The science of storing, extracting, analyzing, visualizing, and using data to drive solutions commonly known today as Data Science has transformed the world as we know it. How is Data Science different? What makes this faculty so crucial for institutions and businesses today?
The More The Merrier!
With the aid of 5G networks and IoT devices, worldwide internet penetration will continue to surge. One estimation revealed that, in January 2019, there were more than one million new users every day, which now is a known historical fact. Naturally, it translated to a greater amount of data generated daily. (Cybersecurity Ventures, Data Report)
With an exponential rise in the generation and collection of data, every day, we create roughly 2.5 quintillion bytes of data. With the growing popularity of IoT (Internet of Things), this data creation rate will become even more significant.
With the aid of 5G networks and IoT devices, worldwide internet penetration will continue to surge. One estimation revealed that, in January 2019, there were more than one million new users every day, which now is a known historical fact. Naturally, it translated to a greater amount of data generated daily. (Cybersecurity Ventures, Data Report)
"You can't manage what you don't measure"
With the abundance of data, traditional Business Intelligence supported by data-driven insights is undoubtedly the way forward. A data-driven solution makes it easy to adapt to the dynamics of the ever-changing requirements of a constantly evolving environment as compared to the traditional approach.
The EV-dominating brand Tesla holds its crown for some of the best data-driven solutions a car can offer!
Spotify - can tell users if they discovered popular music ‘before it was cool’
Data-driven approaches make strategic decisions based on data analysis and interpretation. With a data-driven approach, the data collected serves to contextualize the trend better and generate solutions. The recommendations you see on your favorite shopping website or sales/inventory predictions made by an organization are usually data-driven.
What’s in Store for the Future?
Machine Learning Systems that are able to learn and adapt without following explicit instructions by using algorithms and statistical models to analyze and draw inferences from patterns in data have been the talk of the town. These entities learn from data and show ever-increasing accuracy with more data flowing in.
Machine Learning & Artificial Intelligence are making breakthroughs that no one could’ve predicted. With Data science being so prominent in our lives today, it’s hard to imagine a future without it. The future clearly indicates the increased application of ML & AI across various industry verticals. By 2022, 75% of new end-user solutions leveraging AI and ML techniques will be built with commercials instead of open-source platforms.
With a dedicated program for data science, Everestek is equipped with a state of art data science infrastructure.
A dedicated cross-functional data science team with a ton of experience across faculties such as Machine Learning, Data Engineering, Business Analysis, DevOps, and many more.
Experts that provide accurate solutions with a roadmap utilizing agile methodology before embarking on the journey with Proof of Concept run on a definitive use case.
Keeping track of data ethics we build models that do not violate data collection, analysis, and interpretation ethics, making sure data is best utilized and secure.
Scheduled reports to demonstrate our efforts in delivering adequate results with Key Performance Indicators (KPIs) for stakeholders which enable data scientists to work with people and not just data.
Machine Learning Systems that are able to learn and adapt without following explicit instructions by using algorithms and statistical models to analyze and draw inferences from patterns in data have been the talk of the town. These entities learn from data and show ever-increasing accuracy with more data flowing in.
Machine learning solutions have already outperformed humans in domains such as object recognition, predictions, and more.
Machine Learning & Artificial Intelligence are making breakthroughs that no one could’ve predicted. With Data science being so prominent in our lives today, it’s hard to imagine a future without it. The future clearly indicates the increased application of ML & AI across various industry verticals. By 2022, 75% of new end-user solutions leveraging AI and ML techniques will be built with commercials instead of open-source platforms.
Data Science at Everestek.
With a dedicated program for data science, Everestek is equipped with a state of art data science infrastructure.
A dedicated cross-functional data science team with a ton of experience across faculties such as Machine Learning, Data Engineering, Business Analysis, DevOps, and many more.
Experts that provide accurate solutions with a roadmap utilizing agile methodology before embarking on the journey with Proof of Concept run on a definitive use case.
Keeping track of data ethics we build models that do not violate data collection, analysis, and interpretation ethics, making sure data is best utilized and secure.
Scheduled reports to demonstrate our efforts in delivering adequate results with Key Performance Indicators (KPIs) for stakeholders which enable data scientists to work with people and not just data.
