Snowflake

JANUARY 25, 2024

And the potential impacts of artificial intelligence (AI) on the healthcare and life sciences industries are expected to be far-reaching. However, the volume and breadth of sensitive, regulated data that healthcare and life sciences organizations collect, create and manage represents a major challenge.

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KDnuggets

SEPTEMBER 25, 2024

Disease risk prediction is a cornerstone of preventative healthcare. It is used to provide guidelines for clinicians to follow to identify their most at-risk patients and provide guidance to reduce risk. Effective predictions allow for early intervention, personalized treatments, and improved outcomes.

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Healthcare Machine Learning IT 24

WeCloudData

MARCH 12, 2025

Like many other industries, NLP has also revolutionized the life sciences and healthcare. To learn more about how […] The post Natural Language Processing in Healthcare appeared first on WeCloudData.

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Healthcare Process Medical Data Science 52

KDnuggets

SEPTEMBER 24, 2024

Healthcare generates a vast amount of unstructured data, including clinical notes, patient messages, and research articles. This data contains valuable insights that can significantly improve patient care, but are difficult to include in traditional modeling techniques due to its unstructured format.

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Unstructured Data Healthcare Process Data 121

Striim

OCTOBER 31, 2024

A nonprofit educational healthcare organization is faced with the challenge of modernizing its critical systems while ensuring uninterrupted access to essential services. Through its mission-driven approach, the institution plays a vital role in meeting the growing demand for healthcare professionals.

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Cloudera

APRIL 20, 2022

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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databricks

OCTOBER 9, 2024

Yet, in healthcare, the struggle to access critical. In industries like finance and retail, vast data is leveraged to generate billions in profits.

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The Modern Data Company

APRIL 12, 2023

Prevention and early intervention are essential to building an effective healthcare approach that supports patients from start to finish. Although this is the ideal approach, many healthcare organizations struggle to operationalize their data and see results from new technology investments. DataOS can address all these challenges.

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Snowflake

MAY 7, 2024

Accelerate Healthcare and Life Sciences is a one-day virtual event, featuring technology and business leaders from Elevance Health, Ginkgo Bioworks, Datavant and more, to discover executive priorities, best practices and potential data and AI challenges that are top of mind for 2024. Why Attend Accelerate Healthcare and Life Sciences?

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Snowflake

SEPTEMBER 27, 2023

From improving patient outcomes to increasing clinical efficiencies, better access to data is helping healthcare organizations deliver better patient care. Healthcare organizations must ensure they have a data infrastructure that enables them to collect and analyze large amounts of structured and unstructured data at the point of care.

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Snowflake

OCTOBER 26, 2023

These are just a few examples of how generative AI and large language models (LLMs) are transforming the healthcare and life sciences (HCLS) industry. That’s because gen AI has many use cases across the enterprise and particularly for healthcare providers, payers and life sciences organizations.

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Snowflake

MARCH 31, 2025

Customers include CHG Healthcare, Keysight Technologies and Avios. CHG Healthcare CHG Healthcare , a healthcare staffing company with over 45 years of industry expertise, uses AI/ML to power its workforce staffing solutions across 700,000 medical practitioners representing 130 medical specialties.

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Confluent

DECEMBER 20, 2024

Learn how predictive analytics, powered by generative AI and Confluent, transforms healthcare by improving outcomes, reducing costs, and enabling real-time decisions.

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Healthcare 98

Snowflake

JANUARY 30, 2025

Personalization is also a game changer in healthcare and life sciences, leading to improved patient outcomes and cost savings for healthcare systems. Healthcare professionals can use AI to create customized treatment plans, automate documentation and perform predictive health analytics.

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Unstructured Data Entertainment Healthcare Telecommunication 97

Hevo

FEBRUARY 21, 2025

As the advancements in healthcare technologies continue to increase, the amount of healthcare data recorded also increases. Healthcare organizations store a lot of this information and data. This ranges from patient records and clinical trials to insurance claims and operational data.

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databricks

AUGUST 29, 2023

While healthcare & life sciences has been. The explosive growth of ChatGPT has influenced every industry to reexamine their artificial intelligence (AI) strategies.

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Healthcare 98

databricks

AUGUST 8, 2023

Healthcare is sitting on mountains of data Pop quiz: Which industry accounts for about 30% of newly created data around the world and.

