FREMONT, CA: Machine learning (ML) has showcased unprecedented growth and benefits in firms that have strategically implemented it to leverage its essence to the fullest, especially in e-learning. Traditional corporate and institutional learning programs are not up to the level of the modern business landscape. To broaden the talent pool, keep employees up-to-speed on the latest technical skills, and efficiently shape a leading workforce, companies need to think out-of-the-box about possible methods of enhancing development and training the workforce. In a scenario with a shortage of highly skilled workers and a surplus of mid-low skilled workers, companies focus on training the workers available in excess, so that the ML talent gap is not widened further. The IT talent pool can be enriched by drawing employees with less experience in data science analytics and providing them with internal learning.

Docebo CEO Claudio Erba shares insights on how elearning tools can help companies close skills gaps, and why adaptability is the most important skill above all. Companies have been struggling with a shortage of digital talent for years, and the gap is growing. Globally this deficit is predicted to reach 4.3 million unfilled jobs by 2030, costing hundreds of billions of dollars in lost revenue. Meanwhile, machine learning (ML) presents companies with an unprecedented opportunity to drive business growth if it can be implemented strategically and early enough. For organizations to benefit from the advantages that ML will bring – and compete on a level playing field with competitors – they will have to skill up their workforce quickly and comprehensively, and maintain a strong training program for data science skills.