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.
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01.
Conversational AI and data analytics are bringing businesses closer to their customers – it’s a win–win.
02.
Data Analytics skills are in top demand, irrespective of market conditions, say recruiters. This trend will continue.
03.
92% organizations are growing their data and AI capabilities; but only 19% feel they are truly data driven. Who’s addressing this disconnect?
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.
Global big data market size by 2028 in billion - Fortune Business Insights
Global Data Analytics Outsourcing Market size by 2027 in million - Business wire
Data analytics initiatives as essential business capabilities by 2025 - Forbes
organizations will host analysts focusing on decision intelligence - Gartner
Swipe LeftSwipe RightInformation is the oil of the 21st century, and analytics is the combustion engine.
PETER SONDERGAARD
ex-EVP, Gartner Research
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