Automation Data Extraction Responsible AI 
AWS Machine Learning Blog
MARCH 20, 2025
In a world whereaccording to Gartner over 80% of enterprise data is unstructured, enterprises need a better way to extract meaningful information to fuel innovation. With Amazon Bedrock Data Automation, enterprises can accelerate AI adoption and develop solutions that are secure, scalable, and responsible.
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. Appian has led the charge by offering generative AI skills powered by a collaboration with Amazon Bedrock and Anthropics Claude large language models (LLMs).
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
Towards AI
SEPTEMBER 26, 2024
Utilizing efficient web scraper APIs allows developers to quickly extract structured data without the need to create and maintain complex scraping systems. These tools help both large enterprises and smaller-scale projects by reducing the time and resources required for data collection.
NOVEMBER 27, 2024
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon using a single API. In this step we use a LLM for classification and data extraction from the documents.
AWS Machine Learning Blog
AUGUST 1, 2024
Manual data extraction and analysis can slow down the workflow, leading to longer processing times and lower customer retention. Errors in data interpretation or inconsistencies in applying guidelines can result in incorrect risk assessments, premium leakage, and lost customers for the insurer.
ODSC - Open Data Science
OCTOBER 25, 2024
Focusing on multiple myeloma (MM) clinical trials, SEETrials showcases the potential of Generative AI to streamline data extraction, enabling timely, precise analysis essential for effective clinical decision-making. Delphina Demo: AI-powered Data Scientist Jeremy Hermann | Co-founder at Delphina | Delphina.Ai
Expert insights. Personalized for you.
106 
Let's personalize your content