• Phone +91 (40) 2311 9633
  • info@athenagt.com

Category: Data Science

Our data scientists facilitate frictionless and rapid call to actions to design models that can bring “art of the possible” solutioning to your business.

What makes the Data Science improvements for Cybersecurity remarkable?

by Athena Team on January 18, 2019

Companies across the globe are trying to make the most out of data science advancements. They are also successful in creating data-driven ecosystems and obtaining valuable business insights through data science, which yields tangible benefits. Standout technologies like the Internet of Things, Artificial Intelligence, Machine Learning, and Robotic Process Automation create a complex integrated network.Continue Reading

6 Data Science Use Cases in Healthcare

by Athena Team on December 21, 2018

Since there are multiple sources to collect healthcare information, data science can be utilized efficiently to yield better advancements in the healthcare industry, through appropriate decision making. Data gathered from patient behaviour, proven care methods, response and other information can provide insights to improve operations in this patient-oriented industry. Let’s discuss a few major useContinue Reading

Top 8 Data Science Use Cases: Big Data Applied the Most

by Athena Team on September 29, 2018

The volume of data is growing and the pace of this growth is stimulating rigorously. Thanks to this digital transformation era, log files, sensor data etc. have dramatically evolved with giving ways to futuristic sources. Data science is capable of bringing in mammoth-sized data along with velocity which far transcends the stereotypical data warehousing accesses.Continue Reading

Disruptive Data Science Being Unleashed by Three Technology Trends

by Athena Team on July 3, 2018

Disruptive data science has the potential to transform any enterprise into a big data-driven enterprise. The future-proof digital transformation introduces you to endless possibilities of business opportunities through data and analytics. In order to make this pragmatic transition to digital enterprise happen, the chief information officers, chief data officers, and data & analytics leaders willContinue Reading