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Key Pharmaceutical Use Cases for Embracing AI

Dataiku

According to a survey of 1,200 global companies sponsored by Dataiku in September 2020, 66% of life sciences or pharmaceutical organizations believe AI is either considerably or very important to the future of their business. This goes to show the immense potential that AI and machine learning have in the pharmaceutical industry.

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Machine Learning Use Cases in Healthcare

Exadel

Decades ago, it would have been hard to see how AI and Machine Learning (ML) could have been applied in healthcare. There are real use cases that show how physicians can deliver better patient outcomes using these exciting technologies. developing new pharmaceuticals. developing new pharmaceuticals.

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The ‘Great Retraining’: IT upskills for the future

CIO

When the timing was right, Chavarin honed her skills to do training and coaching work and eventually got her first taste of technology as a member of Synchrony’s intelligent virtual assistant (IVA) team, writing human responses to the text-based questions posed to chatbots.

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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

Technology has proven important in maintaining the healthcare industry’s resilience in the face of so many obstacles. The healthcare business has embraced numerous technology-based solutions to increase productivity and streamline clinical procedures. The intelligence generated via Machine Learning.

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Machine learning development for business

InfoBest

Some companies have gone in at full speed and revamped themselves with technology. Machine learning development. In the case of companies looking to improve their workflows and to become more digital it is usually machine learning development, a branch of A.I. The value of machine learning development for business.

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RxAll grabs $3.15M to scale its drug checking and counterfeiting tech across Africa

TechCrunch

Some technologies have helped deal with this menace; for instance, radio frequency identification, which works by assigning serial numbers to containers of each product. More modern approaches are being adopted these days, which is the case of RxAll , a startup using deep technology to provide quality medication to patients.

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What is predictive analytics? Transforming data into future insights

CIO

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. Energy: Forecast long-term price and demand ratios.

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