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Four Big Data Trends that Will Shape 2019

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Big Data Trends 2019

Big Data Trends 2019

Big Data Trends 2019- The last decade has seen a massive improvement in the accessibility of data, enabling numerous generations of technology to move forward and help in various decision-making of global business heads. Big Data has now become a huge part of business intelligence. Companies both large and small are always on the lookout for new research tools that will help improve their utilization of Big Data. 2019 is going to be a year where there will be many trends that will impact the global economy to a great extent. Here are some of the Big Data trends that you need to keep an eye on in 2019:

 

1.    Quantum computing

It will be a race among the top tech giants such as Google, IBM, Intel, and Microsoft to build the first ever quantum computer. This will enable unlimited weather prediction, improve data encryption, and assist in better financial modeling, among other things. Experts are of the opinion that it is going to be the biggest Big Data trend that everyone should be aware of in 2019. Organizations will be able to develop multiple quantum computing components, software tools and applications, and algorithms based on the Big Data cloud services.

 

2.    Predictive analytics

Cross-sell opportunities and customer response has become two main factors that are driving companies forward. Big Data and predictive analytics have played a crucial role here because both these technologies have helped in the integration of several domains such as retailing, automotive, cryptocurrency, pharmaceuticals, hospitality, manufacturing, healthcare, and finance industries. One of the most interesting applications is seen in the world of cryptocurrencies, with trading platforms like Crypto Code using predictive analytics to help investors get an idea of how the market is going to play.

 

3.    AI platforms

Artificial Intelligence will continue to rule the tech world just like it did in 2018, but the emphasis will be on how different AI platforms use and process Big Data to improve efficiency and speed up the gathering of business intelligence. The connection between Big Data and the different layers of AI platforms such as The Experience Layer, The Intelligence Layer, The Operations & Deployment Layer, The Experimentation Layer, and The Data & Integration Layer will play a significant role in automating time-consuming tasks as well as simplifying sophisticated processes. There is a focus on how AI platforms perform time-consuming activities like data processing and data copying because that will involve a major portion of Big Data.

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Article Credit: Capecodtoday

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