Career Development & AI – The New World

“Predicting the future isn’t magic. It’s artificial intelligence.” – Dave Waters.

There are numerous fascinating implementations of artificial intelligence in our daily lives. Seldom do we realize that AI has advanced to such an extent that today a real-time AI-bot can keep tabs on current job opportunities, make predictions for future opportunities in various sectors, and do much more. In this blog, we will discuss how student success teams in various universities are bringing AI tools into use to increase the student success rate and how AI is increasingly being integrated into different fields of the economy.

Introduction

Artificial intelligence has become an essential part of career management. Career management entails assisting employees through their professional development, from initial recruitment within the structure to ongoing training and professional development. People and organizations involved in career management include the Student Success Team of educational institutions and Human Resource Managers. They can make full use of AI-based tools to increase the chances of student success. Research indicates that the global market for AI in learning and education is expected to expand at an annual growth rate of 38% to reach $2 billion by 2023. Apart from the World Bank report, a new IFC report includes several examples of how AI can improve access, relevance, and efficiency of youth services in emerging regions.

The massive influx of the boomer generation from the labor market, as well as the rise of Gen X, are two of the reasons why today’s workforce is transforming so significantly and will continue to do so over the next few generations. Artificial intelligence is about increasing the working population at a global level and improvising their experience that comes from various areas ranging from skill enhancement to giving opportunities and training them for something that has not yet arrived in the market. Thus, filling the skill gaps and improving the quality of the human resource is the need of the hour for which AI has to be employed.

Benefits of using AI in career development

1. Anticipating changes in the job market to encourage the development of tailored career paths

• Organizations can now obtain predictive modeling of job changes in the market due to AI.
• It is possible to determine substantial changes in the employment market, such as the rise of new jobs or job categories, and to examine the extent to which specific jobs are obligated to transform due to technological advancements.
• This can be done by processing a large amount of data from the employment market.
• Student success officers can then anticipate various future needs of different organizations with these predictions to plan the appropriate placement and training plans.
• Implementing these approaches in response to anticipated changes in the job market not only informs the student success officers about a company’s long-term viability but also helps them maintain and reinforce employees’ employability by ensuring them an increase in skills in line with the needs of tomorrow’s world of work.

2. Improve training paths and fill skill gaps

• AI can also quickly identify employee skill gaps or the difference between their current skill level and the level required to hold a specific position or meet specific business needs.
• This skill gap is diagnosed using a variety of tools. Annual interviews and self-assessments have traditionally been used to compare employees’ skills to those required to occupy their current position or the position they are aiming for in the context of professional development.
• Other technologies, such as the skills repository and the skills map, may be utilized to quantify this gap thanks to AI swiftly.
• They may be used to build an overview of the skills available inside the company based on an examination of the organization’s jobs and skills data (job titles, job descriptions, etc.).
• This summary may then be compared to standardized job and skill databases and the company’s strategic goals to detect any skill shortages.
• Once these gaps have been discovered, technology may be used to match the individuals’ profiles with the educational material to acquire the most relevant training suggestions to fill these gaps.

3. Fostering internal mobility

• Artificial intelligence is also proving to be helpful in terms of providing career pathways that are tailored to people’s requirements and desires.
• Indeed, whether in the context of vertical mobility (promotion) or horizontal mobility (equivalent post), AI enables the identification of bridges across the company’s various business lines to build appropriate career paths for personnel.
• Artificial intelligence may find customized career development possibilities for employees by examining the closeness between job specifics (title and description) and the abilities required to execute different professions in the firm.
• Technology may occasionally find professional development opportunities that the employees might not have considered otherwise.

4. Career pathing

There are numerous fascinating implementations of artificial intelligence in our daily lives. Seldom do we realize that AI has advanced to such an extent that today a real-time AI-bot can keep tabs on current job opportunities, make predictions for future opportunities in various sectors, and do much more. In this blog, we will discuss how student success teams in various universities are bringing AI tools into use to increase the student success rate and how AI is increasingly being integrated into different fields of the economy.

