Remove Categorization Remove Data Analysis Remove Data Extraction
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Sarah Assous, Vice President of Product Marketing, Akeneo – Interview Series

Unite.AI

Knowing the amount of data that AI tools can process, this power opens the door to enable unprecedented levels of personalization during customer interactions through data analysis. Leveraging customer data in this way allows AI algorithms to make broader connections across customer order history, preferences, etc.,

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How to Use Speech AI for Healthcare Market Research

AssemblyAI

4 Ways to Use Speech AI for Healthcare Market Research Speech AI helps researchers gain deeper insights, improve the accuracy of their data, and accelerate the time from research to actionable results. Marvin is a qualitative data analysis platform that has integrated advanced AI models to accelerate and improve its research processes.

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Leveraging user-generated social media content with text-mining examples

IBM Journey to AI blog

Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data. It also automates tasks like information extraction and content categorization. positive, negative or neutral).

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AI-Powered Oncology: Healthcare NLP’s Role in Cancer Research and Treatment

John Snow Labs

Key use cases include detecting valuable information using NER, assertion status, relation extraction, and ICD-10 mapping models; summarizing reports and enabling Q&A with LLMs; and leveraging zero-shot NER for identifying new entities with minimal effort. setInputCols(["sentence",'token']).setOutputCol("prediction")

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Top AI Tools for Accounting 2023

Marktechpost

Features include real-time OCR data extraction from invoices, bills, and receipts, automatic transaction categorization, and AI-assisted reconciliation. Financial data analysis is another area where Gridlex Sky can assist firms to improve their decision-making.

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This AI Paper Introduces ROMAS: A Role-Based Multi-Agent System for Efficient Database Monitoring and Planning

Marktechpost

These systems are designed to function in dynamic and unpredictable environments, addressing data analysis, process automation, and decision-making tasks. In the initialization phase, the system divides tasks into subtasks and assigns them to specialized agents, each with distinct roles like data extraction, retrieval, and analysis.

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Build a Stocks Price Prediction App powered by Snowflake, AWS, Python and Streamlit?—?Part 2 of 3

Mlearning.ai

In this article, we will cover the third & fourth sections i.e. Data Extraction, Preprocessing & EDA & Machine Learning Model development Data collection : Automatically download the stock historical prices data in CSV format and save it to the AWS S3 bucket. And Deploy the final app on Streamlit Cloud.

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