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How to automate medical data extraction: A quick guide

Medical data extraction remains a significant hurdle, with the sector requiring 7.7x more administrative workers than other industries. Automating healthcare data extraction can help healthcare providers reduce operational spending and streamline their processes while improving patient care. These systems capture and extract crucial information from a variety of medical documents—patient records, insurance forms,…

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From OCR to Deep Learning

In today's data-driven world, forms are everywhere, and form data extraction has become crucial. These documents collect information efficiently but often require manual processing. That's where intelligent document processing (IDP) comes in. IDP leverages OCR, AI, and ML to automate form processing, making data extraction faster and more accurate than traditional methods. It's not always…

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Mastering Prompt Engineering: Leveraging the Power of Generative AI | by Niño Ross Rodriguez | Jul, 2024

Generative artificial intelligence (GenAI) is revolutionising the tech industry. Different platforms are now capable of generating output based on a few lines of text. Midjourney can create stunning images, Synthesia can produce dynamic visuals and scenes, and the popular ChatGPT can assist with coding. As GenAI grows and gains popularity at an exponential rate, should…

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Data Orchestration: The Dividing Line Between Generative AI Success and Failure

Sponsored Content       As organizations strive to leverage Generative AI, they often encounter a gap between its promising potential and realizing actual business value. At Astronomer, we’ve seen firsthand how integrating generative AI (GenAI) into operational processes can transform businesses. But we’ve also observed that the key to success lies in orchestrating…

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Enhancing Vision-Language Models: Addressing Multi-Object Hallucination and Cultural Inclusivity for Improved Visual Assistance in Diverse Contexts

The research on vision-language models (VLMs) has gained significant momentum, driven by their potential to revolutionize various applications, including visual assistance for visually impaired individuals. However, current evaluations of these models often need to pay more attention to the complexities introduced by multi-object scenarios and diverse cultural contexts. Two notable studies shed light on these…

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AI-Proof Your Data Science Skill Set by Embracing Four Timeless Concepts | by Matthew Gazzano | Jul, 2024

And stay competitive in a saturated job market Photo by Thomas Kelley on UnsplashWith AI productivity tools like Microsoft Copilot, ChatGPT, and many others emerging, some technology professionals have drawn concerns around their skill sets becoming obsolete. Since AI is still in its infancy, it’s impossible for anyone to predict exactly how the skill sets…

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Leveraging Design Patterns in MERN Stack vs. Data Engineering | by Aaditya Kumar | Jun, 2024

Design patterns are crucial in software development as they provide proven solutions to common problems. They help in creating code that is more scalable, maintainable, and efficient. This article explores the use of multiple design patterns in the context of MERN (MongoDB, Express.js, React, Node.js) stack development versus data engineering, highlighting the differences, challenges, and…

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