The 'Displayr' Data Science Platform is Impressive
Michael Hemsworth — May 13, 2017 — Tech
Scientific data can be somewhat abstract to convey or explain, so the 'Displayr' data science platform aims to make it possible for researchers, students and educational professionals to do so in a simplified manner.
'Displayr' works by taking data and creating visualizations that can be used in dashboards and reports in order to convey findings to team members. The cloud-based 'Displayr' app enables users to be able to access things anywhere they are and continue working without having to feel restricted by not being on their own system.
The 'Displayr' data science platform is capable of interpreting and displaying a multitude of different kinds of data to create simple tables and even advanced machine learning information that can be somewhat complex to convey.
'Displayr' works by taking data and creating visualizations that can be used in dashboards and reports in order to convey findings to team members. The cloud-based 'Displayr' app enables users to be able to access things anywhere they are and continue working without having to feel restricted by not being on their own system.
The 'Displayr' data science platform is capable of interpreting and displaying a multitude of different kinds of data to create simple tables and even advanced machine learning information that can be somewhat complex to convey.
Trend Themes
1. Cloud-based Scientific Data Visualization - There is an opportunity to develop cloud-based platforms that can simplify and democratize the way scientific data is visualized and accessed.
2. Machine Learning-powered Visualization - There is an opportunity to develop platforms powered by machine learning algorithms that can optimize the way scientific data is visualized and analyzed.
3. Interactive Data Sharing and Collaboration - There is an opportunity to develop interactive platforms that can enable collaboration and data sharing among researchers, scientists, and educational professionals around the world.
Industry Implications
1. Data Analytics - There is an opportunity for businesses in the data analytics industry to develop cloud-based data visualization solutions that can streamline and enhance their visual analysis processes.
2. Education Technology - There is an opportunity for businesses in the education technology industry to develop machine learning-powered platforms that can leverage scientific data to deliver personalized and engaging learning experiences.
3. Research and Development - There is an opportunity for businesses in the research and development industry to develop interactive and collaborative platforms that can accelerate the pace of scientific discovery and innovation.
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