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Why might a business use web scraping to collect data?

Nanonets

Data extracted from websites is usually unstructured and needs to be converted into a structured form, which can be used for running analysis or research. The copy-paste method is useful when web scraping needs to be done for personal projects or one-time use cases. Traditionally, market research was done manually.

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What is web scraping? A complete guide

Nanonets

The information on these websites must be scraped and extracted for many different business purposes, ranging from aiding small research projects to training LLMs that power AI models. The copy-paste method is useful when web scraping needs to be done for personal projects or one-time use cases.

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How to Extract Key-Value Pairs Using Deep Learning

Nanonets

This tutorial blog examines some of the use cases of key-value pair extractions, the traditional and current approaches to solving the task, and a sample implementation with code. An example of key-value pair extraction KVPs are the building blocks of many data structures and databases.

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Harnessing AI to extract data from PDF

Nanonets

For example, financial reports, invoices, research articles, and forms might all be in PDF format but have very different layouts. The final extracted data needs to be sent to a downstream business software or stored in a database. PDF documents can vary greatly in layout and structure, depending on their purpose and source.

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How to Scrape Data from a Website to Excel?

Nanonets

It is almost as old as the web and has many use cases that help run applications ranging from common daily use, such as the search engine, to cutting-edge modern applications like training LLMs that power AI. This structured data can then be used to run analysis, research, or even train AI models. 

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H1 Insights: Improving Patient Outcomes By Changing How Doctors, Pharma and Patients Find Each Other

PYMNTS

And perhaps, most critically, matching patients with the right doctors, and various healthcare professionals with the right pharmaceutical companies during research and trials can speed treatments and new drugs as they move from concept to real-life therapies. The company’s databases contain more than one billion data points.

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What is Retrieval Augmented Generation (RAG)?

Nanonets

You interact with RAG by asking it a question; it then utilizes its access to a rich database to mine relevant information and pieces together a coherent and detailed answer with this information. RAG can quickly retrieve and summarize relevant research, aiding in better medical decisions. What is RAG and How Does It Work?