Unite.AI

JUNE 23, 2023

Traditionally, automation technologies have focused on data management tasks such as collecting and processing data. However, the rise of generative AI, with its inherent natural language capabilities, suggests that the focus of automation could shift dramatically.

Automation 259

Automation Generative AI AI AI 259

IBM Journey to AI blog

NOVEMBER 10, 2023

This blog will focus on the integration of IBM Cloud Code Engine and IBM Cloud Event Notifications along with IBM Cloud Secrets Manager to build a robust use case that will automate your certificate renewal process for applications in your code engine project. To know more about it check the documentation of retry policy.

Automation 306

Automation 306

Unite.AI

AUGUST 29, 2024

Building on these developments, Sakana AI Lab has developed an AI system called The AI Scientist, which aims to automate the entire research process, from generating ideas to drafting and reviewing papers. In this article, we’ll explore this innovative approach and challenges it faces with automated research.

Automation 173

Automation Generative AI AI AI 173

Unite.AI

DECEMBER 21, 2023

Generative AI is poised to transform the healthcare industry in many ways, including clinical document parsing. The Challenge in Modern Healthcare Clinical document parsing poses significant challenges in healthcare, especially for complex reports such as echocardiograms, which are critical in diagnosing heart conditions.

AI 147

AI AI Automation Generative AI 147

AWS Machine Learning Blog

FEBRUARY 7, 2024

In the first post of this three-part series, we presented 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. The following diagram represents each stage in a mortgage document fraud detection pipeline.

Automation 119

Automation ML Computer Vision Deep Learning 119

Marktechpost

AUGUST 14, 2024

Traditional methods for handling such data are either too slow, require extensive manual work, or are not flexible enough to adapt to the wide variety of document types and layouts that businesses encounter. This flexibility makes it a valuable tool for organizations aiming to automate and optimize their data processing workflows.

Data Extraction 134

Data Extraction Automation Machine Learning LLM 134

IBM Journey to AI blog

SEPTEMBER 29, 2023

We also provide some directions on how to script and possibly automate these administrative tasks: An inactive trusted profile before it is removed from access groups. Automated cleanup Acting on discovered inactive identities could be done manually, but should be automated for efficiency and improved security.

Automation 236

Automation 236

AWS Machine Learning Blog

JUNE 18, 2024

Many companies across all industries still rely on laborious, error-prone, manual procedures to handle documents, especially those that are sent to them by email. Intelligent automation presents a chance to revolutionize document workflows across sectors through digitization and process optimization.

Automation 106

Automation IDP Generative AI Data Extraction 106

AWS Machine Learning Blog

JUNE 12, 2024

In today’s data-driven business landscape, the ability to efficiently extract and process information from a wide range of documents is crucial for informed decision-making and maintaining a competitive edge. The Anthropic Claude 3 Haiku model then processes the documents and returns the desired information, streamlining the entire workflow.

IDP 116

IDP NLP Natural Language Processing Generative AI 116

How to Learn Machine Learning

SEPTEMBER 29, 2024

You can handle documents differently with these tools. So, do you want to improve how you manage documents? It saves time by automating data entry. These tools provide users with a better interface to easily convert jpeg to word documents. Here is how: Capturing Images First, it scans the document.

Machine Learning 52

Machine Learning Automation NLP Data Extraction 52

Marktechpost

APRIL 30, 2024

Extracting information quickly and efficiently from websites and digital documents is crucial for businesses, researchers, and developers. Traditionally, web scraping tools have been utilized to automate the process of data extraction. However, they often demand a good understanding of programming and web technologies from the user.

Python 144

Python Data Extraction Large Language Models Automation 144

Marktechpost

MAY 8, 2024

While CSE workflows are documented, inclusive abstract descriptions still need to be included. Emerging tools like Jupyter notebooks and Code Ocean facilitate documentation and integration, while automated workflows aim to merge computer-based and laboratory computations. If you like our work, you will love our newsletter.

