal is not simply to measure what has been delivered, but to understand what truly generates value for people and the organization.

We'll talk about it at the Learning Forum

During the interview, we'll explore how intelligent catalogs, recommendation engines, digital badges, and learning analytics tools can contribute to building learning ecosystems where individual autonomy and corporate goals move in the same direction.

A discussion that will begin with concrete experiences and real-world use cases to understand how Artificial Intelligence can support the transition to a Skill-Based Organization and help companies value, measure, and develop the skills that make a difference.

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