In today’s highly competitive business landscape, the performance of projects plays a pivotal role in determining an organization’s success. Successfully executed projects gave numerous benefits, including heightened efficiency, elevated customer satisfaction, and an enhanced reputation. Nonetheless, achieving superior project performance comes with its fair share of challenges.

Among the crucial elements influencing project success, the composition of the project team and their skill sets stand out as key factors. The right mix of skills within the team is essential for tackling project complexities and delivering results that exceed expectations. By recognizing the significance of skill diversity and actively addressing skill gaps, organizations can ensure a higher likelihood of achieving project objectives and staying ahead in the competitive market.

Skills-Based Project Staffing

Building project teams based on skills is a fundamental aspect of project management. When team members possess the right mix of expertise and knowledge, projects are more likely to be efficient and successful. The correct skill mix ensures that the team can handle various project tasks effectively, minimizing delays and potential roadblocks.

For instance, in a software development project, having a balanced team with experts in required programming languages, design, and testing can lead to faster development cycles and better-quality output. On the other hand, a team lacking the necessary skills may struggle to deliver on time and within budget.

Moreover, based on Deloitte, companies that match the right talent and skills to tasks effectively are 52% more likely to be innovative and 57% more likely to be agile.

Thus, a skills-based approach to project staffing can significantly contribute to an organization’s overall competitiveness and adaptability in today’s dynamic and rapidly changing business landscape. By aligning team members’ strengths and proficiencies with the specific demands of a project, organizations can not only enhance their project outcomes but also foster a culture of continuous improvement.

Identifying Skills for Project Requirements

To optimize the team’s skill composition, a thorough assessment of the required team’s abilities becomes imperative. The process involves identifying key skills that directly contribute to the achievement of project objectives—an essential and decisive phase.

This step is where AI-driven analytics can significantly augment the process. AI algorithms can scan through project requirements and analyze the skills needed based on keywords and contextual understanding. This involves comparing the skills mentioned in the project description with those present in candidate profiles, resumes, or employee databases. AI can quickly identify matches, helping to ensure that the right skills are available for the project.

Moreover, AI can perform semantic analysis to understand the nuanced skills required for a project. Semantic analysis empowers AI to go beyond simple keyword matching when identifying skills for project requirements. It enables understanding of skill context, recognizing synonyms and variations, mapping hierarchical relationships, and adapting to evolving industry trends. By comprehending implied skills, accommodating industry jargon, and considering complex skill combinations, semantic analysis ensures accurate skill-to-project matches, ultimately enhancing staffing decisions and project success.

Utilizing historical project data and performance metrics, AI algorithms can swiftly analyze the proficiency of individual team members in various areas, highlighting areas of strength and those that could benefit from reinforcement. This data-driven approach ensures that the selection of skillsets aligns precisely with the project’s demands, enhancing the overall capability of the team.

Optimizing Staffing for Project Success

Project staffing is the process of strategically assigning the right people to the right projects. According to Deloitte, 83% of leaders believe that leveraging employees’ skills data creates benefits for both the organization and its employees.

By considering each team member’s skill sets and experience, project managers can assemble teams that are tailor-made for specific projects. This not only improves project outcomes but also enhances employee satisfaction and engagement.

Additionally, taking into consideration employee availability and workload can prevent burnout and the inability to meet project deadlines. By factoring in these aspects, project managers can ensure a balanced distribution of tasks, promoting a healthier work environment, sustained productivity, and successful project completion.

In this era of technological advancement, AI and Talent Analytics can play a valuable role by providing data-driven recommendations for project staffing, considering individual skills, current workloads, and historical project performance. By factoring in these aspects, project managers can ensure a balanced distribution of tasks, promoting a healthier work environment, sustained productivity, and successful project completion.

Empowering Skills Development

According to Gartner, 64% of IT professionals consider the skills shortage to be the foremost challenge limiting the adoption of transformative technologies. Talent Analytics plays a vital role in bridging skill gaps.

By analyzing data on employees’ skills and experiences, organizations can identify potential candidates for projects based on existing or adjacent skills. For instance, if a project requires expertise in a specific programming language that the current team lacks, Talent Analytics can identify individuals with adjacent skills that can be quickly upskilled to meet the project’s requirements.

Sometimes, organizations may face a challenge where specific skills needed for a project are not readily available within the team. In such cases, it is crucial to empower employees through skill development initiatives. Investing in employees’ growth and upskilling not only meets project demands but also fosters a culture of continuous learning within the organization.

By providing training opportunities and resources, employees can acquire new skills that align with project requirements. Moreover, a culture that encourages skill development attracts top talent and retains skilled employees, making the organization more competitive in the long run.

Incorporating personalized learning initiatives further enhances the team’s capabilities. By offering tailored training opportunities and resources, employees can acquire new skills that precisely align with the specific project requirements. This personalized approach not only boosts individual growth but also fosters a culture that values skill development, making the organization more attractive to top talent. Moreover, when skilled employees are encouraged and supported in their professional development, it leads to higher retention rates, ensuring the company’s long-term competitiveness in the market.

Monitoring and Evaluating Project Performance

Setting measurable performance indicators for projects is essential to track progress and identify areas for improvement. Regularly monitoring project performance allows teams to make necessary adjustments and ensure that the project stays on track.

Talent Analytics comes into play once again when evaluating project performance. By comparing project outcomes with the skill sets of the team members and staffing decisions, organizations can gain valuable insights into the impact of skill development and staffing optimization on project success.