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Snowflake

JULY 11, 2023

Over 500 healthcare AI algorithms have been approved by the U.S. The projected global market size of AI-based healthcare solutions will exceed $208 billion by 2030, according to Biospace. AI’s foothold in healthcare The reason for these numbers is that healthcare can benefit from what AI actually does on a day-to-day basis.

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DataKitchen

NOVEMBER 4, 2021

Those working in healthcare are no exception first appeared on DataKitchen. The post The vast majority of data engineers are burnt out.

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databricks

NOVEMBER 29, 2023

Background: Modernizing Data Delivery Today's enterprise data estates are vastly different from 10 years ago. Industries have transitioned their analytics from monolithic data.

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databricks

FEBRUARY 27, 2024

This blog was written in collaboration with Tim Sedlak, Senior Solutions Architect at Stardog In healthcare and life sciences, accuracy is everything.

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Healthcare 97

databricks

JUNE 21, 2023

The ability to ingest, unify, and share healthcare data plays a foundational role in driving new innovations, advancing medical research, and improving patient.

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Confluent

APRIL 30, 2024

Learn about the role of Confluent in streaming, processing, and governing sensitive healthcare data as part of a Single Patient View solution in healthcare.

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Healthcare Government Data Process 64

Snowflake

FEBRUARY 11, 2025

However, while this industry may not face the same level of regulatory scrutiny as financial services or healthcare, the creative nature of the work can lead to encounter intellectual property issues more frequently. Advertising, media and entertainment tends to be a leader in adoption.

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databricks

NOVEMBER 30, 2023

This blog was written in collaboration with Ben Eisenberg, VP of Innovation at People Data Labs, and Tom Ashenmacher, Chief Revenue Officer at.

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KDnuggets

APRIL 28, 2023

John Snow Labs recently released a new LLM called BioGPT-JSL and capabilities tuned specifically to the medical domain. This article summarizes three things you should know about it. 

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Snowflake

NOVEMBER 11, 2024

Customers such as Avios, CHG Healthcare and Keysight Technologies are already developing container-based models in Snowflake ML. Organizations such as CHG Healthcare , Stride , IGS Energy and Cooke Aquaculture are building end-to-end sophisticated ML models directly in Snowflake.

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Snowflake

FEBRUARY 27, 2025

"AI is revolutionizing healthcare, offering unprecedented opportunities for startups to improve patient outcomes and drive innovation, said Sean Doolan, Founding and Managing Partner at Virtue. Startups can accelerate go-to-market by partnering with Snowflakes data cloud and NTTs global enterprise relationships. "AI

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Cloud IT Amazon Web Services AWS 93

Snowflake

NOVEMBER 14, 2023

See why Snowflake’s healthcare customers rate the Data Cloud high in performance and cost savings. Each year, KLAS Research interviews thousands of healthcare professionals about the IT solutions and services their organizations use. Our results speak to our deep commitment to the healthcare industry.

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Precisely

DECEMBER 12, 2024

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. These systems store massive amounts of historical datadata that has been accumulated, processed, and secured over decades of operation.

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databricks

APRIL 3, 2023

In the United States, roughly 7 out of every 1000 mothers suffer from both pregnancy and delivery complications each year1. Of those mothers.

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Snowflake

JULY 31, 2024

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.

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Snowflake

NOVEMBER 19, 2024

And in the new book “Secrets of Apache Spark to Snowflake Migration Success,” we’re spotlighting some of these exciting stories from customers as varied as AMN Healthcare, IGS Energy, Intercontinental Exchange and the New York Stock Exchange.

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KDnuggets

SEPTEMBER 18, 2024

The use of this branch of machine learning has ushered in a new era of precision and efficiency in medical image segmentation, a central analytical process in modern healthcare diagnostics and treatment planning. Medical imaging has been revolutionized by the adoption of deep learning techniques.

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Snowflake

JULY 26, 2023

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. These include having healthcare workers with specific skill sets onsite. years to 2.8 years between 2020 and 2023.

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Edureka

JANUARY 21, 2025

Healthcare Applications Clinical decision support and patient information systems. RAG retrieves medical guidelines or research papers and generates patient-specific advice or summaries for healthcare providers. Healthcare RAG system needs extensive medical datasets and context-aware retrieval for accuracy. FAQ’s: 1.

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