Unite.AI

DECEMBER 9, 2024

Verdict HARPA AI automates tasks securely in your browser with over 100 commands and support for top AI models. Pros and Cons Automates routine online tasks to free up time for more complex projects. Combines AI with web automation for things like content creation, email management, and SEO optimization.

Automation 162

Automation AI AI Categorization 162

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.

Data Extraction 98

Data Extraction NLP Natural Language Processing Automation 98

Unite.AI

APRIL 17, 2025

Wokelo is a generative AI-powered investment research platform designed to automate complex research workflows, including due diligence, sector analysis, and portfolio monitoring. We built an AI agent specifically designed for investment research and financial services not just a chatbot but a full-fledged workflow automation tool.

Data Scarcity 147

Data Scarcity Automation LLM Large Language Models 147

Unite.AI

MARCH 17, 2025

According to OpenAI, this toolkit can simplify complex use cases such as customer support bots, multi-step research assistants, content generation workflows, code review agents, or sales prospecting automation. For businesses, the appeal of these new tools is the ability to automate and scale processes without extensive custom development.

OpenAI 179

OpenAI AI AI Automation 179

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.

Auto-classification 192

Auto-classification Automation Data Extraction AI 192

AI News

SEPTEMBER 26, 2024

Intelligent document processing and its importance Intelligent document processing is a more advanced type of automation based on AI technology, machine learning, natural language processing, and optical character recognition to collect, process, and organise data from multiple forms of paperwork.

IDP 304

IDP Big Data Natural Language Processing Automation 304

Unite.AI

APRIL 9, 2025

Unlike legacy systems limited to basic storage, AODocs combines robust document control with workflow automation, enabling businesses to streamline complex processes across industries. How does AODocs balance automation with human oversight, ensuring compliance and accuracy without removing human validation?

Categorization 147

Categorization AI Chatbots Chatbots Automation 147

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. Intelligent automation presents a chance to revolutionize document workflows across sectors through digitization and process optimization.

Automation 125

Automation IDP Generative AI Data Extraction 125

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.

Automation 130

Automation Large Language Models Data Extraction ML 130

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

Big Data 321

Big Data Explainability Data Extraction AI 321

Analytics Vidhya

JULY 2, 2023

Introduction The purpose of this project is to develop a Python program that automates the process of monitoring and tracking changes across multiple websites. We aim to streamline the meticulous task of detecting and documenting modifications in web-based content by utilizing Python.

Python 386

Python Automation Data Extraction Data Analysis 386

Unite.AI

APRIL 4, 2024

These tools harness the power of machine learning, natural language processing, and intelligent automation to simplify the creation, storage, and retrieval of critical business documents. This feature significantly reduces the need for manual data entry, saving time and minimizing the risk of errors.

Automation 278

Automation Machine Learning AI AI 278

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.

Automation 137

Automation AI Tools Data Mining Large Language Models 137

AWS Machine Learning Blog

FEBRUARY 10, 2025

Recognizing the growing complexity of business processes and the increasing demand for automation, the integration of generative AI skills into environments has become essential. The Appian AI Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish.

Generative AI 73

Generative AI Automation Data Extraction AI 73

Unite.AI

JANUARY 17, 2025

On the other hand, Elicit focuses on data extraction and synthesis. This makes Elicit better for quickly pulling out key findings and themes across multiple papers, which is perfect for researchers who need to efficiently analyze and summarize large sets of data.

AI Tools 162

AI Tools AI AI Data Extraction 162

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.

Automation 105

Automation Data Extraction Robotics Artificial Intelligence 105

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.

Automation 105

Automation Data Scarcity Large Language Models Data Extraction 105

Analytics Vidhya

OCTOBER 17, 2023

More and more people are making money on the side by investing in stocks and automating their trading strategies. Introduction Algorithmic trading is a widely adopted trading strategy that has revolutionized the way people trade stocks.

Algorithm 343

Algorithm Python Automation Data Extraction 343

Flipboard

APRIL 16, 2025

AI data extraction service The AI data extraction service is designed to extract critical information, such as manufacturer name, model number, and serial number from images of asset labels. A Lambda function runs the data extraction logic and orchestrates the overall data extraction process.

