Systems and real-time data analysis will be in businesses of any kind.

Enterprises and the companies are using streaming analytics tools like Spark, Apache Kafka to manage their data infrastructure.

JavaScript will shortly take full care and custody of Big Data visualization. We mostly rely on R, Python and Java today. But changes are coming along the need for the simplicity and web availability.

 Data-Scientists have already pointed that more and more open source project appears to be developed in web languages. Thus, Big Data science will be adapted to JavaScript.

Artificial Intelligence are getting something to think about

“Big Data will cause the new shift in AI technologies” - An unanimous claim from  Google scientists.

Scientists are expecting widespread implementation of software-based on smart machines, personal assistants, smart advisors and autonomous vehicles.

Just think about the following:

·         Toyota have invested as much as one billion dollars in five-years of AI development project.

·         General Motors are spending $500 million on autonomous driving research.

In the future  data processing tasks will rely on:

·         Machine learning;

·         Natural language processing;

·         Property graphs.

Intercorporate customer data exchange

Enterprises are merging customer data on a world level, savings billions of dollars.

Businesses and startups are trading data for benefits. You can also see the process of corporate data symbiosis, as it evolves in its natural habitat.

For example: IBM has put the stats together from Pacific Gas and Electric company, Honda, and the local climate data. As a result, they have spotted out the best places for the car charging points.

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