INDIAN CORPORATE TRA INING INDUSTRY – TECHNOLOGIES IN DEMAND The Indian economy is the fasted growing economy globally with the GDP growth rate of approx. 7% and the trend is going to continue for the next couple of decades. Also, recently, our honorable Prime minster shared his view on how Skill development is going to drive our growth engine. The World sees us as a knowledge power. At the organizational level, there’s been a growth of 14% in hiring for 2016. Organizations PAN India have added approx. 1.2 lacs employees on their pay roll. And we will see the similar growth trend in the year 2017. So the counter question is- Are we hiring enough skilled resources? Do the companies have a plan in place on how to upgrade their employee’s skills as per market demands? When I ask corporates about their learning and development plans, budget spending on skills development, I always get the feeling that for them it’s like “TRAINING IS GOOD TO HAVE BUT NOT A MUST”. The organization which understands the importance of training knows and sees training as not just a tool for employee skills upgradation but also a medium for developing strategic initiatives to streamline business goals. Having said that, market for corporate training has witnessed a positive technological advance which has significantly altered training methodology across organizations. E-learning mode of training has giving the learner the flexibility. So geography will not be a constraint going forward. . Mobile learning will take the center stage in India now. This was rarely used as a training tool in the past due to connectivity and bandwidth issues in India. Industries are going to invest more in infrastructure to make the learning more convenient and cost effective. Learning technologies such as self-authored video, online channels, virtual classroom learning, will have an exponential rise in the near future. Technologies which are going to rule the world and drive the productivity for at least a decade:1. Big Data : Data Ingestion and Analysis , the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. 2. Machine learning and Data Sciences : Art of supervised or unsupervised Learning , to perform exploratory data analysis (EDA), develop machine learning pipelines, and use the APIs and
algorithms, or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, machine learning, data mining, and predictive analytics. 3. IoT ( Internet of a thing): is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction
Published on Feb 16, 2017
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