Top 5 Data Science Trends To Watch In 2019

1.Regulatory Schemes:

It can be reasonably expected that more data regulatory Schemes will follow in 2019. Data regulatory Events like for example GDPR (European Generate Data Protection Regulation), which was enforced on may,2018 regulated data science practice by setting certain boundaries and limits on collection and management of personal data. such regulatory activities will hugely impact future predictive models and different analytic exercise.

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2.Artificial Intelligence And Intelligent Apps :

The buzz created by AI is unlikely to die down in the coming year. we are in the nascent and initial stage of AI, and the Following year will see the more advanced application of AI in all the fields AI will still remain a challenge .more intelligent apps will be developed using AI.

3.Virtual Representations Of Real World Objects And Real-Time Innovations :

These technologies will be used to solve real live business problems across companies all over the world. The piece of real-time innovations will also accelerate with advanced technologies.

4.Edge computing :

With further growth of IoT, edge computing will increasingly become popular .with thousands of devices and sensors collecting data for analysis, By 2020, new cloud pricing models will service sepecific analytics workloads, contributing to 5x higher spending growth on cloud vs .on premises analytics.

5.BlockChain :

The blockchain is a major technology that underlies cryptocurrencies like bitcoin. It is a highly secured ledger and has a variety of applications. It can be used to record a large number of detailed transactions. New security measures and processes emulating the blockchain technology can appear in the coming year.