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How positive EX supports skills-based orgs
Traditional talent management processes are being turned on their heads as talent technology stacks become more complex and driven by AI, and HR and talent leaders seek to streamline their workflows and strengthen decision-making. It appears to be working, too: A recent study by Harvard Business Review found that companies that use AI in their hiring process are 46 percent more likely to make successful hires.
Despite the digital transformation of talent management, the demand for “employee experience and human-centric work design continues,” according to the findings of the recent Gartner® Hype Cycle™ for HR Technology 2023 report, which named SkyHive in three categories: AI-Enabled Skills Management, Labor Market Intelligence, and AI in Talent Acquisition.
이 보고서는 인재 기술의 여러 영역을 다루며 각 영역에 대해 왜 중요한지, 해당 영역의 변화를 주도하는 요인은 무엇인지, 직면할 수 있는 장애물은 무엇인지, 권장 사항은 무엇인지 설명합니다.
다음은 가트너의 인사이트 중 일부입니다:
- By 2025, 60 percent of enterprises will adopt responsible AI frameworks to achieve greater productivity and resilience throughout the organization.
- 기술은 인재의 새로운 화폐입니다. 보고서에 따르면 "기술은 모든 산업에서 인력 관리의 기본 요소입니다."라고 말합니다. "불확실성의 시대나 경쟁이 치열한 시기에는 더 나은 스킬 데이터를 보유한 조직이 더 빠르게 적응하고 인재를 확보하고 배치하는 데 더 역동적으로 대처할 수 있습니다."
- HR 리더는 점점 더 복잡해지는 기술 포트폴리오를 관리해야 하며, HR 및 비즈니스 리더는 민첩성과 유연성을 높여야 한다는 요구를 지속적으로 받고 있습니다.
- AI와 제너레이티브 AI에 대한 과대 광고가 증가하면서 생산성에 대한 논의와 책임감 있는 AI에 대한 요구가 계속되고 있습니다.
- As talent leaders add more technologies, they can’t forget the importance of a strong employee experience. “Multiple new applications (and vendors) must be budgeted, selected, implemented, and integrated alongside existing solutions.”
What is employee experience?
Employee experience (EX) is the holistic journey that an employee takes during their time at an organization. It includes every interaction, perception, and feeling they have, starting from the recruitment process and continuing through their career development, training and development, daily work life, and eventual departure.
For organizational leaders, understanding and optimizing EX is crucial as it directly impacts engagement, productivity, and retention. Positive EX can also help boost organizational reputation and make it easier to attract top talent. This is arguably more important today than it ever has been as talent managers struggle to fill skills gaps and retain employees.
디지털화는 직원 경험에 어떤 영향을 미칠까요?
모든 산업에 걸쳐 조직에서 진행 중인 디지털 트랜스포메이션은 직원 경험을 좋게든 나쁘게든 변화시키고 있습니다.
가장 기본적인 수준에서 디지털 도구와 AI 기반 자동화는 직원들이 수행하는 일상적이고 시간 소모적인 작업의 수를 줄이는 데 도움이 됩니다. 이를 통해 직원들은 더 의미 있고 즐거운 업무에 집중할 수 있습니다. 이는 업무 만족도와 생산성을 높여줍니다.
Digitalization and digital transformation are also leading to more learning, development, and training opportunities for employees. Digital learning platforms, for example, provide employees with access to a wide range of courses and training materials, allowing employees to acquire specific skills. Skills and skills intelligence, says KPMG, is the new currency for talent. In times of uncertainty organizations with better skills data can adapt more quickly and be more dynamic in acquiring and deploying talent.
At the same time, digital transformation can detract from employee experiences. The always-on nature of digital tools can lead to employees feeling pressured to be available 24/7, causing stress and burnout. We’ve all read stories about employees who can never switch off due to the overarching feeling that they always need to be available. This isn’t helped by excessive digital communication and notifications, which can overwhelm employees outside of working hours.
디지털화는 인적 요소에도 부정적인 영향을 미칠 수 있습니다. 디지털 커뮤니케이션에 대한 의존도가 높아지면 대면 상호 작용이 감소하여 직원들 사이에 고립감과 단절감을 유발할 수 있는 것으로 나타났습니다. 가장 분명한 이유는 현재 디지털 도구가 광범위한 원격 및 하이브리드 근무 기회를 지원하는 방식 때문입니다. 이러한 방식에는 많은 이점이 있지만, 강력하고 응집력 있는 회사 문화를 유지하기가 더 어려워질 수 있습니다.
