Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

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Data Extraction NLP Natural Language Processing Automation 98

AI Weekly

SEPTEMBER 28, 2023

Attention automates it all for you. Start automating your sales today!] blog.google Applied use cases 15+ Applications of AI in Business in 2023 (with Examples) Artificial Intelligence: Technology to Transform Your Business Operations In today’s fast-paced business landscape, Artificial Intelligence (AI) is a major game-changer.

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Robotics Computer Vision Artificial Intelligence Artificial Intelligence 264

Flipboard

JULY 12, 2023

Boost your advertising and social media game with AdCreative.ai – the ultimate Artificial Intelligence solution. Parsio (OCR + AI chat) Enhance your data extraction process by adopting an AI-driven document parser. Enhance your data extraction routines with our state-of-the-art AI-based PDF parser.

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Artificial Intelligence Artificial Intelligence AI Tools Data Extraction 123

Unite.AI

APRIL 4, 2024

As artificial intelligence (AI) continues to transform various aspects of modern work, AI-powered document management systems have emerged as game-changers, offering unparalleled efficiency, accuracy, and security. This feature significantly reduces the need for manual data entry, saving time and minimizing the risk of errors.

Automation 278

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IBM Journey to AI blog

JUNE 26, 2023

Scenario 3: Break the operational bottleneck caused by Kafka, an open-source data extraction tool. With Event Streams Module of IBM Cloud Pak for Integration, you can simplify the process of highly available data extraction.

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Auto-classification Automation Data Extraction AI 192

AWS Machine Learning Blog

JUNE 18, 2024

Despite the availability of technology that can digitize and automate document workflows through intelligent automation, businesses still mostly rely on labor-intensive manual document processing. This post explains a generative artificial intelligence (AI) technique to extract insights from business emails and attachments.

Automation 123

Automation IDP Generative AI Data Extraction 123

Unite.AI

JANUARY 17, 2025

For example, I found a book on Artificial Intelligence on Google Scholar. On the other hand, Elicit focuses on data extraction and synthesis. However, if you're focused on automating data extraction and quickly synthesizing research findings across a range of sources, Elicit is the better choice!

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AI Tools AI AI Data Extraction 162

Unite.AI

FEBRUARY 21, 2025

Akeneo's Supplier Data Manager (SDM) is designed to streamline the collection, management, and enrichment of supplier-provided product information and assets by offering a user-friendly portal where suppliers can upload product data and media files, which are then automatically mapped to the retailer's and/or distributors data structure.

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Natural Language Processing NLP Categorization Algorithm 147

Unite.AI

SEPTEMBER 22, 2023

Jay Mishra is the Chief Operating Officer (COO) at Astera Software , a rapidly-growing provider of enterprise-ready data solutions. Data warehousing has evolved quite a bit in the past 20-25 years. There are a lot of repetitive tasks and automation's goal is to help users in front of repetition.

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Large Language Models Automation Artificial Intelligence Artificial Intelligence 278

Marktechpost

JULY 1, 2024

Robotic process automation (RPA) and browser automation (UA) are becoming more important to startups for data scraping and RPA. Nevertheless, several obstacles exist when developing, deploying, and maintaining such automation. On top of that, automations that run in web browsers are not foolproof.

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Automation Data Extraction Robotics Artificial Intelligence 104

AI News

MAY 15, 2024

Flash excels at summarisation, chat applications, image and video captioning, data extraction from long documents and tables, and more,” explained Demis Hassabis, CEO of Google DeepMind. Check out AI & Big Data Expo taking place in Amsterdam, California, and London. While lighter-weight than the 1.5

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Marktechpost

APRIL 26, 2024

Web automation technologies are vital in streamlining complex tasks that traditionally require human intervention. These technologies automate actions within web-based platforms, enhancing efficiency and scalability across various digital operations. Check out the Paper. If you like our work, you will love our newsletter.

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Automation Large Language Models Data Extraction ML 128

Marktechpost

SEPTEMBER 25, 2024

Microsoft’s release of RD-Agent marks a milestone in the automation of research and development (R&D) processes, particularly in data-driven industries. By automating these critical processes, RD-Agent allows companies to maximize their productivity while enhancing the quality and speed of innovations.

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AWS Machine Learning Blog

JUNE 26, 2024

Artificial intelligence and machine learning (AI/ML) technologies can assist capital market organizations overcome these challenges. Intelligent document processing (IDP) applies AI/ML techniques to automate data extraction from documents. The task can then be passed on to humans to complete a final sort.

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Marktechpost

JULY 25, 2024

Existing attempts to address theorem-proving challenges have evolved significantly with modern proof assistants like Coq, Isabelle, and Lean having expanded formal systems beyond first-order logic, increasing interest in automated theorem proving (ATP). The recent integration of large language models has further advanced this field.

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Automation Data Scarcity Large Language Models Data Extraction 103

Marktechpost

APRIL 30, 2024

Collecting this data can be time-consuming and prone to errors, presenting a significant challenge in data-driven industries. Traditionally, web scraping tools have been utilized to automate the process of data extraction. Unlike traditional tools, this innovative solution allows users to describe the needed data.

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Python Data Extraction Large Language Models Automation 144

Marktechpost

SEPTEMBER 28, 2024

In the age of data-driven artificial intelligence, LLMs like GPT-3 and BERT require vast amounts of well-structured data from diverse sources to improve performance across various applications. It can handle multiple URLs simultaneously, making it suitable for large-scale data collection.

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Marktechpost

FEBRUARY 15, 2025

This feature makes it ideal for structured data extraction applications, such as automated financial reporting, customer service automation, and real-time AI-based decision-making systems. Further, the model has an improved function-calling feature that facilitates efficient processing of JSON-structured outputs.