Introduction

Artificial intelligence has become an essential part of career management. Career management entails assisting employees through their professional development, from initial recruitment within the structure to ongoing training and professional development. People and organizations involved in career management include the Student Success Team of educational institutions and Human Resource Managers. They can make full use of AI-based tools to increase the chances of student success. Research indicates that the global market for AI in learning and education is expected to expand at an annual growth rate of 38% to reach $2 billion by 2023. Apart from the World Bank report, a new IFC report includes several examples of how AI can improve access, relevance, and efficiency of youth services in emerging regions.

The massive influx of the boomer generation from the labor market, as well as the rise of Gen X, are two of the reasons why today’s workforce is transforming so significantly and will continue to do so over the next few generations. Artificial intelligence is about increasing the working population at a global level and improvising their experience that comes from various areas ranging from skill enhancement to giving opportunities and training them for something that has not yet arrived in the market. Thus, filling the skill gaps and improving the quality of the human resource is the need of the hour for which AI has to be employed.

Benefits of using AI in career development

1. Anticipating changes in the job market to encourage the development of tailored career paths

• Organizations can now obtain predictive modeling of job changes in the market due to AI.
• It is possible to determine substantial changes in the employment market, such as the rise of new jobs or job categories, and to examine the extent to which specific jobs are obligated to transform due to technological advancements.
• This can be done by processing a large amount of data from the employment market.
• Student success officers can then anticipate various future needs of different organizations with these predictions to plan the appropriate placement and training plans.
• Implementing these approaches in response to anticipated changes in the job market not only informs the student success officers about a company’s long-term viability but also helps them maintain and reinforce employees’ employability by ensuring them an increase in skills in line with the needs of tomorrow’s world of work.

2. Improve training paths and fill skill gaps

• AI can also quickly identify employee skill gaps or the difference between their current skill level and the level required to hold a specific position or meet specific business needs.
• This skill gap is diagnosed using a variety of tools. Annual interviews and self-assessments have traditionally been used to compare employees’ skills to those required to occupy their current position or the position they are aiming for in the context of professional development.
• Other technologies, such as the skills repository and the skills map, may be utilized to quantify this gap thanks to AI swiftly.
• They may be used to build an overview of the skills available inside the company based on an examination of the organization’s jobs and skills data (job titles, job descriptions, etc.).
• This summary may then be compared to standardized job and skill databases and the company’s strategic goals to detect any skill shortages.
• Once these gaps have been discovered, technology may be used to match the individuals’ profiles with the educational material to acquire the most relevant training suggestions to fill these gaps.

3. Fostering internal mobility

• Artificial intelligence is also proving to be helpful in terms of providing career pathways that are tailored to people’s requirements and desires.
• Indeed, whether in the context of vertical mobility (promotion) or horizontal mobility (equivalent post), AI enables the identification of bridges across the company’s various business lines to build appropriate career paths for personnel.
• Artificial intelligence may find customized career development possibilities for employees by examining the closeness between job specifics (title and description) and the abilities required to execute different professions in the firm.
• Technology may occasionally find professional development opportunities that the employees might not have considered otherwise.

4. Career pathing

There are numerous fascinating implementations of artificial intelligence in our daily lives. Seldom do we realize that AI has advanced to such an extent that today a real-time AI-bot can keep tabs on current job opportunities, make predictions for future opportunities in various sectors, and do much more. In this blog, we will discuss how student success teams in various universities are bringing AI tools into use to increase the student success rate and how AI is increasingly being integrated into different fields of the economy.

Introduction

Artificial intelligence has become an essential part of career management. Career management entails assisting employees through their professional development, from initial recruitment within the structure to ongoing training and professional development. People and organizations involved in career management include the Student Success Team of educational institutions and Human Resource Managers. They can make full use of AI-based tools to increase the chances of student success. Research indicates that the global market for AI in learning and education is expected to expand at an annual growth rate of 38% to reach $2 billion by 2023. Apart from the World Bank report, a new IFC report includes several examples of how AI can improve access, relevance, and efficiency of youth services in emerging regions.

