Today, organisations face multiple challenges on all fronts as far as dealing with a dynamic environment is concerned. While technology creates powerful business opportunities, it also creates skills gaps. In a world of AI and ML, keeping up with the pace of technological advancements is a challenge and therefore a need for more specialised skill-sets arises. The concept of “re-skilling and up-skilling” has, therefore, become central to sustaining momentum—both from the perspective of organisations and workforce.
NASSCOM says the industry is witnessing an increasing demand for services using new technologies, such as Artificial Intelligence (AI), Internet of Things (IoT), Machine Learning and Big Data Analytics. Therefore, varied aspects of data science is what most organisations would want their employees to be re-skilled on
In such a scenario what does a data science and analytics organisation like ours do about employee training? We are challenged all the time.
Therefore, as an organisation, we have decided to conduct a couple of training sessions in a week on topics requested by the employees. The topics are covered from both the technical and application point of view. Emphasis is laid on making the session participatory where in employees to hold discussions with the trainers – researchers, analysts, data engineers, and more.
With multi-disciplinary professionals as trainers, the training sessions end with participants gaining a thorough knowledge of the topic with respect to a particular domain helping them implement the learnings in their regular work.