AI’s proficiency in aggregating and integrating data from diverse sources, including project management tools, collaboration platforms, and performance metrics, lays the foundation for comprehensive insights. Complementing this, Talent Analytics meticulously captures skill-related data, offering a panoramic view of project progress and creating a synergistic approach that informs strategic decision-making.

AI’s capabilities extend to anomaly detection, where its algorithms identify deviations in project performance to predict and mitigate risks. This proactive identification of anomalies enables taking timely actions to ensure that projects maintain their trajectory. The collaboration of AI and Talent Analytics transforms project monitoring and evaluation, offering predictive insights and skill-driven decisions that elevate project outcomes.

Achieving superior project performance requires a proactive approach to skill development and staffing optimization. By assembling project teams based on skills, identifying essential skills, and leveraging Talent Analytics to bridge skill gaps, organizations can significantly enhance project efficiency and success.

Investing in skill development empowers employees and ensures the availability of necessary expertise for future projects. Continuous learning contributes not only to individual growth but also to the overall growth of the organization.

EDLIGO Talent Analytics helps organizations assess the impact of skill development and staffing decisions on project outcomes. The platform’s analytics provide actionable insights into project performance, allowing businesses to identify trends, strengths, and weaknesses. With this data-driven approach, organizations can continuously improve project management strategies and enhance overall project performance.

The Corporate Sustainability Reporting Directive (CSRD) is a significant regulation aiming to improve the quality and relevance of sustainability reporting by European Union (EU) companies. The CSRD was proposed by the European Commission on April 21, 2021, and entered into force on January 5, 2023. The CSRD requires companies in Europe to report on their sustainability practices, including environmental, social, and governance (ESG) performance, using standardized sustainability reporting requirements.

A new EU legislation requires all large companies to publish regular reports on their environmental and social impact activities. Compliance is happening soon, as companies are required to submit their report aligning with the CSRD on 1 January 2025, for the 2024 financial year.

Although the CSRD primarily targets larger companies, smaller companies will also be affected indirectly. This is because many small and medium-sized enterprises (SMEs) function as suppliers or service providers to larger companies, which are obliged to provide sustainability reports. Consequently, smaller companies will have to be prepared to respond to such requests and exhibit their commitment to sustainability.

The demand for sustainability reporting is not confined to the EU but is a worldwide phenomenon. Many multinational corporations have made sustainability a central aspect of their business strategy and anticipate their suppliers and service providers to do the same. As a result, sustainability is increasingly becoming a criterion for supplier selection and procurement decisions.

Smaller companies that do not prioritize sustainability may face a disadvantage when competing for business against larger, more sustainable rivals. Sustainability reporting, on the other hand, can assist smaller companies in developing their reputation, increasing their visibility, and enhancing their competitiveness.

It’s important to note that the CSRD is a directive of the European Union and may be applied differently in other countries. For instance, in Germany, a national law called Lieferkettengesetz has already been implemented, requiring companies to take responsibility for the social and environmental impact of their supply chains. Other countries may choose to adopt similar regulations or develop their own reporting requirements. Companies that operate globally may need to comply with multiple reporting frameworks, which can increase the complexity and cost of their sustainability reporting. Therefore, it’s crucial for companies to stay informed about the regulations and reporting requirements in the countries where they do business.

The regulation will impact the following types of companies:

• Companies with more than 250 employees
• Companies with a net turnover exceeding €40 million
• Companies with a balance sheet total greater than €20 million

NFRD versus CSRD: Differences and Action Points

The Non-Financial Reporting Directive (NFRD) is a European Union directive that requires certain companies to report on their environmental, social, and governance (ESG) performance. Specifically, the NFRD requires “public interest entities” to disclose information on their ESG policies, risks, and outcomes.

What specific information will companies be required to reveal?

Additional to the NFRD Under Directive 2014/95/EU, large companies are required to publish information related to the:

• Environmental protection
• Social responsibility and treatment of employees
• Respect for human rights
• Anti-corruption and bribery and
• Diversity on company boards

Also, the CSRD is adding additional requirements on:

• Double materiality concept: Sustainability risk (including climate change) affecting the company + companies’ impact on society and the environment
• Process to select material topics for stakeholders
• More forward-looking information, including targets and progress
• Disclose information relating to intangibles (social, human, and intellectual capital)
• Reporting in line with Sustainable Finance Disclosure Regulation (SFDR) and the EU Taxonomy Regulation

Obligation to Report

Under the directive, non-EU companies with EU subsidiaries meeting specific annual revenue thresholds are obligated to disclose their environmental, social, and governance (ESG) impacts.

It is crucial to note that failure to comply with the CSRD reporting requirements may result in severe consequences. Companies that fail to report and comply with the CSRD face fines of up to 10 million Euros or 5% of their annual revenue. This significant penalty reflects the importance of transparent ESG reporting and encourages companies to prioritize their sustainability efforts.

Benefits and Consequences of CSRD Compliance

Investing in CSRD initiatives has many benefits for businesses.

Cone Communications found that 88% of consumers are more likely to buy from companies that prioritize social and environmental issues.

In addition, a study by Glassdoor found that 75% of employees expect their employers to take a stand on social issues, which includes sustainability. Furthermore, the Harvard Business Review found that companies that prioritize sustainability are more likely to outperform their peers in the long term.

Companies with strong ESG practices have a lower cost of capital, which leads to higher profitability and stock returns. The benefits of CSRD initiatives are not just financial. A study by PwC found that diversity and inclusion initiatives can improve employee engagement, increase innovation, and improve decision-making. Companies that prioritize diversity and inclusion also have a better reputation and are more likely to attract and retain top talent.

