Valor—the open source model testing and evaluation tool—will be presented in the final round of the xTechScalable AI 2 Project Linchpin competition during the 2024 AUSA Annual Meeting & Exposition. Please join the presentation or meet the team on site:
Monday, October 14, from 9 a.m to 5 p.m. (Booth 2261 in the Innovator’s Corner): Visit our xTech booth for your personalized demonstration of our T&E innovations.
Tuesday, October 15, at 11:30 a.m. (Marriott Marquis’ Catholic University Room, Level M1): Listen to our cofounder Eric Korman and head of product Adam Salow pitch “Valor: A Platform‐ and Model‐Agnostic Evaluation Store.”
If you miss us at xTech, meet up with us during exhibit hall hours at Booth 538.
New Case Study
Predicting Lightning-Induced Wildfires Through Data Fusion
Learn how Striveworks helps customers combine challenging data with data fusion methods. In this example, we fused disparate datasets—including weather patterns, lightning strike data, and historical wildfire information—to enhance wildfire predictions for our customer, a Fortune 500 government contractor, and the firefighting team they serve.
Mark your calendars to visit Striveworks at AUSA (Booth 538) to explore the latest advancements in AI models for domain awareness.
This year, we are focusing on solutions that support warfighters against adversaries who rapidly adapt to evade current detection methods. Striveworks provides proven solutions to help commands maintain confidence in their ability to effectively find targets. With Striveworks, joint teams can build and deploy machine learning models in hours (not months), monitor live performance, and remediate underperforming models just as fast—solving problems in real time.
Striveworks delivers the following critical capabilities to various commands, and we look forward to demonstrating these and more at AUSA:
Keep an eye out for us with our partners Esri and Oracle (Booth #2521), Klas (Marriott Marquis Dahlia Foyer & Boardroom), and Palantir (Booth #3431).
Platform Updates
Model Cards For Improved Navigation
Striveworks just unveiled an enhanced interface for our Model Cards. Easily review model details with customizable markdown layouts—complete with headings, lists, and images. As you move models from development to production, and from unclassified to air-gapped networks, bring your Model Cards with you. This upgrade improves navigation within the Model Catalog and offers efficient sorting and categorization.
The new view allows users to quickly review model data, including:
Interested in working with Striveworks? Curious about AI/ML projects that scale? Schedule a chat with our team to learn about our approach and how we’re making MLOps disappear.