Human resources, AI and big data: will HRDs become “Data Sharing Masters”?
Talent management is at the heart of companies’ HR concerns. Human resources means data and flow management: identification / referencing / location of expertise, internal mobility, recruitment, training, company culture, internal processes, corporate information, etc.
What is the place of data in HRM?
Gimmick or real innovative tool, where does artificial intelligence really stand on these HR subjects?
And what if AI allowed HR departments to refocus on people?
After years of talking about digitalisation at all levels of companies, particularly in the HR field, we can see that companies have come a long way in realising that they need to change and review the way they work on a daily basis.
If the digitalisation of processes, new collaborative tools and more transversal corporate cultures are tangible facts in organisations, the current challenges and the pandemic context have shown that it is necessary to go further in the reinvention.
“PROCESSED DATA IS INFORMATION. PROCESSED INFORMATION IS KNOWLEDGE, PROCESSED KNOWLEDGE IS WISDOM.”
– Ankala V. Subbarao
Not confusing digitalisation with automation, putting people back at the centre, revaluing expertise, strengthening the collective despite increasing teleworking, and developing well-being at work are the key issues today.
And all of this, of course, with the need to develop or maintain business leadership and increase profitability in a highly competitive global environment.
Make digitalisation great again!
AI is emerging as an essential partner for HR departments today and in the future.
AI should certainly relieve employees of low value-added tasks, but it should also help them to become more competent, to better connect with each other, to value their expertise and know-how, to be identified for their real skills, to progress in their career, and generally to feel better in their work.
To this end, HR departments that are already using AI solutions seem to agree on one thing: AI should / can not be used simply as a ‘patch’ tool here and there in the current HR environment and operation. AI leads to an in-depth, almost systemic rethink of the way human resources are managed. Whether it is to get the most direct benefit or simply to transform, the HR profession must rethink itself in the light of AI.
The HR function handles an enormous amount of data, and AI represents an opportunity to optimise performance in this area, a powerful lever for cross-functionality, but also an indicator of situations that were previously invisible.
In concrete terms, AI is a booster in many HR fields of application:
Smoother HR processes / employee autonomy
Career management / mobility
Recruitment
Onboarding of new recruits
Offboarding
Identification of expertise and “expertise gaps
Training (self-training, peer-to-peer training, etc.)
Creating links between employees / transversality
Capitalization of knowledge
Corporate culture
The employee experience
Empowerment / motivation of employees
Well-being at work
What role for HRDs in the future?
It may be a bit of a disruption to turn HRDs into “Data Sharing Masters”, but the idea is nevertheless worth exploring.
The HRD of tomorrow will clearly have to know how to handle data as well as people.
He/she will accompany the transformation of the company thanks, in particular, to technologies such as artificial intelligence applied to human resources management.
These skills are all the more necessary as the acculturation of employees within the company to what underlies the innovation of AI and data is a major challenge of data upskilling. AI will be (and is already) part of the daily life of teams, so it is necessary to help them understand the main principles of these subjects, and therefore to master the fundamentals themselves.
No, the HRDs of tomorrow are not destined to become the “Data Sharing Masters” of companies, but should clearly be Human Data Masters!
Talent management is at the heart of companies’ HR concerns. Human resources means data and flow management: identification / referencing / location of expertise, internal mobility, recruitment, training, company culture, internal processes, corporate information, etc.
Gimmick or real innovative tool, where does artificial intelligence really stand on these HR subjects?
And what if AI allowed HR departments to refocus on people?
After years of talking about digitalisation at all levels of companies, particularly in the HR field, we can see that companies have come a long way in realising that they need to change and review the way they work on a daily basis.
If the digitalisation of processes, new collaborative tools and more transversal corporate cultures are tangible facts in organisations, the current challenges and the pandemic context have shown that it is necessary to go further in the reinvention.
“PROCESSED DATA IS INFORMATION. PROCESSED INFORMATION IS KNOWLEDGE, PROCESSED KNOWLEDGE IS WISDOM.”
