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Understanding future of agentic AI in pharma: QnA with Puneet Kacker

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  “In a world of talkers, be a thinker and a doer.” The difference between  generative AI and agentic AI  can be rightly explained by this quote. While gen AI is like a thinker helping you ideate and create, agentic AI is both a thinker and a doer. In fact, it goes one step further by initiating and completing tasks and taking decisions autonomously. In the pharma and life sciences industry, this capability plays a key role than one might think of. Imagine using a tool that not only researches but also manages complex workflows. To get more clarity on agentic AI, we spoke with Puneet Kacker, an industry expert and passionate advocate for innovation. He is actively involved in promoting the use of advanced  AI technologies in pharma, healthcare, and life sciences , and in driving better and faster solutions to the world. We gained valuable insights into how this next-generation technology is transforming the pharmaceutical industry and how we can work using it to achi...
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Big Pharma Data introduces new opportunities to pharma industry

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  We now live in an information-driven world where approximately 2.5 quintillion bytes of data is produced, the same for  pharma data . These data are available both in a structured and unstructured format. Data analytics in the pharmaceutical industry help them grow and get new opportunities. So, to figure out this information is the most recent interest of any information researcher.  Why is there a need for   pharma analytics ? The introduction of  predictive analytics in the pharmaceutical industry  smoothed out complex processes and increased the productivity of interaction. Consequently, different financial backers from the medical services and pharma space have put around $4.7 billion in data analytics. This information can be verifiable or constant and can emerge from sources like online media, Sensors, log records, and patient enrolment. Assistance will help to recognize data patterns which in return help to settle on information-driven choic...
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