Data in pharma industry includes electronic health records, biomedical signal data, patient statistics, imaging data, discovery related literature, experimental data, genomic data, proteomic data, and records on clinical studies.
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Having lived in India ten years ago, I was very happy when I got the opportunity to come back albeit in a different role this time. India has come to be a second home to me and my family. Among the many things we like about this country is its culture steeped in centuries of history and legends. I find the legends part especially fascinating.
There was this one particular story that caught my attention—the churning of the ocean, when the devas and asuras got together in their quest for the nectar of immortality. Believe it or not, today’s pharma companies are staring into an ocean of another kind—an ocean of data that’s all around us. The big question is can we churn this ocean to extract insights that may not yield immortality but at least help us find new ways to improve and extend lives? Well, the exploration has begun.
Data in pharma industry includes electronic health records, biomedical signal data, patient statistics, imaging data, discovery related literature, experimental data, genomic data, proteomic data, and records on clinical studies. Development of drugs involves generation of lot of data such as clinical trial data, trial operational data and finally business involves competitor data, sales and other medium of business data.
However, this abundant data is of no use if we don’t mine it to extract insights. The value of data can only be realised if we leverage data technologies such Artificial Intelligence (AI). AI has become the game changer, transforming many industries over the last two decades. The technology companies today completely rely on data for garnering insights and making products driven by AI for competitive advantage, improving customer experience and entering new markets. Can it work its miracle in the pharma industry as well?
However, this abundant data is of no use if we don’t mine it to extract insights. The value of data can only be realised if we leverage data technologies such Artificial Intelligence (AI). AI has become the game changer, transforming many industries over the last two decades. The technology companies today completely rely on data for garnering insights and making products driven by AI for competitive advantage, improving customer experience and entering new markets. Can it work its miracle in the pharma industry as well?
However, this abundant data is of no use if we don’t mine it to extract insights. The value of data can only be realised if we leverage data technologies such Artificial Intelligence (AI).[…]
read more – copyright by www.financialexpress.com
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Data in pharma industry includes electronic health records, biomedical signal data, patient statistics, imaging data, discovery related literature, experimental data, genomic data, proteomic data, and records on clinical studies.
copyright by www.financialexpress.com
There was this one particular story that caught my attention—the churning of the ocean, when the devas and asuras got together in their quest for the nectar of immortality. Believe it or not, today’s pharma companies are staring into an ocean of another kind—an ocean of data that’s all around us. The big question is can we churn this ocean to extract insights that may not yield immortality but at least help us find new ways to improve and extend lives? Well, the exploration has begun.
Data in pharma industry includes electronic health records, biomedical signal data, patient statistics, imaging data, discovery related literature, experimental data, genomic data, proteomic data, and records on clinical studies. Development of drugs involves generation of lot of data such as clinical trial data, trial operational data and finally business involves competitor data, sales and other medium of business data.
However, this abundant data is of no use if we don’t mine it to extract insights. The value of data can only be realised if we leverage data technologies such Artificial Intelligence (AI). AI has become the game changer, transforming many industries over the last two decades. The technology companies today completely rely on data for garnering insights and making products driven by AI for competitive advantage, improving customer experience and entering new markets. Can it work its miracle in the pharma industry as well?
However, this abundant data is of no use if we don’t mine it to extract insights. The value of data can only be realised if we leverage data technologies such Artificial Intelligence (AI). AI has become the game changer, transforming many industries over the last two decades. The technology companies today completely rely on data for garnering insights and making products driven by AI for competitive advantage, improving customer experience and entering new markets. Can it work its miracle in the pharma industry as well?
However, this abundant data is of no use if we don’t mine it to extract insights. The value of data can only be realised if we leverage data technologies such Artificial Intelligence (AI).[…]
read more – copyright by www.financialexpress.com
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
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