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All too often companies have only the vaguest idea about what kind of data they’re holding; because such data is very often hidden deeply away in a variety of databases and fragmented across different departments. We identify this data and bring it to light, making it visible, cohesive, comparable and easy to understand so that it really does support YOU in making the right decisions. And if need be, we can also identify any lacking data and define a concept to fill in the gap.

Learning begins at home: the internal training initiative at JSM

Posted by on Jan 5, 2018 in JSMNews | No Comments

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.

Venugopala Rao Manneni

A doctor in statistics from Osmania University. I have been working in the fields of data analysis and research for the last 14 years. My expertise is in data mining and machine learning – in these fields I’ve also published papers. I love to play cricket and badminton.

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