Intelligent Catalogs: How AI is Transforming Skills-Based Learning

What you will find in this article

The transformation towards the Skill-Based Organization The way companies design training is profoundly changing. In this article, you'll discover why traditional training catalogs are no longer sufficient, what it means to build a smart catalog skills-based learning and how artificial intelligence can support the personalization of training courses without sacrificing transparency, methodological rigor, and human control.

Parleremo Tue:

  • why companies are moving to competency-based training;
  • What are smart catalogs and what advantages do they offer;
  • how AI and algorithms help build personalized training courses;
  • the role of skills assessment in adaptive learning;
  • because transparency and compliance with the AI ​​Act are fundamental elements;
  • the Piazza Copernico experience presented at the Learning Forum.

From course catalogs to smart catalogs

On the occasion of the Learning Forums, one of the main Italian events dedicated to innovation in corporate training, Daniela Pellegrinic, Head of Research and Development at Piazza Copernico, presented the company's vision for the future of skills-based training.

A key concept emerged in his speech: if organizations really want to become Skill-Based OrganizationIt's not enough to simply rethink HR processes. We also need to rethink the way training is designed and delivered.

For Piazza Copernico this means transforming traditional course catalogues into smart catalogs, capable of being searched not simply by topic, but by skills, professional objectives and level of mastery, thanks to the integration of artificial intelligence and recommendation systems.

The goal is to add adaptability even before learning begins: in choosing the path best suited to the individual.

Adaptive learning begins before learning

Talking about adaptive learning, we often think exclusively about personalizing content during use.

In reality, adaptivity should begin even earlier, in the path selection phase.

To build an effective training plan it is necessary to know:

  • the person's level of competence;
  • the development objectives;
  • the skills required by the role;
  • the possible evolutionary paths.

For this reason, an intelligent catalog is not simply a collection of better described content, but a system designed "by design" based on skills, capable of connecting courses, assessments and professional objectives.

Evaluation returns to the center

One of the key points highlighted during the Learning Forum concerns the feedback from evaluation.

Artificial intelligence can help with skills profiling, but only if it is powered by robust models and rigorous assessment tools.

The quality of recommendations depends on the quality of the available data.

For this reason Piazza Copernico has developed the own adaptive systems starting from a rigorous methodological planning, also built thanks to the collaboration with the university world according to a defined approach “theory-first innovation”.

The goal is to make the way algorithms select training paths documentable and transparent.

There is no one-size-fits-all skill for all organizations.

One of the most common mistakes is to consider skills as a simple universal dictionary.

In reality, each organization observes, evaluates and develops skills according to different models.

For this reason, an intelligent system must be able to adapt to the business context, defining observable indicators specific to role, function, and organization.

Only in this way is it possible to build truly effective paths of:

  • upskilling;
  • reskilling;
  • internal talent development.

AI yes, but with transparent rules

Artificial intelligence should not replace human decisions, but make them better.

Indeed, completely delegating the choice of training paths to algorithms risks creating processes that are difficult to understand and verify.

This is why Piazza Copernico has chosen a different approach.

The rules governing recommendations are explicit, documentable, and customizable by organizations, maintaining decision-making control with the company.

A choice that also favors compliance with the principles introduced by theAI Act, which require transparency, fairness, and traceability in AI systems used in work settings.

Skills are constantly changing

Skills are evolving so rapidly that even training content risks becoming obsolete within a few months.

That's why simply updating the catalog isn't enough today.

We need to design systems capable of continuously updating content, exercises, and training suggestions, leveraging AI as a tool for managing complexity.

A concrete example concerns artificial intelligence skills.

It's no longer enough to teach people how to use available tools: it's also essential to develop critical thinking, the ability to design AI agents, and awareness of corporate data management.

True strategic competence is not using AI, but learning to govern it.

Towards an increasingly personal training ecosystem

The direction is now clear.

The goal is not simply to offer more courses, but to build an ecosystem capable of supporting each person in their professional development.

From this perspective, the data collected during the training experience becomes a valuable asset for continuously improving recommendations, making learning more personalized, and supporting increasingly effective HR decisions.

This is the path that Piazza Copernico is already developing: a dedicated AI ecosystem, designed to combine personalization, methodological transparency, and the centrality of the person.

Because the future of training will not be defined by the quantity of content available, but by the ability to transform it into the right path, for the right person, at the right time.

Discover the Piazza Copernico approach

Skills-based training requires advanced technologies, but above all a solid methodological framework. For years, Piazza Copernico has been developing solutions Digital learning, personalized paths and systems of adaptive learning that integrate AI, skills assessment, and instructional design to support organizations in developing their people. Learn more about our catalog and solutions for businesses.

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