Metadata 109

Metadata Automation ML Machine Learning 109

IBM Journey to AI blog

JULY 20, 2023

We are focused on accelerating the cloud move for Power deployments by automating the Day 1 and Day 2 operations in Power Virtual Server. Automation can shrink SAP deployment from weeks to hours and help avoid error and configuration variance. The time taken by various automated components is detailed in Mike Moore’s blog post.

Automation 189

Automation 189

Marktechpost

JULY 23, 2024

Effectively evaluating document instruction data for training large language models (LLMs) and multimodal large language models (MLLMs) in document visual question answering (VQA) presents a significant challenge. This approach enables a more granular and accurate assessment of the data’s quality. Check out the Paper and GitHub.

Large Language Models 103

Large Language Models AI AI Data Quality 103

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. Changing borrowing rules and interest rates can drastically alter an applicant’s credit affordability.

Automation 73

Automation Computer Vision Data Extraction IDP 73

John Snow Labs

SEPTEMBER 17, 2024

Historically, there have been three major barriers to automating this process. Second, the information is frequently derived from natural language documents or a combination of structured, imaging, and document sources. OCR The first step of document processing is usually a conversion of scanned PDFs to text information.

NLP 52

NLP Natural Language Processing Categorization Metadata 52

Marktechpost

AUGUST 11, 2024

It is common practice for businesses to employ conventional methods when developing an extraction pipeline for each unique document layout. Reducto has constructed vision models to read documents naturally. How Reducto works Reducto finds the important information in an unstructured document by analyzing its content.

LLM 103

LLM Neural Network Data Extraction Machine Learning 103

AWS Machine Learning Blog

JUNE 26, 2024

This is because trades involve different counterparties and there is a high degree of variation among documents containing commercial terms (such as trade date, value date, and counterparties). Intelligent document processing (IDP) applies AI/ML techniques to automate data extraction from documents.

Automation 97

Automation IDP ML AI 97

Pickl AI

JULY 26, 2024

Summary: Python automation and scripting simplify repetitive tasks, improve efficiency, and streamline workflows. Introduction Python is pivotal in automation and scripting, offering versatile tools to streamline repetitive tasks and enhance efficiency. What is Python Automation?

Automation 52

Automation Python Explainability Artificial Intelligence 52

AWS Machine Learning Blog

AUGUST 21, 2024

Today, physicians spend about 49% of their workday documenting clinical visits, which impacts physician productivity and patient care. By using the solution, clinicians don’t need to spend additional hours documenting patient encounters. This blog post focuses on the Amazon Transcribe LMA solution for the healthcare domain.

LLM 97

LLM Automation Generative AI ML 97

AWS Machine Learning Blog

FEBRUARY 6, 2024

A key part of the submission process is authoring regulatory documents like the Common Technical Document (CTD), a comprehensive standard formatted document for submitting applications, amendments, supplements, and reports to the FDA. The tedious process of compiling hundreds of documents is also prone to errors.

Generative AI 114

Generative AI Large Language Models AI AI 114

Flipboard

JUNE 6, 2023

Instabase, a startup providing an apps platform that can be used to understand and analyze “unstructured” data, today announced that it raised $45 million in a Series C round led by Tribe Capital, with participation from Andreessen Horowitz (a16z), New Enterprise Associates and Spark Capital.

Automation 113

Automation Machine Learning 113

Towards AI

MARCH 7, 2024

However, to effectively collaborate, these engineers require detailed documentation covering essential aspects: URL path to call the modelRequired parameters for model inferenceData structure of the API responseQuick methods for API trial or testing Writing comprehensive documentation manually can be tedious.

Data Science 68

Data Science Software Engineer Data Scientist Python 68

ODSC - Open Data Science

SEPTEMBER 12, 2024

Many are turning to AI’s automation capabilities as a solution. Since NLP can process unstructured audio, video, image, and text data, it is ideal for dynamic use cases like automating banking compliance monitoring. These models can automatically “translate” regulatory documents.

NLP 52

NLP Automation Machine Learning Natural Language Processing 52

AWS Machine Learning Blog

SEPTEMBER 8, 2023

For modern companies that deal with enormous volumes of documents such as contracts, invoices, resumes, and reports, efficiently processing and retrieving pertinent data is critical to maintaining a competitive edge. What if there was a way to process documents intelligently and make them searchable in with high accuracy?