However, companies that fail to comply with regulations can face significant penalties. Under the CSRD, companies that fail to comply with reporting requirements can face fines of up to 1% of their annual turnover. For example, French oil and gas company Total was fined for failing to adequately prevent a gas leak at one of its North Sea platforms, releasing nearly 50 tons of gas. Furthermore, Total is currently facing legal action in France over allegations of human rights and environmental violations related to its operations in Uganda.

How CSRD Addresses the Problem of Quality Reporting

The CSRD comes into play as Environmental, Social, and Governance (ESG) reporting gains momentum. There is evidence that companies’ information is not sufficient in the reporting. According to the European Commission, “reports often omit information that investors and other stakeholders think is important.” Reported information can be difficult to benchmark from company to company, and users are often unsure whether they can trust it. With its new requirements, the EU is tackling the problem of quality reporting by establishing a common reporting framework. The CSRD aims to ensure that businesses report reliable and comparable sustainability information to re-orient investments towards more sustainable technologies and companies.

HR professionals play a vital role in enhancing their organization’s strategic impact through CSRD initiatives. By complying with regulations and investing in sustainable practices, companies can improve their reputation, attract, and retain top talent, improve financial performance, and promote diversity and inclusion within their organizations.

EDLIGO Talent Analytics can support HR departments with a constant flow of data to predict and measure the impact of key strategic decisions and determine the future readiness of the organization, supporting HR departments in their strategic role as a foundation for sustainability.  EDLIGO helps organizations achieve their sustainability goals by providing data-driven, unbiased insights into workforce diversity, employee career aspirations, and mobility opportunities, and supporting the development of individual career paths and training opportunities.

More about CSRD read here European Commission Portal.

Talent Analytics is a powerful and cutting-edge approach that leverages advanced analytics to strategically enhance talent acquisition, management, retention, and development in organizations. This methodology employs data-driven techniques to efficiently collect, analyze, and interpret a wealth of talent-related information.

A wide range of data sources can be utilized, including employee performance reviews, training records, recruitment data, surveys, and even external data sets such as industry benchmarks. By harnessing the power of Talent Analytics, organizations can make informed decisions, improve their talent management processes, and achieve remarkable results.

With the help of artificial intelligence and by applying statistical models, machine learning algorithms, and predictive analytics, Talent Analytics aims to uncover valuable insights and patterns that can inform strategic decisions related to talent management. This approach enables organizations to identify the most promising candidates, improve recruitment strategies, enhance employee engagement and satisfaction, and align development programs with individual and organizational goals.

AI and Talent Analytics

AI technology has revolutionized Talent Analytics by providing real-time, predictive analytics that helps organizations identify, engage, and retain top talent. By leveraging AI, organizations can analyze vast amounts of data, including employees’ data and CVs, data from employee surveys, social media, job sites, and employee feedback, to gain insights into talent acquisition trends, employee performance, and skills gaps.

One of the primary benefits of AI-powered Talent Analytics is its ability to predict workforce trends and identify patterns that may have otherwise gone unnoticed. For instance, organizations can use AI to analyze employee data and predict which employees are at risk of leaving the company. They can then take proactive measures, such as offering career development opportunities or adjusting compensation, to retain these employees.

AI also makes it possible for organizations to personalize talent development programs by analyzing employee skills, career aspirations, and learning styles. With this information, organizations can create customized training programs that meet the unique needs of each employee, which can lead to improved performance and employee satisfaction.

AI and Talent Analytics Use Cases

AI and Talent Analytics have significant potential to improve decision-making in HR departments. Here are some of the ways AI and Talent Analytics can support talent management processes:

• Increasing Retention

By analyzing employee data, AI and Talent Analytics can identify the factors that contribute to employee retention. This information can be used to create retention strategies that address the unique needs of each employee and improve overall employee satisfaction.

Predictive analytics plays a crucial role in retention management by leveraging data to forecast and identify potential employee turnover risks, enabling organizations to proactively implement targeted strategies for employee engagement and retention.

• Personalizing Learning and Development

AI and Talent Analytics can help organizations create personalized learning and development programs that meet the unique needs of each employee. By analyzing employee data, including performance metrics, skill gaps, career aspirations and learning styles, organizations can create customized training programs that improve employee skills and engagement.

• Improving Performance Management

By analyzing performance data, AI and Talent Analytics can identify the factors that contribute to high performance. This information can be used to create performance management strategies that focus on developing employees’ strengths, addressing their weaknesses, and providing ongoing feedback and coaching.

• Preparing for the Future of Work

AI and Talent Analytics can play a crucial role in preparing organizations for the future of work. By analyzing market trends, industry changes, and emerging skills, AI can provide insights into the skills and competencies that will be in high demand in the future. HR departments can use this information to develop targeted training programs and succession plans to ensure a skilled workforce that can adapt to changing job requirements.

• Saving Costs by Automating Processes

AI and Talent Analytics can help HR departments save costs by automating time-consuming and repetitive processes. For example, AI algorithms can streamline recruitment processes by analyzing resumes, screening candidates, and identifying top talent, thereby reducing the time and resources spent on manual resume screening.

• Creating Targeted Plans

AI and Talent Analytics can assist HR departments in creating targeted plans for talent acquisition, development, and retention. By analyzing data on employee performance, skills, and career aspirations, AI can provide insights into the areas where additional training or development opportunities are needed. This enables HR professionals to create targeted plans that address individual employee needs, foster engagement, and promote career growth.

