AI News

SEPTEMBER 26, 2024

Healthcare documentation is an integral part of the sector that ensures the delivery of high-quality care and maintains the continuity of patient information. However, as healthcare providers have to deal with excessive amounts of data, managing it can feel overwhelming. Want to learn more about AI and big data from industry leaders?

IDP 277

IDP Big Data Natural Language Processing Automation 277

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

Marktechpost

JULY 3, 2024

MultiOn AI has recently announced the release of its latest innovation, the Retrieve API, an autonomous web information retrieval API designed to revolutionize how developers and businesses extract and utilize web data. The development of the Retrieve API stemmed from feedback received after the launch of the Agent API.

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Data Extraction LLM AI AI 96

Unite.AI

NOVEMBER 15, 2024

Even in the early days of Google’s widely-used search engine, automation was at the heart of the results. Early uses of AI in industries like supply chain management (SCM) trace back to the 1950s, using automation to solve problems in logistics and inventory management.

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Automation AI AI ChatGPT 255

John Snow Labs

OCTOBER 29, 2024

Navigating the world of medical research often feels like diving into an ocean of information without a map. It offers the capability to quickly identify relevant studies, extract key data, and even apply customizable inclusion and exclusion criteria—all within a seamless, interactive interface.

Automation 52

Automation Chatbots Data Extraction AI 52

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.

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Automation Machine Learning AI AI 278

AWS Machine Learning Blog

JUNE 26, 2024

Intelligent document processing (IDP) applies AI/ML techniques to automate data extraction from documents. In this post, we show how you can automate and intelligently process derivative confirms at scale using AWS AI services. Using IDP can reduce or eliminate the requirement for time-consuming human reviews.

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Automation IDP ML AI 114

AWS Machine Learning Blog

MAY 7, 2024

Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

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Prompt Engineer Prompt Engineering Large Language Models LLM 123

Marktechpost

APRIL 30, 2024

Extracting information quickly and efficiently from websites and digital documents is crucial for businesses, researchers, and developers. They require specific data from various online sources to analyze trends, monitor competitors, or gather insights for strategic decisions.

Python 144

Python Data Extraction Large Language Models Automation 144

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. Every day, countless hours are spent on sorting, filing, and searching for documents.

Automation 59

Automation IDP NLP Natural Language Processing 59

AI News

MAY 15, 2024

Pro, it retains the ability for multimodal reasoning across vast amounts of information and features the breakthrough long context window of one million tokens. The company has developed prototype agents that can process information faster, understand context better, and respond quickly in conversation. While lighter-weight than the 1.5

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Big Data Explainability Data Extraction AI 285

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. Traditionally, researchers extract information from tables and figures manually, which is time-consuming and prone to human error.

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Data Extraction AI Modeling Automation Data Analysis 111

Unite.AI

SEPTEMBER 16, 2024

Compiling data from these disparate systems into one unified location. This is where data integration comes in! Data integration is the process of combining information from multiple sources to create a consolidated dataset. Data integration tools consolidate this data, breaking down silos. The challenge?

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Data Integration ETL Big Data Automation 173

Unite.AI

OCTOBER 25, 2024

SLK's AI-powered platforms and accelerators are designed to automate and streamline processes, helping businesses reach the market more quickly. These solutions, ranging from data governance to self-service APIs, aim to support the rapid launch of innovations.

Automation 147

Automation Explainability Responsible AI AI Automation 147

Unite.AI

SEPTEMBER 16, 2024

Compiling data from these disparate systems into one unified location. This is where data integration comes in! Data integration is the process of combining information from multiple sources to create a consolidated dataset. Data integration tools consolidate this data, breaking down silos. The challenge?

Data Integration 173

Data Integration ETL Big Data Automation 173

AWS Machine Learning Blog

NOVEMBER 13, 2024

By taking advantage of advanced natural language processing (NLP) capabilities and data analysis techniques, you can streamline common tasks like these in the financial industry: Automating data extraction – The manual data extraction process to analyze financial statements can be time-consuming and prone to human errors.

Generative AI 100

Generative AI Data Extraction AI AI 100

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 OpenAI Large Language Models 246

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. Structured extraction tasks vary significantly in complexity.

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LLM Data Extraction Machine Learning Automation 105

AWS Machine Learning Blog

AUGUST 13, 2024

The healthcare industry generates and collects a significant amount of unstructured textual data, including clinical documentation such as patient information, medical history, and test results, as well as non-clinical documentation like administrative records. Figure 1: Architecture – Standard Form – Data Extraction & Storage.