The massive influx of the boomer generation from the labor market, as well as the rise of Gen X, are two of the reasons why today’s workforce is transforming so significantly and will continue to do so over the next few generations. Artificial intelligence is about increasing the working population at a global level and improvising their experience that comes from various areas ranging from skill enhancement to giving opportunities and training them for something that has not yet arrived in the market. Thus, filling the skill gaps and improving the quality of the human resource is the need of the hour for which AI has to be employed.

Benefits of using AI in career development

1. Anticipating changes in the job market to encourage the development of tailored career paths

• Organizations can now obtain predictive modeling of job changes in the market due to AI.
• It is possible to determine substantial changes in the employment market, such as the rise of new jobs or job categories, and to examine the extent to which specific jobs are obligated to transform due to technological advancements.
• This can be done by processing a large amount of data from the employment market.
• Student success officers can then anticipate various future needs of different organizations with these predictions to plan the appropriate placement and training plans.
• Implementing these approaches in response to anticipated changes in the job market not only informs the student success officers about a company’s long-term viability but also helps them maintain and reinforce employees’ employability by ensuring them an increase in skills in line with the needs of tomorrow’s world of work.

2. Improve training paths and fill skill gaps

• AI can also quickly identify employee skill gaps or the difference between their current skill level and the level required to hold a specific position or meet specific business needs.
• This skill gap is diagnosed using a variety of tools. Annual interviews and self-assessments have traditionally been used to compare employees’ skills to those required to occupy their current position or the position they are aiming for in the context of professional development.
• Other technologies, such as the skills repository and the skills map, may be utilized to quantify this gap thanks to AI swiftly.
• They may be used to build an overview of the skills available inside the company based on an examination of the organization’s jobs and skills data (job titles, job descriptions, etc.).
• This summary may then be compared to standardized job and skill databases and the company’s strategic goals to detect any skill shortages.
• Once these gaps have been discovered, technology may be used to match the individuals’ profiles with the educational material to acquire the most relevant training suggestions to fill these gaps.

3. Fostering internal mobility

• Artificial intelligence is also proving to be helpful in terms of providing career pathways that are tailored to people’s requirements and desires.
• Indeed, whether in the context of vertical mobility (promotion) or horizontal mobility (equivalent post), AI enables the identification of bridges across the company’s various business lines to build appropriate career paths for personnel.
• Artificial intelligence may find customized career development possibilities for employees by examining the closeness between job specifics (title and description) and the abilities required to execute different professions in the firm.
• Technology may occasionally find professional development opportunities that the employees might not have considered otherwise.

4. Career pathing

img-alt;career-decision-illustration;Career pathing can give a clear idea as to where one’s interest lies.

• The fact is that most students have no idea what they will be doing ten years from now or what career they would take up.
• This is where career progression planning might come in handy, also known as career pathing.
• Enabling each person to chart a clear path to their future job(s) may engage and encourage them.
  1. Industry career paths: What changes are on the horizon in the industry? These career routes accommodate large-scale developments such as technology advancements, workforce shortages, and the requirement for higher cognitive abilities. Consider the healthcare sector. More nurses are needed than ever before as the country matures and individuals live longer lives. Nevertheless, there is a nurse shortage. Based on industry trends, hospitals will need to evaluate how they fill that gap. Similarly, student success officers must try to find prospective students who could add-ons to this industry.
  2. Company career paths: What are the overarching business goals over the next five to ten years? Management must analyze the key talents critical for success while keeping both corporate goals and industry trends in mind. Every business has various demands, and hence various jobs to perform. A small outpatient clinic, for example, may not require the variety of nurses and abilities that a large hospital requires. Company-led career pathways should place a greater emphasis on filling important jobs today and in the future.
  3. Personal career goals: What are the employee’s personal goals? Employees, in most situations, are not thinking in terms of the firm or industry. They have their own goals, objectives, and plans for the future, which influence where they work and the skills they choose to learn. As a result, the individual’s career prospects are determined mainly by their talents, motivation, successes, and work conduct.