EDLIGO Talent Analytics

EDLIGO Talent Analytics is an AI-powered solution that provides organizations with insights into workforce trends, skills gaps, employees career aspirations, performance metrics, and employee engagement levels, enabling them to make data-driven decisions and improve HR strategies.

EDLIGO’s AI-powered Talent Analytics platform enables organizations to:

• Identify high-potential employees and develop personalized career paths for each employee
• Predict which employees are at risk of leaving the company and take proactive measures to retain them
• Analyze the effectiveness of learning and development programs and adjust them to meet employee needs

The platform provides HR managers and company leaders with real-time data visualization that can be customized to fit the needs of each organization, making it easier to identify skills gaps and analyze workforce trends.

The CFO’s role has undergone a significant evolution, shifting from a primary focus on financial management and reporting to a more strategic responsibility in shaping a company’s culture and strategy. This transformation reflects a change in the CFO’s function. Today’s CFOs are expected to be more than just number crunchers; they are expected to be advocates for employees and drive employee development, diversity, and inclusion initiatives as well as to shape the company culture and strategy.

The Importance of Employee Development for Business Growth

In 2023, CFOs are recognizing the significance of prioritizing employee development. They understand that investing in the growth of employees can not only foster personal and professional advancement but also enhance the overall performance of the business. Through the provision of training and development opportunities, employees have the chance to enhance their skills and knowledge, leading to improved job performance and increased engagement.

Furthermore, CFOs understand investing in employee development serves as a valuable strategy to attract and retain top talent. By offering avenues for employees to learn and grow, companies can cultivate a workforce that is both skilled and highly engaged. This, in turn, can result in higher job satisfaction and lower turnover rates, ultimately leading to cost savings for the company.

As a result, CFOs are prioritizing employee development as a key approach to building a skilled and engaged workforce. They understand that by investing in their employees, they can drive better business performance, creating a win-win situation for both the company and its employees.

A concrete example of a company that has successfully embraced employee development is Accenture. This organization offers personalized learning experiences to its employees through its digital learning platform. As a result, they have observed a remarkable 22% increase in employee productivity and an impressive 21% reduction in attrition rates. This shows the positive impact that investing in employee development can have on both individual growth and overall company success.

Embracing Diversity and Inclusion in the Workplace

In 2023, CFOs are placing increased emphasis on diversity and inclusion.

Gartner’s research indicates that 75% of CFOs view diversity and inclusion as essential to their company’s success.

Additionally, a study published in the Harvard Business Review suggests that diverse organizations have achieved a 19% increase in revenue from innovation. Consequently, CFOs are proactively fostering diverse and inclusive workplaces, aiming to create an environment where everyone feels appreciated and treated with respect.

Companies that have successfully embraced diversity and inclusion have seen a positive impact on their bottom line. For instance, Microsoft has reported a 20% increase in employee satisfaction and a 27% increase in innovation after implementing its diversity and inclusion initiatives.

CFOs are prioritizing diversity and inclusion because they know that a diverse and inclusive workforce can lead to better decision-making, increased creativity, and innovation. Moreover, it can help companies attract and retain top talent, which is critical for business success.

Prioritizing Employee Engagement

Employee engagement is also a key focus for CFOs in 2023. Employee engagement is essential for maintaining a positive and productive work environment. CFOs are prioritizing fostering a culture of inclusion, collaboration, and recognition to promote employee engagement.

CFOs understand that employee engagement is critical because engaged employees are more productive, more likely to stay with the company, and more likely to provide excellent customer service. Companies that have successfully prioritized employee engagement have seen significant benefits. For example, Cisco’s “People Deal” program has increased employee engagement by 10% and has resulted in a 2% increase in customer satisfaction.

Advocating for Employees

As CFOs increasingly focus on promoting employee well-being, development, and inclusion in the workplace, they are emerging as strong advocates for their employees. They recognize that prioritizing employees’ well-being is a critical component of achieving success as a company. By investing in their employees’ well-being, development, and inclusion, they are driving business success.

A Gartner survey reveals that 80% of CFOs consider employee well-being to be a crucial factor in their company’s success.

Additionally, Forbes reports that 89% of CFOs believe that their company’s culture and values play a vital role in driving financial performance.

CFOs advocate for their employees because they know that happy, healthy, and engaged employees are more productive and provide better customer service. Companies that prioritize employee well-being and engagement tend to experience higher employee retention rates, lower turnover costs, and improved financial performance. As a result, CFOs are taking an active role in creating a workplace that fosters employee well-being, development, and inclusion.

How EDLIGO Can Help

EDLIGO is a comprehensive Talent Analytics platform that enables CFOs to focus on key employee priorities, such as employee development, diversity, inclusion, and engagement.

Using the platform, organization leaders can gain valuable insights into their employees’ skills, competencies, and potential, enabling them to make informed decisions about career growth and development opportunities.

Additionally, EDLIGO‘s Talent Analytics capabilities can help identify and address any potential biases in their promotion processes. With EDLIGO, CFOs can foster a culture of continuous learning and growth, leading to a more diverse and inclusive workplace. The platform offers training and development programs that focus on diversity, equity, and inclusion, empowering employees to contribute to a more inclusive and diverse work environment.

The ever-evolving nature of the modern workplace, driven by the rapid pace of technological change, poses a multitude of complex challenges for leaders and HR professionals to grapple with. In today’s fiercely competitive business world, the ability to attract, retain, and develop top talent has become the critical factor that sets out successful organizations from the rest. As a result, leaders have to prioritize talent management as a means of staying ahead of the competition and securing long-term success.