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Data Extraction Generative AI Machine Learning Large Language Models 128

Unite.AI

NOVEMBER 21, 2024

As the head of strategy, I need to collaborate with teams across various departments to promote GenAI adoption and stay informed about new developments to guide my decisions. GenAI processes vast amounts of data to provide actionable insights. They were facing scalability and accuracy issues with their manual approach.

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DevOps Automation Responsible AI Software Development 147

Marktechpost

AUGUST 27, 2024

Saldor saves developers time and effort by automating the data-collecting process, freeing them up to concentrate on creating and improving their AI models. Salvador offers user-friendliness, dependability, and high-quality data. Using data extraction, Saldor locates and retrieves the required data from the target websites.

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Data Extraction Automation AI AI 100

AssemblyAI

MAY 24, 2024

AI-powered highlights and analysis can expedite this process by distilling hours of interviews and discussions into concise summaries and highlight reels that focus on the most important information. Users can use AI to organize, tag, summarize, and analyze their data, helping them uncover insights.

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Categorization Data Analysis AI AI 147

Marktechpost

NOVEMBER 16, 2024

Web scraping has emerged as a crucial method for gathering data, allowing companies and researchers to extract insightful information from the abundance of publicly accessible online content. These tools offer a variety of choices to effectively extract, process, and analyze data from various web sources.

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Data Extraction Auto-complete Automation Python 45

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.

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Machine Learning Automation AI AI 242

Unite.AI

JULY 26, 2024

It’s important to demonstrate your company’s commitment to technology forward approaches such as leveraging automation at the hiring level to attract top talent. No prospect is looking for manual, data entry-heavy positions. AI-driven automation and workflows are attractive to talent.

Automation 130

Automation AI AI Categorization 130

Pickl AI

OCTOBER 17, 2024

This process enables organisations to gather data from various sources, transform it into a usable format, and load it into data warehouses or databases for analysis. Efficient management of ETL Data is essential for businesses seeking to leverage their information for strategic decision-making.

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ETL Data Quality Data Integration 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.

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Data Analysis AI AI ML 359

Marktechpost

AUGUST 4, 2023

The important information from an invoice may be extracted without resorting to templates or memorization, thanks to the hundreds of millions of invoices used to train the algorithms. 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

Marktechpost

AUGUST 11, 2024

Structured extraction works across all layouts with best-in-class accuracy, thanks to this new API that takes advantage of all our efforts to improve the document understanding models. How Reducto works Reducto finds the important information in an unstructured document by analyzing its content.

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LLM Neural Network Data Extraction Machine Learning 107

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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Automation Generative AI Large Language Models Artificial Intelligence 123

Marktechpost

JULY 30, 2024

These databases underpin significant portions of the digital economy, efficiently organizing and retrieving data necessary for operations in diverse fields. However, the richness of relational information in these databases is often underutilized due to the complexity of handling multiple interconnected tables.

Deep Learning 122

Deep Learning Neural Network Categorization Data Extraction 122

Pickl AI

OCTOBER 17, 2024

Summary: The ETL process, which consists of data extraction, transformation, and loading, is vital for effective data management. Following best practices and using suitable tools enhances data integrity and quality, supporting informed decision-making.

ETL 52

ETL Explainability Data Integration Data Extraction 52

Pickl AI

AUGUST 21, 2024

Web crawling is the automated process of systematically browsing the internet to gather and index information from various web pages. Data Collection : The crawler collects information from each page it visits, including the page title, meta tags, headers, and other relevant data. What is Web Crawling?

Data Extraction 52

Data Extraction Automation Data Quality Data Analysis 52

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.

Machine Learning 115

Machine Learning Automation Data Extraction Explainability 115

Unite.AI

OCTOBER 3, 2023

The idea was that with automation and computer power, you can reduce the cost and increase margin in textile. Automating temperature monitoring processes is the most efficient way to ensure the health and safety of all vaccine recipients. At the same time, I was working with Scitex & Xerox in print on-demand systems.

Machine Learning 286

Machine Learning Algorithm Automation Data Extraction 286

Marktechpost

AUGUST 18, 2024

There is continual context flipping due to data silos and various information sources. Meet Decisional , an AI Financial Analyst tool developed to read and comprehend data from many public and private sources. With the help of your documents, analysts can create “AI memos” and extract valuable information.

AI 59

AI AI Data Extraction Automation 59

Pickl AI

SEPTEMBER 10, 2024

By integrating AI capabilities, Excel can now automate Data Analysis, generate insights, and even create visualisations with minimal human intervention. AI-powered features in Excel enable users to make data-driven decisions more efficiently, saving time and effort while uncovering valuable insights hidden within large datasets.

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Data Analysis Automation Machine Learning AI Tools 52