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Introducing Field Extraction: Automate Data Extraction at Scale
Eolas Medical Enhances Clinical Knowledge Access with Agentic Document Extraction
Agentic Document Extraction: Live Demo & the Steps You Need to Get Started
Auto-Fill Job Applications with Agentic Document Extraction
Introducing Field Extraction: Automate Data Extraction at Scale
Over the past four months, LandingAI’s Agentic Document Extraction tool has seen rapid adoption across industries. Motivated by this momentum, our team has been hard at work expanding the tool’s capabilities. We’re excited to introduce a major new feature: Field Extraction. What Is Field Extraction? Field Extraction enables you to extract structured data directly from […]
Eolas Medical Enhances Clinical Knowledge Access with Agentic Document Extraction
About the Customer Eolas Medical is a leading healthcare technology company dedicated to streamlining access to medical knowledge right at the point of care. Founded by Dr. Declan Kelly, an emergency medicine physician by background, Eolas translates to “knowledge” or “information” in Irish, reflecting the company’s mission to empower clinicians with rapid, reliable access to […]
Agentic Document Extraction: Live Demo & the Steps You Need to Get Started
In this webinar, learn about Agentic Document Extraction (ADE), an agentic vision technology that revolutionizes how you extract and process structured data from complex documents. Designed for developers, this webinar demonstrates how ADE leverages layout-aware parsing, visual grounding, and agentic workflows to deliver high-accuracy extraction—without the need for manual template configuration or model fine-tuning. What […]
Auto-Fill Job Applications with Agentic Document Extraction
I’m sure—like myself and millions of others—you’ve spent hours copying and pasting the same information into job applications 🥱🎯. In this tutorial, we’ll walk through how you can build a powerful automation tool that extracts key data from your resume and fills out LinkedIn job applications for you—automatically! Thanks to LLMs, “developer” is now a […]
Watch Andrew Ng’s BUILD 2024 Keynote on the rise of AI agents and agentic reasoning. Discover how these advancements are shaping the future of artificial intelligence.
In this tutorial video, discover four ways of evaluating the performance of a Classification computer vision model in LandingLens on Snowflake: Model metrics such as F1, Precision and Recall Confusion matrix, confidence scores and visual inspection of misclassifications Heatmap overlays on image pixels Evaluations sets and side-by-side comparisons
In this video tutorial, you will see how to configure four computer vision models and begin model training jobs in LandingLens on Snowflake. Learn about data partitioning, GPU provisioning, and model training configurations. Monitor training progress through loss charts.
Bring images into a Snowflake stage and sync the contents with LandingLens on Snowflake. This tutorial uses pre-labeled images for a binary classification project. It shows how to create the stage in Snowsight and how to grant the required permissions for the image sync to succeed.
Empowering Organizations to Harness Visual AI Directly within the Snowflake AI Data Cloud [Palo Alto, Calif.] [Nov. 12, 2024] — LandingAI, a pioneer in visual AI, today announced at Snowflake’s annual developer conference, BUILD 2024, the general availability (GA) of LandingLens, its Snowflake Native App, via Snowflake Marketplace. This major milestone marks the culmination of […]
Artificial intelligence is revolutionizing the Energy and Utilities industry, transforming critical areas such as Asset Inspection, Condition Monitoring, Predictive Maintenance, Load Optimization, and Infrastructure Planning. Join industry experts Titiaan Palazzi (Head of Power & Utilities GTM at Snowflake), Sonia García Fominaya (Data Scientist at Capgemini Engineering), and Carl Lewis (Sr. Director of Partnerships at LandingAI) […]
When your model encounters something new, it may be time to retrain. This video shows how a model in production is confused by an object it has not seen before – horses. In LandingLens it is easy to create a new class, label a small number of images and retrain the model to detect […]
Assign images to be labeled to one or more labelers. Create a labeling task for a set of images and choose how many labelers should complete each task. Track the team’s progress labeling the assigned images for your machine learning or computer vision project.
LandingLens has built-in tools to assist with labeling images that have poor contrast. Auto-contrast and histogram equalization are especially helpful for low-light and infrared images used in machine learning and computer vision.
