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Drug Discovery Needs AI To Discover More Treatments

Smart Data Collective

At first glance, artificial intelligence may feel like a step away from our humanity. Artificial intelligence can help us take better care of those we’ve left behind. In time, it will also help us balance the financial realities of the pharmaceutical industry with the moral imperative to render aid where needed.

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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

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Big Data Will Become Central to Healthcare Following The Pandemic

Smart Data Collective

With the sheer volume of information that patients are capable of producing and the heightened emphasis on the industry in the wake of the COVID-19 pandemic , big data may yet develop into one of the most significant tools in maintaining the health of individuals and even anticipating the emergence of conditions that are yet to manifest in patients.

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Automating Vendor Management in Pharmaceuticals: How Automated Contract Data Extraction Drives Efficiency 

Astera

The pharmaceutical industry is one of the most regulated industries globally, with vendors playing a critical role in the manufacturing process of pharmaceutical products. Pharmaceutical companies must manage their vendors effectively to overcome the challenges they face.

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Decision Intelligence: What It Is and Why You Need It

Domo

You discover what Gartner calls decision intelligence , which enables your teams to take definitive action that leads to optimal business outcomes. Taking intelligent action on your data. As a result, “decision intelligence technology and people each do what they do best,” PCMag.com ’s Pam Baker wrote in April 2021.

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Top 17 Real-Life Predictive Analytics Use Cases

Marutitech

Key Industries : Banking, Pharmaceutical, Automotive, Retail, Insurance, Telecommunications, Utilities. 4. Key Industries : Pharmaceutical, Manufacturing, Automotive, Logistics and Transportation, Utilities. 8. Key Industries : Pharmaceutical, Education, Retail, Telecommunications, Insurance, Entertainment. 10.

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AI and Real-World Evidence (RWE): Extracting Insights from Real-World Health Data 

Astera

This valuable resource is derived from real-world data (RWD), encompassing diverse sources like electronic health records (EHRs), claims data, patient-generated data, as well as information from mobile health apps and wearable devices. AI enables practitioners to extract meaningful insights from RWE by analyzing large and complex datasets.