Computer Vision 100

Computer Vision Data Extraction Generative AI AI Modeling 100

TheSequence

APRIL 9, 2025

By merging browser automation, asynchronous orchestration, and native LLM integration, Crawl4AI directly addresses three pivotal challenges in modern data extraction: Dynamic Content Handling : Over 78% of the top 10,000 websites require JavaScript execution for core content rendering.

Large Language Models 66

Large Language Models Data Extraction LLM Automation 66

Unite.AI

MARCH 7, 2025

Of course, they do have enterprise solutions, but think about itdo you really want to trust third parties with your data? So, lets tackle the nitty gritty of combining the efficiency of automation with the security of local deployment. If not, on-premises AI is by far the best solution, and what were tackling today.

AI 191

AI AI Algorithm Data Extraction 191

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.

Python 144

Python Data Extraction Large Language Models Automation 144

AI Weekly

SEPTEMBER 28, 2023

Attention automates it all for you. Start automating your sales today!] Using AI algorithms and machine learning models, businesses can sift through big data, extract valuable insights, and tailor. Attention automates it all for you. Start automating your sales today!] Watching call recordings. decrypt.co

Robotics 264

Robotics Computer Vision Artificial Intelligence Artificial Intelligence 264

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.

Large Language Models 278

Large Language Models Automation Artificial Intelligence Artificial Intelligence 278

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.

Natural Language Processing 147

Natural Language Processing NLP Categorization Algorithm 147

TransOrg Analytics

AUGUST 5, 2024

Enter generative AI, a groundbreaking technology that transforms how we approach data extraction. Topic Modeling : Extract and cluster themes from large datasets, helping to identify trends and insights from unstructured data. What is Generative AI?

Data Extraction 52

Data Extraction Generative AI Categorization Automation 52

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.

Data Analysis 359

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

LLM 246

LLM Automation Large Language Models OpenAI 246

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.

Data Extraction 77

Data Extraction Automation NLP Conversational AI 77

AWS Machine Learning Blog

MAY 24, 2023

In this three-part series, we present a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Amazon Fraud Detector is called for a fraud prediction score using the data extracted from the mortgage documents.

Automation 93

Automation Computer Vision Data Extraction IDP 93

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.

Data Extraction 111

Data Extraction AI Modeling Automation Data Analysis 111

Marktechpost

JULY 10, 2024

At its core, Open Contracts leverages generative AI (genAI) and Large Language Models (LLMs) to facilitate both data extraction and query handling. Another highlight is the pluggable microservice analyzer architecture, enabling seamless integration of various analyzers to automate document annotation.

Data Extraction 126

Data Extraction Large Language Models LLM Automation 126

AWS Machine Learning Blog

JANUARY 13, 2025

This integration allows organizations to not only extract data from documents, but to also interpret, summarize, and generate insights from the extracted information, enabling more intelligent and automated document processing workflows.

IDP 111

IDP Generative AI Prompt Engineering Prompt Engineer 111

AssemblyAI

SEPTEMBER 11, 2024

  Speech Understanding : By leveraging Large Language Models (LLMs) and Audio Intelligence models, Speech Understanding models let users analyze bulk audio data, extract insights, generate summaries, and more.   uses AI to power its voice assistant and transcription tools that help automate their users’ workflows. 

AI Tools 246

AI Tools AI AI Large Language Models 246

IBM Journey to AI blog

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. AutoML tools: Automated machine learning, or autoML, supports faster model creation with low-code and no-code functionality.

Machine Learning 225

Machine Learning Automation AI AI 225

Unite.AI

SEPTEMBER 16, 2024

Data often comes in different formats depending on the source. These tools help standardize this data, ensuring consistency. Moreover, data integration tools can help companies save $520,000 annually by automating manual data pipeline creation. Fivetran also provides robust data security and governance.

Data Integration 173

Data Integration ETL Big Data Automation 173

Marktechpost

MARCH 17, 2025

With the growing need for automation in data extraction, OCR tools have become an essential part of many applications, from digitizing documents to extracting information from scanned images. Optical Character Recognition (OCR) is a powerful technology that converts images of text into machine-readable content.

Python 86

Python Data Extraction Automation ML 86