1. Talent Management: The Key Challenge for Today’s Leaders

According to PwC’s 2023 CEO Survey, talent is a key concern for CEOs, with 54% of respondents saying that the availability of key skills is a significant threat to their organization’s growth prospects. Attracting and retaining top talent is becoming increasingly difficult.

Korn Ferry‘s research shows that the global talent shortage is expected to reach 85 million people by 2030. This shortage is caused by several factors, including the aging workforce, demographic shifts, and changes in work.

Leaders are encouraged to focus on improving their effectiveness and efficiency in talent management to meet this challenge. To assist their employees in gaining the abilities and information necessary to thrive in today’s quickly evolving business world, they will need to invest in training and development programs. A culture that appreciates and encourages creativity, teamwork, and ongoing learning additionally needs to be established.

Additionally, leaders need to approach talent management with greater strategic thinking. They have to determine the skills and competencies that are most important for the success of their organization using data and analytics, and then establish focused plans for obtaining and growing those talents. Additionally, they should be open to trying out novel Talent Management strategies, such as flexible work schedules and alternative performance review methods.

For example, PepsiCo’s HR leaders struggled to access critical information due to the company’s decentralized structure and data silos. As a result, the teams were unable to leverage their knowledge to make informed decisions.

To overcome this challenge, PepsiCo used AI-powered Talent Analytics to identify high-potential employees and provide personalized development plans. The company’s AI-powered platform analyzes employee data, including performance reviews and training history, to identify employees with the most potential for leadership positions.

Ultimately, the success of any organization depends on the strength of its talent. By focusing on Talent Management, leaders can create a competitive advantage that will help their company thrive in the years to come.

2. Revolutionizing Talent Management: Exploring the Advantages of AI-Powered Talent Analytics for Leaders

According to Forbes, companies that adopt AI-powered Talent Analytics can improve their employee retention rates by up to 35% and reduce their recruitment costs by up to 30%.

According to PWC, 73% of executives believe that AI will be a significant driver of business success in the coming years.

AI-powered Talent Analytics can help leaders overcome the challenges they face in today’s business environment. Here are some of the benefits of AI-powered Talent Analytics:

• Decision Making: AI-powered Talent Analytics can provide leaders with valuable insights to make better decisions. By analyzing data on employees’ performance, engagement, and retention rates, leaders can identify areas that need improvement and make data-driven decisions to address those issues. For example, HAPPYCAR achieved reduced the time in the pre-selection process of candidates by 78%. Moreover, they were 40% more satisfied with the new candidates after employment.
• Automation: According to Harris Poll, HR managers who do not fully automate say they lose an average of 14 hours a week manually completing tasks that could be automated. AI-powered Talent Analytics can automate many tasks, increasing productivity and reducing the workload for leaders and HR professionals. For example, Walgreens established automation of leave claims where AI defines whether they are paid or unpaid, which helped to increase efficiency in the HR shared services group by 73%. AI-powered tools can provide learning recommendations for employees, recommendations on project staffing, and even automate the onboarding process for new hires.
• Early Alerts: Credit Suisse saves approximately $70,000,000 per year by predicting employees at risk and retaining high-performing employees. AI-powered Talent Analytics can provide early alerts on potential issues such as employee turnover, disengagement, and low productivity. By detecting these issues early, leaders can take proactive measures to address them before they become a more significant problem. As AI technology continues to evolve, it will become an increasingly valuable tool for leaders in managing their workforce.

3. Transforming Your Business Landscape: The Benefits of AI and Talent Analytics for Modern Organizations

Recently the German Association for Consumer Studies (DtGV) has recognized EDLIGO as one of Germany’s 3 most innovative medium-sized companies in Software and Hardware. The recognition results from a study conducted to identify the most innovative medium-sized companies in Germany across 30 industry sectors. The study evaluated the patent performance of German companies with revenues not exceeding one billion EURO between October 1, 2021, and September 30, 2022. The study identified EDLIGO as one of the top-performing ones and included it in the list of 500 most innovative companies published by the prestigious German magazine, Stern.

EDLIGO is a cutting-edge AI-powered Talent Analytics platform that offers a comprehensive solution for leaders and HR professionals to tackle the challenges posed by today’s business landscape. With its Talent Analytics feature, EDLIGO helps organizations establish a clear, objective, and data-driven baseline for their employees. This enables them to gain early insights into potential issues such as employee turnover and disengagement, allowing them to take proactive measures to address them before they escalate.

The platform also assists organizations in identifying top performers and future leaders, discovering hidden talents within their workforce, and developing their employees’ potential for future growth. By increasing retention rates and maximizing employee engagement, EDLIGO helps organizations to establish a strong foundation for their growth.

EDLIGO‘s competency mapping functionality enables managers to evaluate the skills and competencies of their employees. The platform generates a skill gap map, providing managers with the necessary insights to identify areas where employees may need further development. This helps managers to create a structured and targeted talent mobility program, promoting internal talent search and personalized development plans for employees seeking to advance within the organization.

In addition, EDLIGO automates several tasks such as learning recommendations, project staffing, and onboarding processes, resulting in increased productivity and reduced workload for leaders and HR professionals. Overall, EDLIGO is an indispensable tool for leaders and HR professionals who seek to optimize their organizational processes and enhance their employees’ development, engagement, and retention

The future of leadership and HR in the age of AI is exciting. By leveraging AI-powered Talent Analytics, leaders can overcome the challenges they face and build a more productive and engaged workforce. With platforms like EDLIGO, leaders can stay ahead of the competition and succeed in today’s fast-paced business environment. If you would like to know more about how AI and Talent Analytics can help your organization succeed, visit our website at https://www.edligo.com. 

