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

JUNE 25, 2024

Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. This provides an automated deployment experience on your AWS account. We provide a prompt example for feedback categorization.

Automation 119

Automation Prompt Engineer Prompt Engineering Categorization 119

AWS Machine Learning Blog

OCTOBER 24, 2023

In today’s information age, the vast volumes of data housed in countless documents present both a challenge and an opportunity for businesses. Traditional document processing methods often fall short in efficiency and accuracy, leaving room for innovation, cost-efficiency, and optimizations. However, the potential doesn’t end there.

IDP 129

IDP LLM Prompt Engineer Prompt Engineering 129

Unite.AI

JUNE 2, 2023

Based on this, it makes an educated guess about the importance of incoming emails, and categorizes them into specific folders. In addition to the smart categorization of emails, SaneBox also comes with a feature named SaneBlackHole, designed to banish unwanted emails.

Categorization 261

Categorization Natural Language Processing Automation AI 261

AWS Machine Learning Blog

FEBRUARY 8, 2024

These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. Send a pending documents reminder to the policy holder of claim 2s34w-8x. During preprocessing, the agent validates, contextualizes, and categorizes user input.

Automation 135

Automation Generative AI Categorization Python 135

ODSC - Open Data Science

OCTOBER 27, 2023

Companies in sectors like healthcare, finance, legal, retail, and manufacturing frequently handle large numbers of documents as part of their day-to-day operations. These documents often contain vital information that drives timely decision-making, essential for ensuring top-tier customer satisfaction, and reduced customer churn.

IDP 98

IDP LLM Large Language Models AI 98

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 82

IDP Generative AI AI AI 82

Unite.AI

NOVEMBER 19, 2024

AI and and generative AI can automate many of the manual, time-consuming tasks that are critical to the due diligence process. For instance, AI can streamline the organization and categorization of files needed for review by investors or buyers, reducing human error and ensuring compliance with regulatory requirements.

Categorization 113

Categorization Automation AI AI 113

AWS Machine Learning Blog

APRIL 19, 2023

The ability to effectively handle and process enormous amounts of documents has become essential for enterprises in the modern world. Due to the continuous influx of information that all enterprises deal with, manually classifying documents is no longer a viable option.

Categorization 89

Categorization Machine Learning Natural Language Processing ML 89

AWS Machine Learning Blog

SEPTEMBER 27, 2024

Processing these images and scanned documents is not a cost- or time-efficient task for humans, and requires highly performant infrastructure that can reduce the time to value. Northpower categorized 1,853 poles as high priority risks, 3,922 as medium priority, 36,260 as low priority, and 15,195 as the lowest priority.

Computer Vision 118

Computer Vision Automation Python ML 118

Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Additionally, it poses a security risk when handling sensitive data, making it a less desirable option in the age of automation and digital security.

Data Extraction 273

Data Extraction Neural Network Large Language Models NLP 273

Unite.AI

SEPTEMBER 16, 2024

Moreover, data integration tools can help companies save $520,000 annually by automating manual data pipeline creation. It offers fully automated data movement, enabling businesses to centralize their data in a warehouse. Key Features: Automated data pipelines with real-time updates, pre-built connectors, and hands-off maintenance.

Data Integration 173

Data Integration ETL Big Data Automation 173

AssemblyAI

AUGUST 26, 2024

Whether you’re building a customer service bot or automating international subtitles, you can now set minimum confidence levels to ensure only high-certainty transcriptions are processed. For instance, when automating multilingual call center transcriptions, you might set a high confidence threshold for language detection.

Categorization 173

Categorization Automation 173

Unite.AI

APRIL 16, 2024

AI-powered tools offer the capability to navigate vast databases, analyze clinical research data, streamline document searches, and access worldwide regulatory news. Additionally, the integration of automation technologies such as robotic process automation (RPA) and artificial intelligence (AI) is streamlining compliance workflows.

