Remove precision-medicine
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5 steps to move AI beyond buzzwords to deliver true transformative impact

CIO

In this blog post, I will share five actions you can take to move beyond the buzzwords and make your AI-driven digital transformation a reality that will shape your organization’s future. Until now, a comprehensive list of AI and ML use cases that serve as meaningful references for business leaders simply did not exist.

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Sano Genetics, a startup helping with Long Covid research, raises £2.5M in seed funding

TechCrunch

Sano Genetics , a startup with a broad mission to support personalised medicine research by increasing participation in clinical trials, has raised £2.5 In particular for research involving genetics and precision therapies, it is doubly challenging to find the ‘right’ patients because genetic testing is not routine in the healthcare system”.

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The 4th Industrial Revolution: Digitally Transformed Workloads

Dell EMC

This blog was co-authored with Bright Computing Increasingly, engineers and infrastructure administrators are looking for workload agility. But what exactly is workload agility? First, let’s define workload. Workloads are the computing tasks that employees initiate on systems to complete their companies’ missions.

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How to Ensure Supply Chain Security for AI Applications

Cloudera

Its transformative impact advances multiple fields from genetics to medicine to finance. With this approach, our customers can rely on the ActiveState Platform to manufacture the precise Python components they need, eliminating the need to blindly trust community-built wheels.

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Tips and Tricks To Create A Telehealth App Like Practo

Xicom

And, adhering to it, the advancements in technology have developed all in one solution for reaching doctors on demand, health insurance, health diagnosis and tips, online medicine delivery, and the list goes on. In this high demanding time, online doctor search and medicine ordering platforms like Practo are gaining momentum.

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What is the Importance of Machine Learning?

Openxcell

In this blog, you will find out the importance of Machine Learning and how it is changing the environment around us. Uses for Machine Learning in various applications are expansive, including medicine, email filtering, speech recognition, agriculture, and computer vision. Read our blog, Apps That Learn: Machine Learning.

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Overview of how Apache Spark fits in the Apache Hadoop ecosystem

CTOvision

In August 2016 Sean Anderson posted some strategic context on how Apache Spark fits in the overall Apache Hadoop framework at the Cloudera Vision blog. These use cases are applicable to domains like operational efficiency in solutions involving the Internet of Things and the Industrial Internet of Things, as well as precision medicine.