5 AI Resources to bridge employee skill gap

With the coming of Artificial Intelligence (AI) tools and AI Resources, Forbes predicts that about 18% of the global workforce could be automated. There is a gap between the skills that people possess, and the skills that employers need, which was also heightened by the coronavirus pandemic, which transformed the way society works.

Hence, people are required to improve their skills and practices by embracing more data-driven techniques and making use of AI tools and resources. The combination of human expertise and AI can form a strong defense against the loss of jobs.

Technological advancements are continuing to rapidly change our work lives, demanding that current and future generations adapt to a digital world and acquire the necessary digital skills to remain competitive. Failure to do so could leave them without the qualifications needed for a wide range of jobs.

This article will explore some of the resources available today that organizations could implement into business practices, to bridge and address the skills gap.

Here are a few AI Resources to bridge the gap between the demand and supply of skills:

1. No-Code AI

Low-code development methods are a game-changer, as they eliminate the need for programming expertise and rely on intuitive graphical tools and visual modeling techniques.  IT executives also consider no-code AI to be a major factor in speeding and simplifying the implementation of customized business processes. This is why this transformation has led no-code AI resources to the forefront of IT.

2. Training and Learning

To bridge the gap, one must un-learn and re-learn knowledge to improve an individual’s skill set and career aspirations. AI can curate a tailor-made repository of courses, materials, and resources, AI will generate personalized recommendations that ensure optimal training outcomes and effectively address organizational skill gaps. We have an ample number of listing websites to hone our skills, such as Coursera, AI Jumble, Class Central, etc. Moreover, machine learning (ML) technologies can continuously monitor employee performance, gleaning valuable insights into their learning progress.

3. Focusing on Individuals instead of Institutions

In today’s fast-paced world, possessing a broad range of skills is no longer an advantage but a necessity for success. Earlier, traditional educational approaches focused on imparting specialized domain knowledge and narrow skill sets. But, today, the modern workforce demands a more holistic approach. Education and training should encourage individuals to develop a broader mix of skills.

4. Analyse skill gap by AI

When the skill requirements for each employee have been established, the next step is to identify any existing skill gaps or areas that need improvement. AI resources like Iris.ai, extract and analyze vast amounts of data from an organization’s records. This contains employee performance metrics, training records, and feedback.

If additional data is required, AI can also be used to deploy assessment tools to evaluate individual skill levels, which will result in detailed reports on both individual and collective skill gaps within an organization. Then, people can make use of the above-mentioned listing websites, learn specific skill sets, and progress in their careers.

5. Expand and Improve on skilling programs.

Nowadays, businesses and individuals cannot afford to miss out on the many benefits of AI training, which can result in employees becoming more skilled, productive, and knowledgeable, by helping them understand the technology itself and its potential. Through this, employees can begin to close the skills gap.

One such organization at the forefront of this innovation is global leader Microsoft, which is expanding its UK skilling program, called Get On, to help 2.5 million individuals gain access to the skills required for today’s AI landscape. As well as this, Avado and BT Group have announced a new series of FastFutures programs to support 2,000 young adults from diverse and under-represented backgrounds in gaining critical employment skills as they transition from education to employment.

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