The power of using data to predict health outcomes
In healthcare, predictive analytics has many valuable, life-saving applications taht bring about greater operational efficiency and accurate diagnosis and treatment.
Leading the way in innovation for over 50 years, we build greater futures for businesses across multiple industries and 131 countries.
Our expert, committed team put our shared beliefs into action – every day. Together, we combine innovation and collective knowledge to create the extraordinary.
We share news, insights, analysis and research – tailored to your unique interests – to help you deepen your knowledge and impact.
At TCS, we believe exceptional work begins with hiring, celebrating and nurturing the best people — from all walks of life.
Building a data fabric for transformative tech begins with keeping your data lean and clean
You have these already downloaded
We have sent you a copy of the report to your email again.
01.
02.
In healthcare, predictive analytics has many valuable, life-saving applications taht bring about greater operational efficiency and accurate diagnosis and treatment.
Rapid growth and increasing complexity in the crypto space have led to the rise of several AI-enabled data-analytics platforms to make crypto investing simple for investors.
Machine learning and automation has improved the efficiency of fintech employees. Data can be analyzed to yield precious insights. These advances have helped fintech companies make significant progress. Yet another area in which AI and data analytics have significantly contributed is fraud detection and prevention.
While Big Data has been vigorously used in the past years to convert data into a visually immersive format, its popularity is declining. Companies are steadily shifting towards small and wide data analytics for understanding data and making informed decisions.
In healthcare, predictive analytics has many valuable, life-saving applications taht bring about greater operational efficiency and accurate diagnosis and treatment.
Rapid growth and increasing complexity in the crypto space have led to the rise of several AI-enabled data-analytics platforms to make crypto investing simple for investors.
Machine learning and automation has improved the efficiency of fintech employees. Data can be analyzed to yield precious insights. These advances have helped fintech companies make significant progress. Yet another area in which AI and data analytics have significantly contributed is fraud detection and prevention.
While Big Data has been vigorously used in the past years to convert data into a visually immersive format, its popularity is declining. Companies are steadily shifting towards small and wide data analytics for understanding data and making informed decisions.
ex-EVP, Gartner Research