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Data Extraction Automation NLP Conversational AI 75

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 225

Machine Learning Automation AI AI 225

Unite.AI

JULY 2, 2023

Real-time customer data is integral in hyperpersonalization as AI uses this information to learn behaviors, predict user actions, and cater to their needs and preferences. This is also a critical differentiator between hyperpersonalization and personalization – the depth and timing of the data used.

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Data Analysis AI AI ML 359

Unite.AI

SEPTEMBER 19, 2024

These APIs allow companies to integrate natural language understanding, generation, and other AI-driven features into their applications, improving efficiency, enhancing customer experiences, and unlocking new possibilities in automation. Flash $0.00001875 / 1K characters $0.000075 / 1K characters $0.0000375 / 1K characters Gemini 1.5

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LLM Automation Large Language Models OpenAI 246

Unite.AI

FEBRUARY 23, 2024

In the ever-evolving landscape of artificial intelligence, the art of prompt engineering has emerged as a pivotal skill set for professionals and enthusiasts alike. The second course, “ChatGPT Advanced Data Analysis,” focuses on automating tasks using ChatGPT's code interpreter.

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Prompt Engineer Prompt Engineering Large Language Models ChatGPT 272

Marktechpost

AUGUST 4, 2023

INDY Indy is an artificial intelligence (AI) program that helps enterprises, startups, and freelancers finish tedious accounting chores 20 times faster than manual methods. Bookkeeping and other administrative costs can be reduced by digitizing financial data and automating procedures.

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AI Tools Artificial Intelligence Artificial Intelligence Automation 98

AWS Machine Learning Blog

AUGUST 13, 2024

Generative artificial intelligence (AI) provides an opportunity for improvements in healthcare by combining and analyzing structured and unstructured data across previously disconnected silos. Figure 1: Architecture – Standard Form – Data Extraction & Storage. read()) answer = response_body.get("content")[0].get("text")

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Marktechpost

AUGUST 27, 2024

Engineers can turn jumbled online data into a tidy, usable output—whether it’s structured JSON for conventional programs or human-readable language for LLMs—with only a few lines of code. Saldor is a web scraping tool made especially for artificial intelligence uses. How Does Saldor Work?

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Marktechpost

JULY 28, 2024

Automating the data extraction process, especially from tables and figures, can allow researchers to focus on data analysis and interpretation rather than manual data extraction. This automation enhances data accuracy compared to manual methods, leading to more reliable research findings.

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Data Extraction AI Modeling Automation Data Analysis 109

Topbots

APRIL 4, 2024

Artificial intelligence (AI) is a game-changer in the automation of these mundane tasks. By leveraging AI, organizations can automate the extraction and interpretation of information from documents to focus more on their core activities. First and foremost, the digital era demands speed and efficiency.

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Automation IDP NLP Natural Language Processing 59

Marktechpost

JULY 1, 2023

Artificial Intelligence and Machine Learning are the trending fields of today’s time. Reasoning in human intelligence is a significant part of Artificial Intelligence. It offers resources for working with Lean and extracting data.

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Large Language Models Data Extraction Artificial Intelligence Artificial Intelligence 98

Towards AI

DECEMBER 19, 2024

Extracting insights from videos involves understanding the content, context, and nuances present within the frames and audio tracks. Traditional methods often require manual annotation or simplistic automated processes that lack depth.

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Marktechpost

JULY 3, 2024

This groundbreaking API complements the previously launched Agent API, offering a comprehensive solution for autonomous web browsing and data extraction. Developers expressed the need for a natural language-based web understanding and data extraction tool to enhance the agent’s capabilities in autonomous web browsing.

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Marktechpost

DECEMBER 5, 2024

Developing AI applications that interact with the web is challenging due to the need for complex automation scripts. This involves handling browser instances, managing dynamic content, and navigating various UI layouts, which requires expertise in web automation frameworks like Puppeteer.

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Automation Data Extraction AI AI 104

Marktechpost

JUNE 25, 2024

NuMind introduces NuExtract , a cutting-edge text-to-JSON language model that represents a significant advancement in structured data extraction from text. This model aims to transform unstructured text into structured data highly efficiently.

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LLM Data Extraction Machine Learning Automation 104

IBM Journey to AI blog

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

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Data Mining Convolutional Neural Networks Categorization Machine Learning 170

AWS Machine Learning Blog

NOVEMBER 22, 2023

Codify Operations for Efficiency and Reproducibility By performing operations as code and incorporating automated deployment methodologies, organizations can achieve scalable, repeatable, and consistent processes. Workload design An effective workload design is essential for successful management of intelligent document processing systems.

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IDP Data Extraction Machine Learning ML 120

AWS Machine Learning Blog

SEPTEMBER 23, 2024

Through Rocket Logic – Synopsis, Rocket achieved remarkable results: automating post call interaction wrap-up resulting in a projected 40,000 team hours saved annually, and a 10% increase in first-call resolutions saved 20,000 hours annually. The following diagram illustrates the solution architecture.

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Marktechpost

NOVEMBER 16, 2024

These tools offer a variety of choices to effectively extract, process, and analyze data from various web sources. Scrapy A powerful, open-source Python framework called Scrapy was created for highly effective web scraping and data extraction.

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Marktechpost

JANUARY 10, 2024

Video coding is preferred for collecting detailed behavioral data, but manually extracting information from extensive video footage is time-consuming. Machine learning has emerged as a solution, automating data extraction and improving efficiency while maintaining reliability.

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Machine Learning Automation Data Extraction Explainability 113