– Ankala V. Subbarao
Not confusing digitalisation with automation, putting people back at the centre, revaluing expertise, strengthening the collective despite increasing teleworking, and developing well-being at work are the key issues today.
And all of this, of course, with the need to develop or maintain business leadership and increase profitability in a highly competitive global environment.
Make digitalisation great again!
AI is emerging as an essential partner for HR departments today and in the future.
AI should certainly relieve employees of low value-added tasks, but it should also help them to become more competent, to better connect with each other, to value their expertise and know-how, to be identified for their real skills, to progress in their career, and generally to feel better in their work.
To this end, HR departments that are already using AI solutions seem to agree on one thing: AI should / can not be used simply as a ‘patch’ tool here and there in the current HR environment and operation. AI leads to an in-depth, almost systemic rethink of the way human resources are managed. Whether it is to get the most direct benefit or simply to transform, the HR profession must rethink itself in the light of AI.
The HR function handles an enormous amount of data, and AI represents an opportunity to optimise performance in this area, a powerful lever for cross-functionality, but also an indicator of situations that were previously invisible.
In concrete terms, AI is a booster in many HR fields of application:
Smoother HR processes / employee autonomy
Career management / mobility
Recruitment
Onboarding of new recruits
Offboarding
Identification of expertise and “expertise gaps
Training (self-training, peer-to-peer training, etc.)
Creating links between employees / transversality
Capitalization of knowledge
Corporate culture
The employee experience
Empowerment / motivation of employees
Well-being at work
What role for HRDs in the future?
It may be a bit of a disruption to turn HRDs into “Data Sharing Masters”, but the idea is nevertheless worth exploring.
The HRD of tomorrow will clearly have to know how to handle data as well as people.
He/she will accompany the transformation of the company thanks, in particular, to technologies such as artificial intelligence applied to human resources management.
These skills are all the more necessary as the acculturation of employees within the company to what underlies the innovation of AI and data is a major challenge of data upskilling. AI will be (and is already) part of the daily life of teams, so it is necessary to help them understand the main principles of these subjects, and therefore to master the fundamentals themselves.
No, the HRDs of tomorrow are not destined to become the “Data Sharing Masters” of companies, but should clearly be Human Data Masters!
AI is emerging as an essential partner for HR departments today and in the future.
AI should certainly relieve employees of low value-added tasks, but it should also help them to become more competent, to better connect with each other, to value their expertise and know-how, to be identified for their real skills, to progress in their career, and generally to feel better in their work.
To this end, HR departments that are already using AI solutions seem to agree on one thing: AI should / can not be used simply as a ‘patch’ tool here and there in the current HR environment and operation. AI leads to an in-depth, almost systemic rethink of the way human resources are managed. Whether it is to get the most direct benefit or simply to transform, the HR profession must rethink itself in the light of AI.
The HR function handles an enormous amount of data, and AI represents an opportunity to optimise performance in this area, a powerful lever for cross-functionality, but also an indicator of situations that were previously invisible.
In concrete terms, AI is a booster in many HR fields of application:
Smoother HR processes / employee autonomy
Career management / mobility
Recruitment
Onboarding of new recruits
Offboarding
Identification of expertise and “expertise gaps
Training (self-training, peer-to-peer training, etc.)
Creating links between employees / transversality
Capitalization of knowledge
Corporate culture
The employee experience
Empowerment / motivation of employees
Well-being at work
It may be a bit of a disruption to turn HRDs into “Data Sharing Masters”, but the idea is nevertheless worth exploring.
The HRD of tomorrow will clearly have to know how to handle data as well as people.
He/she will accompany the transformation of the company thanks, in particular, to technologies such as artificial intelligence applied to human resources management.
These skills are all the more necessary as the acculturation of employees within the company to what underlies the innovation of AI and data is a major challenge of data upskilling. AI will be (and is already) part of the daily life of teams, so it is necessary to help them understand the main principles of these subjects, and therefore to master the fundamentals themselves.
No, the HRDs of tomorrow are not destined to become the “Data Sharing Masters” of companies, but should clearly be Human Data Masters!