Artificial intelligence is an emerging technology transforming the way we live and work. With AI going mainstream, the world economy is expected to be impacted in multiple ways. While PwC’s Global Artificial Intelligence Study estimated that AI will lead to a 26% increase in global GDP, McKinsey Global Institute is foreseeing that 45 million Americans, which is about one-quarter of the working class, would lose their work to automation by 2030. AI guru Kai-Fu Lee, the author of AI Superpowers: China, Silicon Valley, and the New World Order and CEO of Sinovation Ventures, predicts that 50% of all jobs will be automated by AI within the next 15 years.

So how will AI impact the workforce, and how what role will it play in HR?

AI Will Create More Jobs Than It Eliminates

According to the World Economic Forum, 97 million new jobs will be created by 2025 thanks to AI. So, AI will replace some jobs, but new jobs will be introduced to support the maintenance and use of artificial intelligence. And already in 2019, creating new jobs as artificial intelligence became more widespread inside companies has become a huge priority for C-suite leaders.

Based on PwC report, around 20% of executives in the USA companies have AI initiatives that will roll out across their businesses, and they expect to invest more in both automatizations of the current tasks with a help of AI and creating and filling the new roles which are associated with AI operations.

Many of the anticipated new jobs have already come to life, such as for example Financial Wellness Managers, or Memory Curator and Augmented Reality Journey Builder, Chief Ethical and Humane Use Officer among all.

However, while opportunities are created, some challenges will arise. Most of the automation will be concentrated in the starter positions, making it increasingly hard for fresh graduates to find a job. Organizations will mostly rely on freelancers and contractors to get the rest of the tasks done. Full-time employment might be reduced drastically, and governments will struggle to guarantee a basic income for everyone.

Human Skills Will Grow in Importance

The question of whether AI will replace humans arises from the assumption that AI and people have the same abilities and qualities, but actually, they don’t. AI-powered machines are more accurate, faster, and very rational, but they are definitely not emotional, or culturally sensitive. AI is extremely useful in improving the speed of data analyzing and decreasing the reporting time. Moreover, AI is able to analyze huge volumes of data and draw comprehensive reports.

Human abilities are more expansive than machines’ abilities, which are only responsive to the data available. People are able to use imagination, they can feel and evaluate changing situations, which help them to move from short-term to long-term issues. These people’s abilities are and do not require a constant supply of data.

The demand for human skills will only grow. Human skills (also known as “soft skills”) show our ability to relate to one another and refer to aspects such as empathy, compassion, and authenticity. People with well-developed human skills can create deeper connections with other employees and customers.

AI in HR

For many industries, the focus for the next year is on deciding how to use AI to help employees do their jobs faster and better. For HR leaders this is already happening. Oracle conducted research with 600 HR leaders who are using AI at work, to learn where AI was being used in the workplace to re-evaluate and transform the employee experience. Most HR professionals welcome the integration of AI into their HR operations. In fact, 64% of them reported that they would trust a robot over their manager for advice.

Moreover, about 50% of HR department employees are already using some form of AI at work (compared to 32% in 2018). The report also says that 65% of workers are optimistic, excited, and grateful about having AI as a helping hand.

AI is increasingly being used to automate many HR processes, and it appears that automation is going to pay off big time. Take Hilton as an example, with AI-based screens and interviewing candidates, the organization managed to increase the speed to hire by 85%. Moreover, AI also helped increase the diversity of their talent pool and enable our recruiters to identify a high-performing candidate faster. Here it is important to mention that artificial intelligence can be used only as a recruiter’s tool to assist them in the hiring process, but not in making the final decision to hire.

Since running an HR department requires a very personalized and empathetic approach to each of the employees, AI is unlikely to replace HR managers in the future, and a successful HR ecosystem will comprise the right mix of People Analytics, AI, and human intervention. Data-driven insights will help make multidimensional decisions but will not make these decisions by themselves alone.

Where is AI Being Used in HR?

1)    Learning and Development

Continuous learning is important for both employees and their organizations. However, the challenge that we face today in a rapidly moving business and technological environment is that skills have a shorter lifecycle than they were 10 and more years ago.

And it is where AI in upskilling and reskilling can truly add value. Some of the key L&D-related areas include personalized learning pathways, adjusted to the needs of each person, learning analytics, evaluation of corporates’ skills needs, and development of cost-effective training strategy.

If you would like to know more about how AI and Analytics can help to create a cost-effective L&D strategy, schedule a call with EDLIGO experts.

2)    Map of people and their skills

Knowing your people and their competencies is important for any organization to align their goals with the current human resources they have and think of upskilling strategies. Companies and their employees must adapt to the changing environment fast, and to make the change smooth, HR leaders should know what skills and competencies gaps the company’s staff possess. Based on this information, they can organize training, courses and acquire new people for the company.

AI can help assess the employees fast and precisely, as well as align it to corporate goals and evaluate what skills are missing. Check here for more information about creating a map of people and their skills.

3)    Talent Mobility

It is not easy to just move good employees to other departments. Through structured and data-driven talent mobility, HR leaders can fill open positions in a cost-effective way. Moreover, this way they can satisfy the career progression aspiration of their employees, and AI can help optimize this process.

AI-based Analytics help to solve the mobility challenges such as finding better skill matches, improving employee visibility to career opportunities, enhancing the employee experience, and creating pools of internal talent. It can release the power of the people an organization already has.

