The Guardian of Intellectual Capital in the Era of Generative AI
Today we are talking about a professional figure that is becoming increasingly crucial in companies: the Knowledge Manager. And no, he's not the guy who tells you where to find coffee in the office, but he's the guy who manages one of an organization's most valuable assets: knowledge. 🧠
Who is the Knowledge Manager?
The Knowledge Manager is a sort of "librarian 2.0" who not only catalogs and archives company knowledge, but makes it usable, updated and above all shared. We are talking about a figure who oversees all that is given, information and knowledge within a company. But not only that, he is also the one who defines the methods of sharing and conveying this information, both in structured and unstructured form.
Why is it so important?
In the era of Generative AI, knowledge management is no longer a "nice to have", but a "must have". AI can generate data and information, but someone must be able to manage it, interpret it and make it useful. And this is where our hero comes in: the Knowledge Manager.
Skills and Competencies
A good Knowledge Manager is a sort of "black belt" in various areas:
- Agile and Scrum methodologies: Because knowledge management is an iterative and flexible process.
- Organizational Analysis: To understand how to make information flow within the company.
- Legal aspects: GDPR, copyright and privacy have no secrets for him.
- Technology: CMS, CRM and e-learning platforms are his daily bread.
Among his responsibilities, we find:
- Information Management: In all its shapes and colors.
- Coordination: Between the various departments and company functions.
- Standardization: Definition of guidelines for knowledge management.
- Innovation: Identification of new platforms and tools for the dissemination of knowledge.
The Impact of Generative AI
With the advent of Generative AI, the role of the Knowledge Manager becomes even more critical. AI can generate a mass of data and information which, if not managed correctly, can become "noise" rather than value. The Knowledge Manager can help “train” these AI systems to make them more aligned with business objectives.
How to Become a Knowledge Manager
If all this sounds interesting to you, the path to becoming a Knowledge Manager involves training in fields such as computer science, communication sciences or economics, followed by a specialization through master's degrees or specific courses.
The Knowledge Manager is not just an archivist of knowledge, but a real strategist who can make the difference between a company that "survives" and a company that "thrives". And with Generative AI forcefully coming into play, this figure is destined to become increasingly central.
And you, do you already have a Knowledge Manager in your company? How are you preparing for the Generative AI wave?