See how to apply the concept of continuous learning when working with LandingLens and LandingEdge. Mark images that have been sent for inference correct or incorrect with human judgement. Then use the incorrect images to improve your model. You can automatically add images that you’ve run inference on using LandingEdge into your dataset in LandingLens, […]
Object Counting with Visual AI has wide-ranging applications across numerous fields. In retail, automated shelf auditing systems count products to maintain optimal stock levels. In manufacturing, counting components on assembly lines ensures quality control and detects production anomalies. Medical researchers use cell counting in microscopic images for disease diagnosis and drug development. In safety and […]
The LandingAI team has developed VisionAgent, which is a generative Visual AI application builder that accelerates the development and deployment of vision-enabled applications. VisionAgent acts as your Visual AI pilot when it comes to building vision-enabled applications. Going beyond just code writing assistance, VisionAgent creates multiple plans when prompted with a vision task, selects the […]
Learn how to automate your assembly verification process with AI! In this demo, Carl Lewis, Sr. Director of Partnerships at LandingAI, shows how to quickly and accurately verify components in a toolkit. By leveraging the integration between Tulip and LandingAI, Carl shows how production and manufacturing processes can be improved. To prepare for assembly verification, […]
“It increases efficiency, productivity and it increases our ability to identify issues in a much faster way, so it’s very exciting. This doesn’t mean we’re not going to need inspectors, it just means that the AI and ML models identify structures with deterioration right away so they can be inspected first.” Alyssa Grigoryan, SCE principal […]
In the rapidly evolving landscape of AI, utilities are increasingly turning to Visual AI technologies to streamline operations and enhance efficiency. However, not all AI applications are created equal—some are simpler to implement, while others demand more advanced resources and expertise. In this article, 6 Visual AI Use Cases for Utilities from Easy to Advanced, […]
LandingLens on Snowflake is a native Snowflake application. LandingLens empowers users to create and train Visual AI models quickly. Watch this overview video to see how it works. The LandingLens Visual AI Platform guides you through the process of uploading images, labeling them, training models, comparing model performance, and deploying models. Learn more: https://landing.ai/snowflake Get […]
Join our upcoming webinar hosted by Roey Mechrez, Head of AI at Tulip, and Carl D Lewis, Sr. Partnership Director at Landing AI. Gain valuable insights on how manufacturers can enhance their processes, such as kitting, shipping, and packaging, by developing an end-to-end vision solution.
The manufacturing quality control process today remains highly manual and error prone. Snowflake and LandingAI have partnered to provide a holistic solution for manufacturers which detects, classifies, documents, predicts, and prevents quality issues. Join experts from Snowflake and LandingAI for a demo of this native application available on the Snowflake marketplace.
Effective deployment of deep learning models is a critical yet often overlooked aspect of building scalable AI solutions. It is more than just a technical task—it’s a strategic necessity. A well-executed deployment ensures that models run efficiently, are scalable, and integrate seamlessly with existing systems. Poor deployment can result in performance bottlenecks, security vulnerabilities, and […]
Dr. Andrew Ng and the LandingAI Machine Learning Engineers demo VisionAgent, the agentic workflow solution from LandingAI. Check out these VisionAgent resources: VisionAgent web-based tool VisionAgent repo Discord
The article below was contributed by Nathan Zahler, Ph.D., Senior Informatics Scientist at OmniAb, Inc. Intro In the rapidly evolving landscape of pharmaceutical research, OmniAb stands at the forefront, empowering industry partners with the most diverse antibody repertoires and state-of-the-art screening capability, highlighted by OmniAb’s Ion Channel Technologies. Ion channels are pivotal in a […]
Visual AI transforms business operations across various sectors in today’s rapidly evolving technological landscape. At LandingAI, we’ve seen firsthand how our customers leverage Visual AI to enhance their workflows, improve safety, and ensure quality. One of the most compelling applications of computer vision video analytics is its ability to serve as an additional set of […]
Watch this immersive, hands-on webinar where you'll explore LandingLens's practical, cutting-edge features. This session is designed for professionals seeking to leverage the latest advancements in visual AI technology to enhance their workflows and drive impactful results.