IDP 115

IDP Automation Python ML 115

Marktechpost

JUNE 20, 2024

Reviewing code changes, ensuring compliance, updating documentation, and maintaining consistent quality are essential but demanding tasks. Automated testing and continuous integration systems help catch errors early. Currently, several tools and practices aim to ease the burden of pull request management.

Automation 104

Automation DevOps AI AI 104

AWS Machine Learning Blog

NOVEMBER 6, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. Queries is a feature that enables you to extract specific pieces of information from varying, complex documents using natural language. personal or cashier’s checks), financial institution and country (e.g.,

Auto-complete 113

Auto-complete Data Extraction ML Machine Learning 113

Artificial Lawyer

AUGUST 26, 2024

Office & Dragons is a legal tech startup focused on eliminating repetitive legal tasks, such as bulk edits to tens, and even thousands, of documents.

Automation 86

Automation 86

Marktechpost

JULY 23, 2024

Document Visual Question Answering (DocVQA) is a branch of visual question answering that focuses on answering queries about the contents of documents. These documents can take several forms, including scanned photographs, PDFs, and digital documents with text and visual features. million PDF documents.

Automation 103

Automation ML AI AI 103

AWS Machine Learning Blog

AUGUST 3, 2023

Data classification, extraction, and analysis can be challenging for organizations that deal with volumes of documents. Traditional document processing solutions are manual, expensive, error prone, and difficult to scale. FMs are transforming the way you can solve traditionally complex document processing workloads.

IDP 78

IDP Generative AI AI AI 78

Robot Writers AI

SEPTEMBER 3, 2023

More to the point: As an American, I don’t have a problem with automation designed to eviscerate anti-U.S. The post Automated Opinion Writing As-A-Service appeared first on Robot Writers AI. lies promulgated by a gangster-led political machine that masquerades as a government. To the people.

Automation 105

Automation Auto-complete ChatGPT Robotics 105

Marktechpost

JANUARY 20, 2024

LLMs are being used in many applications, from automated customer service to generating creative content. The complexity of this challenge stems from the inconsistent, often redundant, and sometimes incomplete nature of tool documentation.

Artificial Intelligence 133

Artificial Intelligence Artificial Intelligence Large Language Models Machine Learning 133

Flipboard

APRIL 28, 2023

Many organizations struggle to effectively manage and derive insights from the large amount of unstructured data locked in emails, PDFs, images, …

Automation 105

Automation Machine Learning 105

Marktechpost

FEBRUARY 28, 2024

In deployment mode, TestGen-LLM operates to fully automate the process of test class improvement, relying on a curated mix of LLMs and strategies to generate recommendations for code enhancements. The post Meta AI Introduces TestGen-LLM for Automated Unit Test Improvement Using Large Language Models (LLMs) appeared first on MarkTechPost.

Large Language Models 130

Large Language Models LLM Automation Software Engineer 130

IBM Journey to AI blog

MAY 29, 2024

For instance, creating use cases require meticulous planning and documentation, often involving multiple stakeholders and iterations. Inconsistent documentation: Documentation can be scattered and outdated, leading to confusion and rework. Reduced costs: Less manual work translates to lower development costs.

Software Development 230

Software Development Automation Generative AI AI 230

Unite.AI

OCTOBER 4, 2024

Migrants cannot take out loans for an e-bike or similar due to their lack of credit history and necessary documents, which also prevents them from registering a moped or a cars. The automation of these processes has proven effective: over two years, less than 3% of bicycles were stolen from the company that serves 8,500 users.

Automation 173

Automation AI AI Data Analysis 173

AWS Machine Learning Blog

DECEMBER 14, 2023

To train a custom model, you first prepare training data by manually annotating entities in documents. To reduce the effort of preparing training data, we built a pre-labeling tool using AWS Step Functions that automatically pre-annotates documents by using existing tabular entity data.

Automation 102

Automation Natural Language Processing Machine Learning Deep Learning 102