Automation 162

Automation Natural Language Processing AI AI 162

Unite.AI

SEPTEMBER 16, 2024

Moreover, data integration tools can help companies save $520,000 annually by automating manual data pipeline creation. It offers fully automated data movement, enabling businesses to centralize their data in a warehouse. Key Features: Automated data pipelines with real-time updates, pre-built connectors, and hands-off maintenance.

Data Integration 173

Data Integration ETL Big Data Automation 173

AWS Machine Learning Blog

JUNE 7, 2023

You can now retrain machine learning (ML) models and automate batch prediction workflows with updated datasets in Amazon SageMaker Canvas , thereby making it easier to constantly learn and improve the model performance and drive efficiency. Automating this process provides efficiency, scalability, and timely decision-making.

ML 73

ML Auto-complete Automation Categorization 73

Marktechpost

OCTOBER 6, 2024

Working with documents of infinite duration, which are typical in contemporary media formats like automated news updates, live-stream e-commerce platforms, and viral short-form movies, makes these problems very clear. The pipeline processes and organises data from long documents or media streams in a successful manner.

Large Language Models 104

Large Language Models LLM Categorization Automation 104

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. AI-driven automation and workflows are attractive to talent. AI-based analytics tools can help employees become more adept with handling and categorizing complex data.

Automation 130

Automation AI AI Categorization 130

IBM Journey to AI blog

AUGUST 1, 2023

Incident management systems have evolved from blunt tools where employees recorded incidents that they observed (which could happen hours after occurring) to a robust, always-on practice with automation and self-service incident management software, enabling anyone in the organization to report an incident to the service desk.

Automation 189

Automation Categorization DevOps Explainability 189

AWS Machine Learning Blog

SEPTEMBER 13, 2024

In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. This is a smaller version of task automation to fulfill a particular business problem achieved by chaining agents, each performing a set of specific tasks.

Metadata 127

Metadata Automation LLM NLP 127

IBM Journey to AI blog

AUGUST 28, 2023

These are two common methods for text representation: Bag-of-words (BoW): BoW represents text as a collection of unique words in a text document. Term frequency-inverse document frequency (TF-IDF): TF-IDF calculates the importance of each word in a document based on its frequency or rarity across the entire dataset.

Convolutional Neural Networks 188

Convolutional Neural Networks Data Mining Categorization Machine Learning 188

Marktechpost

JULY 17, 2024

As a project scales, it becomes more difficult for maintainers to keep track of all relevant contexts and documentation, thus hampering efficient project management. Existing tools like @gopherbot help by automating some tasks, but they require configuration through coding, which can be bothersome and not accessible to all contributors.

Large Language Models 90

Large Language Models Categorization Automation LLM 90

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Document categorization or classification has significant benefits across business domains – Improved search and retrieval – By categorizing documents into relevant topics or categories, it makes it much easier for users to search and retrieve the documents they need. politics, sports) that a document belongs to.

Categorization 115

Categorization Machine Learning Data Scientist Natural Language Processing 115

Marktechpost

OCTOBER 5, 2024

Document Summarization and Processing 15. ChatGPT can guide users through each step, clarify required documentation, and answer inquiries related to interest rates, eligibility, or repayment schedules. ChatGPT can assist compliance teams by summarizing regulatory documents, tracking policy changes, and generating compliance reports.

ChatGPT 103

ChatGPT Categorization Artificial Intelligence Artificial Intelligence 103

Unite.AI

MAY 10, 2024

AI-powered research paper summarizers have emerged as powerful tools, leveraging advanced algorithms to condense lengthy documents into concise and readable summaries. This makes it easier to navigate and summarize complex research papers, as the tool can highlight important entities, relationships, and topics within the document.

AI Research 147

AI Research AI Researcher Natural Language Processing Machine Learning 147

AWS Machine Learning Blog

AUGUST 22, 2024

It streamlines document review for anyone needing to identify medical information within records, including bodily injury claims adjusters and managers, nurse reviewers and physicians, administrative staff, and legal professionals. Discovery Navigator recently released automated generative AI record summarization capabilities.