5. Holistic skill profiling and job matching

• AI applications can assist in the transition to competency-based profiling and job matching systems.
• A competence-based matching method moves away from simply gathering information on a job seeker’s official credentials and work experience and toward a more holistic approach that captures talents, life experiences, and objectives.
• Focusing on competencies rather than certificates can aid in the discovery of previously unknown practical talents, particularly those gained via informal encounters.
• Household tasks or volunteering, for example, need organization, resource management, and caregiving but are frequently overlooked when CVs are written. Using this strategy, young people, who frequently lack formal experience at the outset, may boost their confidence and better convey their skills to possible employers.
• On the other hand, employers can better match young applicants with more information about their talents.

6. Actionable insights from skill assessments

• AI may also assist in analyzing data from skill tests to detect a youth’s skill gap and give personalized suggestions for skill development and career progression.
• AI is used by online education businesses such as Coursera and Andela, both IFC clients, to assess student test scores and provide skilling recommendations.
• Like Revelo, a Brazilian IFC customer, other private organizations use data from online education and work platforms to make automatic upskilling suggestions.
• The use of comprehensive psychometric evaluation can also aid in the identification of juvenile latent skills and business potential.
• KnackApp, for example, employs a neurological and behavior science-based game to assess 2,500’micro-behaviors,’ such as active and passive decisions, responses, or exploration. It then links adolescents with relevant skill development programs in various industries, including sales, commerce, architecture, hospitality, and computer science.

AI tools that can help boost career development

1. Conversational AI

• While one-to-one guidance sessions are something that every student needs to understand their interests and explore various job options and career opportunities, sometimes these sessions are not feasible due to a lack of human resources.
• Thus, a fundamental difficulty for university careers services has always been figuring out how to provide a service to all students without an army of employees allowing for one-on-one student involvement.
• Conversational AI chatbots can provide personalized advice to students confused regarding the considerable variety in career opportunities 24/7.
• iSchool360 brings in the Conversational AI that has four advantages:

1. Student behavior prediction
2. Human chat support
3. Easy Integration
4. Advanced analytics and reporting

2. AI feedback on interviews

• The COVID-19 epidemic compelled us all to utilize digital platforms for most of our everyday activities, including job interviews. Companies began to use video-interviewing services to perform a portion, if not the whole, interview process for various roles.
• Thus, the students need to prepare for such kinds of interviews, which include the following steps:

1. Candidates proceed to the platform.
2. They enable their webcam.
3. Then, they have to videotape their replies to interview questions.
4. In the last step, they have to submit their video-recorded responses.

• To make this process easier and allow the candidates to know where they stand and what are improvements they need to make, iSchool360 has come up with AI feedback on Interviews.

3. Candidate/job offer matching

• This tool can help candidates to find their desired jobs and they can accordingly apply to these.
• As a result, the system can immediately identify the gaps between employee profiles and unfilled jobs or job opportunities, allowing it to decide if internal filling is possible.

4. Learner/training matching

• This tool allows you to provide employees with the most appropriate training information based on their specific needs.
• It is built on a standard reading key, the skills, to match the contents of a training catalog with learner profiles based on their profession and talents.
• This matching enables us to provide them with training tailored to their work or professional growth changes.

5. Skills/job matching

• This application enables student success officers and other career development organizations to link a job title to a set of talents and, conversely, to match a list of skills to a position.
• It permits individuals’ tasks and talents to match all business roles.
• As a result, the system can immediately identify the gaps between employee profiles and unfilled jobs or job opportunities, allowing it to decide if internal filling is possible.

6. Resume and CV optimization

img-alt;resume-making-illustration;CV can be the first stepping stone to success.

• A professional, polished CV is and will always be an essential aspect of professional progress.
• Artificial intelligence comes to use here as it helps design the perfect CV that highlights the strong points and skills of a candidate and creates it according to the job requirements that the candidate is applying for.

Conclusion

Artificial intelligence has already begun to influence the world, whether we like it or not. The capacity of machines to assess data, perform research fast by drawing from numerous sources, and learn from experience holds promise for career development and many facets of society. The future is unclear, but AI looks to be here to stay and can shift the trajectory of professional growth.