{"id":204150,"date":"2022-07-18T10:00:00","date_gmt":"2022-07-18T08:00:00","guid":{"rendered":"https:\/\/www.bluenovius.com\/?p=204150"},"modified":"2022-10-24T16:24:16","modified_gmt":"2022-10-24T14:24:16","slug":"what-is-machine-learning-and-how-can-it-benefit-pharma-reps","status":"publish","type":"post","link":"https:\/\/www.bluenovius.com\/pharma-marketing-trends\/what-is-machine-learning-and-how-can-it-benefit-pharma-reps\/","title":{"rendered":"What is Machine Learning and How Can it Benefit Pharma Reps?"},"content":{"rendered":"\n
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\"What<\/a><\/figure>\n\n\n\n
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In a way, machine learning is a consequence of the evolution of AI. The latter element is growing in more than one direction. More than one business area is taking advantage of the benefits of artificial intelligence. Yet what kind of impact can this have on pharma? Let\u2019s have a look at the possibilities.<\/p>\n\n\n\n

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What is Machine Learning?<\/strong><\/h2>\n\n\n\n
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For many people online, \u201cMachine Learning\u201d may sound more like a buzzword<\/a><\/strong>. This notion started spreading around as the idea of \u201cbig data\u201d started to become a topic. <\/p>\n\n\n\n

We\u2019re entering an era in which many activities will be driven by the data that they are \u201cfed\u201d. In this sense, the computer can mimic some logical and human actions. <\/p>\n\n\n\n

All this is based on observations and real-world interactions. What AI allows in this scenario is the ability to learn and improve from experience automatically. All this with minimal programming.<\/p>\n\n\n\n

In the case of machine learning, when you give computer systems access to great amounts of data, this technology can learn from itself. What the machine does is look for patterns within the data to make future decisions<\/a><\/strong>.<\/p>\n\n\n\n

This is driven by various processes of data observation<\/a><\/strong>. After processing the data, the goal is to generate an automatic process<\/a><\/strong> with little to no human intervention.<\/p>\n\n\n\n

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The main catch of Machine Learning for Pharma<\/strong><\/h3>\n\n\n\n
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Many business categories are adopting new technologies<\/a><\/strong> in an era defined by big data. In fact, many actions are driven by analytics and technology, through this very same data.<\/p>\n\n\n\n

In pharma, like many business areas, the possibilities are more and more varied. Moreover, healthcare as a whole has data generated from a variety of sources. Among them, we can name the R&D process itself, along with other players in the sector such as retailers, patients, and caregivers.<\/p>\n\n\n\n

There are many possibilities for pharma through the implementation of the model of machine learning<\/a><\/strong>. Among them, we can point to possibilities such as:<\/p>\n\n\n\n

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