4)    Identifying future leaders and top talent

Identifying top employees requires measuring their abilities and skills across different metrics. A person can have extraordinary abilities in one field but fail to adapt to changing circumstances. The more complex the combination of variables gets, the more difficult the search becomes. AI and Analytics tools can perform data analysis to help managers understand the performance of their workforce over multiple metrics, building a more comprehensive picture of the talent’s potential.

5)    Data-based talent management

Talent management involves the processes of retaining high-quality employees, developing their skills, and continuously motivating those employees to stay in the organization.

AI can predict the likelihood of an employee leaving, by evaluating employee data that includes rewards, time in role, performance, and measuring these metrics against attrition levels. Thus, Talent Analytics and AI support HR in people management to have an awareness of any potential problems before they arise and allow for interventions to occur before matters become more serious.

To learn more about AI use in the Human Resources field EDLIGO team has interviewed HR Leaders about their experiences and opinions about the role of AI in Talent management.

Here are some great insights:

David Swanagon

Head Of People Analytics North America, Ericsson, The USA

Official Member, Forbes Human Resources Council

1. What is the current role of AI in HR?

The Future of Work = People + Machines. Currently, AI plays a large role in candidate sourcing and critical skills identification. This includes driving D&I objectives by ensuring that offer packages are equitable across race and gender. For the most part, large companies have used AI to help facilitate HR Service Centers. Front-line tasks such as compensation and total rewards are better handled using Bots and automation tools. As part of this, training departments have adopted AI to help manage learning pathways. These recommender programs assist employees in identifying career paths and growing skills in their chosen domain.

2. How can AI transform HR in the future?

In the coming decade, it’s possible that machines will outnumber people in terms of workforce. This means that a new leadership model will have to be created to handle Ethical AI and automation. The concept of “Leading Machines” will become increasingly important as C-level executives grapple with the integration between AI and people operations. This includes how human skills are deployed, alongside the mix between build, buy, and borrow staffing levels. At a transactional level, AI will help automate most HR shared services. However, it will also help with strategy formulation by identifying opportunities for employees to partner on projects and leverage shared expertise.

3. How can AI improve decision-making for better business outcomes?

It’s important for CHROs to understand that data privacy is part of the employee experience. A key aspect of Ethical AI is ensuring that data is effectively managed across organizations. This includes establishing a chain of custody for sensitive information, alongside a policy framework for how data will be used to make talent decisions. Companies that excel at this process will enjoy stronger engagement. Separately, AI helps provide an objective opinion to executives before they make a decision. Whether it’s a capital investment or talent decision, many leaders are challenged by competing viewpoints. The objectivity that AI provides allows executives to filter both positive and negative elements. This helps minimize downside risk, while identifying new opportunities for reinvestment. If implemented correctly, AI can help reduce organizational bias. However, the same tools can do the opposite if utilized poorly.

Prianty Rojo

Talent Acquisition US Manager – PepsiCo, Latin America

1.     What is the current role of AI in HR?

HR roles are more and more connected to business strategy. AI helps to be more efficient and measure our processes so we can play an active role with the organization and be more focused on our pilar: People.

2.     How can AI transform HR in the future?

AI it’s an enabler to create business acumen cross-function. In the future will help to talk “the same language” with the rest of the organization and create more accurate strategies from a holistic perspective.

3.     How can AI improve decision-making for better business outcomes?

For HR has been challenging to set down conversations, strategies, and results into KPI’s, SLA’S, etc. Transform qualitative into quantitative, is a big advantage so we can talk, think, and plan with clear data. Be people and results-driven.

Lucas Velmer

Human Resources Business Analyst, United States Department of the Army, The USA

1)    What is the current role of AI in HR?

The current role of AI in HR is largely dependent on the organization. An organization dictates priorities and both AI progression and HR progression need to be priorities for there to be a role in HR. Otherwise, HR will continue to progress as societal norms continue to evolve, but still, be largely dependent on human-to-human interaction with some degree of automation in support. That said, AI helps HR professionals save time while providing quantifiable metrics for both people management and strategic business decisions.

2)    How can AI transform HR in the future?

AI can assist HR professionals through automation of mathematics, statistics, and information management, saving countless people-hours. A computer can calculate advanced formulas and parse statistical data in a fraction of a second whereas it can take human several hours to draw the same calculated conclusion. This allows the analyst more time to understand the metrics and their impacts, identify potential bias, and solidify information for knowledge sharing.

3)    How can AI improve decision-making for better business outcomes?

Bottom line: humans are more important than hardware. AI can and should always play a role in decision-making, provided the inputs are correct, inclusive, and bias-free. AI can run calculations, algorithms, and provide statistical information in an instant which then allows someone to analyze the information and potentially use AI to run predictive algorithms to analyze potential outcomes. This, coupled with experienced HR professional analysis, helps executives understand the impacts of their decisions on their current and future employees. On a final note, AI should never be the priority over humans. AI cannot and should not quantify human sentiment, feelings, or anything else that is subjective and truly unquantifiable. These things should always be left to humans.

Alfredo López Luján

 People Analytics Manager in Middle Americas AB-InBev, Latin America

1.     What is the current role of AI in HR?

Artificial intelligence has become a hot topic as it has transformed many businesses. The current role of Human Resources and becoming another user of this methodology is to focus people to interact with technology. Many people are afraid of this transformation. Every day we read that a robot is going to replace us. What is necessary is to show people how to interact with the new tools. We have to help people grow and evolve. As humans, we can transform our behaviors and our habits. The important thing is to show how to learn to “get along” with technology.

