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Startup Spotlight: Leap Metrics Champions Data-Driven Healthcare 

Snowflake

In this edition, learn how Srini Gorty, Founder and CEO of Leap Metrics, turned his first-hand experience with healthcare data difficulties into a passion for making healthcare data an active, vital piece of every patient and provider interaction. What’s the coolest thing you’re doing with data?

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The Sprint towards Digital Healthcare

Cloudera

The pandemic changed our healthcare behaviors. As healthcare providers and insurers /payers worked through mass amounts of new data, our health insurance practice was there to help. In some cases the device automatically uploaded results and pinged a healthcare provider if the measurements indicated an urgent need.

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Mainframe Data Meets AI: Reducing Bias and Enhancing Predictive Power

Precisely

The Importance of Mainframe Data in the AI Landscape For decades, mainframes have been the backbone of enterprise IT systems, especially in industries such as banking, insurance, healthcare, and government. Inclusion of Underrepresented Groups Bias in AI often results from the underrepresentation of certain groups in the training data.

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Accelerating Academic Medical Research with an AI-Driven Data Strategy

Snowflake

Academic medical centers (AMCs) are a critical keystone of healthcare systems worldwide. They also educate and train the next generation of healthcare professionals, ensuring that the medical field continues to advance. At the same time, there’s no shortage of opportunities for AMCs to grow as the healthcare industry expands.

Medical 98
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3 Ways AI, ML, and Predictive Analytics Can Help Solve the Nursing Crisis

Snowflake

These alarming trends have healthcare systems on red alert. And the American Association of Colleges of Nursing expects the scarcity to worsen as baby boomers age and the need for healthcare grows. To do so, they can develop a data model that uses AI with ML capabilities to produce predictive analytics. years to 2.8

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Most Common Use Cases of Data Engineering in Healthcare

phData: Data Engineering

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. However, data collection and analysis have been commonplace in the healthcare sector for ages. The use of deep learning and machine learning in healthcare is also increasing.

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Driving Innovation and Efficiency with Gen AI in Life Sciences

Snowflake

Gen AI analyzes massive amounts of data from various sources, such as market research, sales data, regulatory documents and healthcare databases, to optimize sales and distribution processes and ensure successful product launches. Should you build or buy a gen AI solution?