Using artificial intelligence to improve EX
Analysis shows a clear link between strong talent management and better organizational performance. McKinsey found that 99 percent of surveyed companies with effective talent management outperformed their competitors.
This statistic highlights the strong connection between talent management and employee experience. When employees are happy and fulfilled, they stay longer, learn new skills, and help the company achieve its goals.
This has always been true, but digital transformation and AI have recently improved talent management. Now, talent teams can easily use AI to streamline processes and enhance employee experiences at every stage.
Here’s how you can use AI-powered talent management tools to improve your employees' experience.
1. 부족한 부분을 채우기 위한 재교육 및 업스킬링
Reskilling is crucial for ensuring employees have the skills needed to support an organization’s long-term goals. This is especially important as digital transformation changes the nature of work, requiring a broader range of skills.
The need for long-term reskilling is growing quickly. According to the World Economic Forum, 23 percent of global jobs will change in the next five years due to industry shifts, and 1.1 billion jobs could be transformed by technology in the next decade. In response, the WEF launched the “Reskilling Revolution” to equip one billion people with better skills and opportunities by 2030.
Reskilling and upskilling not only close skills gaps but also improve the employee experience. They empower employees with new knowledge, boost career growth, and increase job satisfaction. AI-powered skills intelligence supports these initiatives by enabling skills-based workforce planning. It also demonstrates the organization’s commitment to employee skill development and making them feel valued.
2. 인력 민첩성 지원
AI-powered talent management tools facilitate workforce agility by providing real-time insights into workforce capabilities, performance, and availability. This allows organizations to quickly respond to shifting market demands and job architectures, reallocate resources, and redeploy talent as needed.
또한, AI가 지원하는 민첩한 인력 관행은 유연성과 혁신의 문화를 장려합니다. 새로운 도전에 나서고 자신의 역량을 확장할 기회가 주어지는 직원들은 조직에 더 많은 권한을 부여받고 헌신할 가능성이 높으며, 이를 통해 업무에 대한 주인의식과 자부심을 고취할 수 있습니다. 이는 자연스럽게 높은 직무 만족도와 근속률로 이어집니다.
3. 학습 문화 조성
Creating a culture of continuous learning is vital for enhancing the employee experience and becoming a skills-based organization. AI-powered talent management tools play a key role in this transformation. For example, AI can assess employees' current skills and competencies, identify skills gaps, and recommend personalized learning paths based on individual career goals and organizational needs. This ensures that employees continuously develop new skills while aligning their growth with the company's strategic objectives.
AI-driven learning platforms offer on-demand access to various educational resources, including online courses, webinars, virtual simulations, and interactive training modules. By providing flexible and personalized learning opportunities, employees can pursue professional development at their own pace and convenience, leading to greater satisfaction and motivation.
4. 스킬 인벤토리 구축
Developing a comprehensive skills inventory is essential for enhancing the employee experience and driving engagement. it also lends itself to strategic workforce planning. How?
AI-powered talent management tools can efficiently catalog the skills and competencies of the entire workforce, providing a detailed and up-to-date skills and talent inventory. This helps talent teams identify available skills, pinpoint gaps, and make informed decisions about development and deployment.
Understanding employees’ skills allows organizations to match the right people with the right roles, projects, and teams. This ensures that employees are used effectively and feel their talents are recognized. This alignment improves productivity and performance while significantly enhancing employee engagement. Employees are more likely to feel valued and motivated when their skills are utilized.
5. 점진적으로 구현하고 확장
To maximize the benefits of AI-powered talent management tools while minimizing disruption, organizations should implement new technologies gradually. Starting with pilot programs or phased rollouts allows human resources teams to assess the impact, gather feedback, and make necessary adjustments before a full-scale implementation.
점진적으로 도입하면 직원들이 새로운 시스템과 프로세스에 적응할 시간을 확보할 수 있어 저항과 불안을 줄일 수 있습니다. 초기 구현이 성공적으로 이루어지면 조직은 AI 도구의 사용을 인재 관리의 다른 영역으로 확장하여 신중하고 신중한 기술 통합을 통해 직원 경험을 지속적으로 향상시킬 수 있습니다.
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