Data science provides businesses with advanced tools and technologies that allow them to automate complicated business processes linked with extracting, analyzing, and presenting raw data. With so much happening in the technical field, and the data being generated at a rapid speed, it is crucial to know about the latest as well as the upcoming trends in data science.

1. DATA SCIENCE
TOP 5
TRENDS FOR 2020

2. Data science provides businesses with advanced tools and
technologies that allow them to automate complicated
business processes linked with extracting, analyzing, and
presenting raw data.
With so much happening in the technical field, and the data
being generated at a rapid speed, it is crucial to know about
the latest as well as the upcoming trends in data science.
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3. In 2020, we will see more advanced applications
of AI in all fields.
The reason AI is growing rapidly is that it allows
enterprises to improve their overall business
processes, and provides a better way of handling
both customer and client’s data.
We will find more advanced apps developed with
AI, Machine learning, and other technologies that
can improve the way we work.
Access to Artificial Intelligence
and intelligent apps
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4. According to a report by IDC, it is expected that
the investment in IoT technology would reach $1
trillion by the end of 2020, which clearly clarifies
the growth of smart and connected devices.
If you have ever come across smart devices like
Google Assistant or Microsoft Cortana that allow
us to automate the regular things.
This will encourage businesses to invest in this
technology, especially in smartphone
development, that uses IoT the most.
Rapid growth in the IoT
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5. When it comes to data science, we simply cannot
ignore Big Data analysis, which helps businesses
gain a competitive edge over data and achieve
their objectives.
For instance, predictive analysis helps you identify
the interests of your customers by their purchase
or browsing history.
Depending on that, you will be able to create
smarter strategies to target new customers and
retain the current one.
Evolution of Big data analytics
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6. With the growth of IoT, Edge computing will take
over mainstream cloud systems.
Edge computing allows businesses to store
streaming data close to the data sources so that
they can be analyzed in real-time.
Moreover, it offers a great alternative to Big Data
analytics that require high-end storage devices
and higher network bandwidth.
Edge Computing will be on the rise
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7. The adoption of artificial intelligence and machine
learning will give rise to many new roles in the
industry.
One role that will be highly in demand is data
science security professionals.
As both AI and ML entirely depends on data, and
to process this data efficiently, data scientists
must have expertise in data science as well as
command over computer science.
Demand for Data science
Security Professionals
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