Whether it's Talent Acquisition or Talent Development, Skills Mapping is crucial for matching the right talent with the right job roles. When done effectively, it not only boosts the overall productivity of the workforce but also equips your organization to stay competitive, enhance retention rates, and adapt to future market and technological changes.
As skills adapt to market demands and technological progress, they create a gap in your workforce that can only be bridged by either recruiting new talent or enhancing the skills of existing employees to meet the demand.
Today’s organizations are struggling to keep up with quickly changing skill demands. Manually tracking employee skills using spreadsheets or old systems often causes mismatched project assignments, low engagement, and expensive external hiring. These problems happen because companies don't fully understand their workforce’s abilities.
In a dynamic global skills landscape where job descriptions are ever-evolving, many organizations think their talent pool is scarce on skills. It’s because they lack visibility into their workforce’s knowledge, skills, and abilities.
Predictive hiring helps you choose the best people for a job by analyzing past recruitment processes using data analysis and machine learning. This method forecasts which applicants would fit a job role well. In fact, 84% of recruiting professionals feel that analyzing talent data to make decisions will become invaluable in the next five years.
The contemporary workplace is undergoing a swift transformation propelled by the escalating demand for tech and AI skills across a spectrum of job roles. This pivotal shift has brought forth Skills-First Transformation (SFT) as a fundamental organizational imperative.
In today's fast-changing job market, the traditional criteria for hiring are being challenged more than ever before. The rise of "new collar" workers — talented individuals who may not have a higher education or come from typical professional backgrounds — is changing the way we think about professional settings. These individuals bring unique skills and a fresh perspective, often finding their place in tech, digital, and various hybrid sectors.
iMocha recently hosted a gathering of industry experts to explore the concept of a 'Skills-First' approach and its potential advantages in navigating the evolving landscape of workforce management amidst ongoing technological and market disruptions. The webinar, titled "People Go Beyond Job Titles: Leveraging 'Skills-First' to Unlock Employee Potential," offered insights into talent management and how to address the challenges posed by changes and talent shortages.
Transitioning from a traditional telco model to a techco model represents a shift in the business approach, moving from providing telecommunications services to offering end-to-end technology solutions. This transformation can bring several advantages, such as increased revenue and sustainable growth. To achieve a successful transition, organizations must focus on talent management and adapt to new practices and strategies. In this article, we'll explore why telecommunications companies are making this transition and how Skills Intelligence and AI-driven skills gap analysis can support this shift.
The importance of assessing the coding skills of candidates before hiring them cannot be emphasized enough.
Amidst the ongoing deployment and expansion of 5G, alongside breakthroughs like Edge Computing and AI, the Telecom sector finds itself in a thrilling phase of advancement. However, it's important to address the fallacious claims of the industry's demise found in sensational headlines.