2.     How can AI transform HR in the future?

Basically, it will be in charge of providing a lot of information for decision-making. Processes such as Recruitment and Selection, commitment to the company, staff retention, and performance measurement have changed today thanks to more data and deeper analysis. Not only will it speed up and facilitate your work, but it will also allow you to see “details” or “situations” that would never have been detected. With this, you will be able to observe and understand interactions. We are currently looking at issues of leadership, team building, and communication between staff. Behavioral analysis shows you that we have a large number of personalities, which also change with situations. But analyzing this, each time will bring us closer to the study and understanding of humans.

3.     How can AI improve decision-making for better business outcomes?

In the case of Human Resources, it will allow us to know the employees with the highest performance, to recruit and retain more effectively, to make financial decisions about the construction of projects where people are involved. How could you select the right employee for a position from the hundreds of applications that come to us? How to know if induction is adequate for the requirements of the personnel, not only at present but in the future when they are required? How will you communicate and how will you be prepared for the next crisis or disruptive event? How are your employees going to interact with customers by knowing their preferences? We will solve all this with AI.

 Kirsi Elina Kallio

Learning and Development Specialist, CEO and Founder of Kasvun Katalyytti Oy, Finland

1)    What is the current role of AI in HR?

One of the most unutilized resources in modern organizations is AI. Already, organizations collect a lot of data related to their personnel, stakeholders, and customers. Data as such, however, does not yet provide support to evidence-based decision-making. AI-based solutions are needed to refine big data masses to relevant knowledge.

2)    How can AI transform HR in the future?

HR is still under presented in the management teams of large corporates, although a human resource is the most valuable resource of the companies.

Today, data is power. By offering relevant data-based knowledge to support business decisions, it is possible to raise HR’s profile.

Traditional operational HR processes are easy to automate This releases more time to HR professionals to do more strategic planning and developments based on data.

3)    How can AI improve decision-making for better business outcomes?

The problem in big organizations is, that the higher-level managers are not able to see what is happening on the front line. With more efficient AI solutions, HR is able to generate vital data about performance and learning at the customer interface. This helps to better predict e.g. future competence needs.

At the moment, the decision-making process is largely based only on feeling. AI-based analytics has been criticized for producing distorting data to support decision-making. However, it must be remembered that it is always a human being who decides where and how data is collected and for what information obtained is used.

Marcin Gabryel

Recruiter / Senior HR Specialist, Arla Foods, Poland

1)    What is the current role of AI in HR?

Artificial Intelligence has more influence to HR then ever before. The number of processes that can be taken care of by AI is still increasing. These are low-value and low-risk tasks like tracking systems, document verifications. In my role, more focused in recruitment area AI is also more involved in pre-selection processes, but also helps with repetitive tasks, like scheduling of meetings.

2)    How can AI transform HR in the future?

I believe that automation processes that are ongoing in many different fields will be slowly taking over more and more tasks. In my area for example – the initial stages of recruitment processes like phone screens (1st interview) are already handled using AI in some companies. Even selection (or pre-selection) processes can be assisted by AI (algorithms). This allows us to focus more on different tasks and saves time.

3)    How can AI improve decision-making for better business outcomes?

AI has the ability to analyze huge amounts of data in a very short time and this is definitely crucial. Providing valuable insight (or even predictions) based on analyzed data can be helpful in many areas such as finance, marketing, HR.

 Ella Kiselyuk

Executive Director of Human Resources, City University of New York-Baruch College, The USA

1)    What is the current role of AI in HR?

During these unprecedented times and impact of COVI19 on HR overall operations, an immediate need to shift to AI is inevitable. The current role of AI in HR is relatively new as many organizations are still the midst of modifying their policies and procedures to incorporate hybrid and/or fully functioning business operations. For example. a response time to employees’ daily inquiries regarding their benefits, time and leave, retirement, etc. has tremendously changed. HR professionals spent more time on checking multiple databases/software before a complete and accurate data is released to the employee. There is an increased demand to automate some of the transactions in order to improve HR operations.

2)    How can AI transform HR in the future?

AI will transform HR operations by allowing HR professionals to become more strategic and engaged. A lot of transactional operations that are currently performed by HR personnel, will shift to AI. This will resulted in streamlining some of the transactional processes as well as it will reduce a “human” error factor, especially when it comes to data entries. Moreover, a presence of both, human and technology in HR daily operations will create an inclusive and non-biased environment during recruitment and on-boarding activities. A pre-selection process will be significantly reduced and the most accurate, valid and comprehensive data will be shared with senior leadership and stakeholders. HR will be able to define and produce various metrics on a regular basis relying solely on AI findings.

3)    How can AI improve decision-making for better business outcomes?

The leadership has to take into account how employees will embrace and respond to AI. While some may think AI will replace a human factor during HR interactions, the current business environment and its innovative trends demonstrate the need to automate more HR transactions. Once an accurate, data-driven information is shared with the leadership, it will help to focus on many factors including cost, retention, savings,etc. AI will assist in determining whether the company’s resources are properly allocated and positioned in a competitive environment. It will also help improving business operations by branding the company’s innovative and diverse approach and its impact on well-being of the employees. A reduction in hours spent on compiling data will also have a significant impact on employees’ morale and performance.

In summary, AI is already utilized by HR Leaders in different countries and across different industries, and it has more potential to develop even more use cases to make the working process even easier and more efficient.

If you would like to know more about how AI and Talent Analytics can help your organization to succeed, please contact EDLIGO team or schedule the demo.