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End of the year is the time to review the year gone by or try to foresee the trends for the coming year. Data Science as an umbrella discipline and practice is making waves. Data Science covers an array of connected topics including Deep Learning, IoT, AI etc. “It is a comprehensive amalgamation of data inference, analysis, algorithm computation and technology to solve multifaceted business problems.” Today, Data Scientists are the most sought after and highest paid digital professionals. Let’s unravel the Data Science trends for 2019.

The first trend for the first time is non-technical in nature with immense technical connotation. The Cambridge Analytica and GDPR have been biggest data stories of the current year, one being the nefarious type and the other on the legal proactive type. With huge quantum of data being generated, it is imperative that data security would become more important in 2019. So there is likelihood of more data regulatory mechanisms would legally be put in place. This includes the proposed date protection act in India. Such regulatory activities may have an adverse impact on creation of future predictive models and also future analytic models. But the sophisticated cyber attacks would push the powers that be towards a stringent data protection regime. “So many more new protocols and procedures to secure data are likely emerge in 2019.”

In the year to come automated machine learning will become commonplace, which is likely to transform data science with better data management. There is likelihood that ML and neural network design will be increasingly used in large number of applications. Augmented Reality (AR) and virtual reality (VR) are already making massive transformation, which will intensify in the coming year. Man machine interaction is bound to improve.

Besides, AR & VR, with the growth of IoT, edge computing will for sure become more popular. Data processing close to the source of origin would be the natural choice. The regular bottlenecks of bandwidth, connectivity and latency can be in a way be bypassed through this. Edge computing on cloud will the next service oriented model. IDC predicts, “By 2020, new cloud pricing models with service specific analytics workloads, contributing to 5x higher spending on cloud vs on-premises analytics.”


Sanjay Sahay

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