Generative AI 105

Generative AI Auto-complete Software Development Automation 105

AWS Machine Learning Blog

AUGUST 2, 2023

Amazon Kendra supports a variety of document formats , such as Microsoft Word, PDF, and text from various data sources. In this post, we focus on extending the document support in Amazon Kendra to make images searchable by their displayed content. Images can often be searched using supplemented metadata such as keywords.

Automation 78

Automation Generative AI Metadata Data Scientist 78

Becoming Human

MARCH 12, 2024

It automates document analysis, enhances the identification of relevant legal principles, and establishes new benchmarks in the field. Applications of AI in legal research automation AI is reshaping legal research, introducing sophisticated tools that redefine how professionals conduct research, strategize, and engage with clients.

Automation 105

Automation Artificial Intelligence Artificial Intelligence NLP 105

Marktechpost

AUGUST 15, 2023

These successes have been consistently documented across diverse benchmarks, and these models have showcased impressive capabilities in language understanding. Recently, methods that make use of automated feedback mechanisms, whether they come from the LLM itself or from other systems, have drawn a lot of interest.

Large Language Models 98

Large Language Models Categorization LLM Natural Language Processing 98

AWS Machine Learning Blog

NOVEMBER 7, 2024

Access to car manuals and technical documentation helps the agent provide additional context for curated guidance, enhancing the quality of customer interactions. The workflow includes the following steps: Documents (owner manuals) are uploaded to an Amazon Simple Storage Service (Amazon S3) bucket.

DevOps 122

DevOps Generative AI Python Automation 122

IBM Journey to AI blog

NOVEMBER 10, 2023

Questions to ask as you define the scope of your organization’s needs: What business functions will be automated by the ERP software? Categorize the types of data you need to migrate and identify any redundancy by combing through the data and cleaning for accuracy. Which key performance indicators (KPIs) need to be tracked?

Automation 340

Automation Categorization AI AI 340

Unite.AI

JULY 9, 2024

The KGW Family modifies the logits produced by the LLM to create watermarked output by categorizing the vocabulary into a green list and a red list based on the preceding token. Automated Comprehensive Evaluation Evaluating an LLM watermarking algorithm is a complex task.

LLM 130

LLM Large Language Models Algorithm Automation 130

Dlabs.ai

JUNE 11, 2019

This means processing about 75,000 incoming invoices a year that all need to be evaluated and categorized. It took two full-time employees to categorize all the documents. For example, when rules were evident and we could simply categorize invoices with if-then. Schedule a free consultation with our AI expert.

Automation 52

Automation Categorization Natural Language Processing Machine Learning 52

Unite.AI

SEPTEMBER 5, 2024

Laxis takes the burden off your shoulders by automating meeting transcriptions , CRM updates, and lead generation. It also boosts productivity with automated smart summaries and CRM integrations. It provides automated note-taking and insightful summaries. Seamlessly integrates with Google Meet, Zoom, and other platforms.

Automation 246

Automation AI AI AI Tools 246

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. K-means clustering is commonly used for market segmentation, document clustering, image segmentation and image compression.

Machine Learning 243

Machine Learning Neural Network Algorithm Computer Vision 243

Becoming Human

MAY 9, 2024

As a result, we can automate manual processes, improve risk management, comply with regulations, and maintain data consistency. Document categorization includes sorting documents into groups for better classification and organization. NLP in finance includes semantic analysis, information extraction, and text analysis.

NLP 52

NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Marktechpost

APRIL 1, 2024

RAG enhances LLMs by retrieving relevant document chunks from the external knowledge base through semantic similarity calculation. The RAG research paradigm is continuously evolving, and RAG is categorized into three stages: Naive RAG, Advanced RAG, and Modular RAG.

Metadata 126

Metadata LLM Categorization Large Language Models 126