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Valor Pitch at xTechScalable AI Competition

Valor Pitch at xTechScalable AI Competition

Striveworks is a winner of the AUSA 2024 xTechScalable AI competition for innovative AI model evaluation. Watch the live pitch of Striveworks' Valor.

The Reason Your AI Program Fails to Sustain Value

The Reason Your AI Program Fails to Sustain Value

Learn why your AI program might be failing to sustain value and discover effective strategies for model maintenance and remediation to ensure long-term success.

Navigating AI/ML Uncertainty: Insights Borrowed from Election Polling

Navigating AI/ML Uncertainty: Insights Borrowed from Election Polling

Learn how AI/ML model evaluation can benefit from techniques used in election polling to improve prediction accuracy and reduce uncertainty.

Identifying Fugitives Through Data Fusion and PAI/CAI

Case Studies

Identifying Fugitives Through Data Fusion and PAI/CAI

Law enforcement organization used Striveworks AI and data fusion to locate wanted fugitives based on publicly and commercially available data (PAI/CAI).

Data Scarcity Overcome With Synthetic Data and MLOps

Case Studies

Data Scarcity Overcome With Synthetic Data and MLOps

A defense customer deployed edge AI object detection for live video data by training ML on synthetic data, provided by SensorOps and Striveworks.

Prospector Adds Computer Vision and MLOps to Generative AI Platform

Case Studies

Prospector Adds Computer Vision and MLOps to Generative AI Platform

Prospector—a leader in data acquisition and analytics for the mining industry—adds CV and MLOps to its intelligence platform, OpenMine.AI, with Striveworks

Custom LLM-RAG Workflow Transforms Intelligence for Defense

Case Studies

Custom LLM-RAG Workflow Transforms Intelligence for Defense

MLOps Case Study: A defense customer used Striveworks to combine LLM-RAG with semantic search to retrieve and verify difficult-to-find information.

Predicting Lightning-Induced Wildfires Through Data Fusion

Case Studies

Predicting Lightning-Induced Wildfires Through Data Fusion

Read our case study about a Fortune 500 customer that used Striveworks data fusion to deliver 1.1m predictions in support of firefighting missions.

AI Object Detection for Aircraft Inspection Finds 27% More Defects

Case Studies

AI Object Detection for Aircraft Inspection Finds 27% More Defects

Read our case study about a Fortune 500 customer that used Striveworks object detection to process 49x more data and find 27% more defects on its aircraft.

Model Drift and The Day 3 Problem

White Papers

Model Drift and The Day 3 Problem

This white paper explores why machine learning models fail in production and how remediation solves this critical problem, delivering business value.

7 Categories for Evaluating MLOps Vendors [Free Worksheet]

7 Categories for Evaluating MLOps Vendors [Free Worksheet]

Download this free machine learning operations (MLOps) Vendor Scorecard to compare vendors systematically and find the right partner for your enterprise.

Understanding Neural Networks and the Training Process

Understanding Neural Networks and the Training Process

Training a neural network involves a lot of math and computation. This article illustrates the concepts involved in training without diving into math.

What Is Geospatial Analysis?

What Is Geospatial Analysis?

Learn about Geospatial Analysis: How it works, what types of data it uses, what industries rely on it, and how machine learning transforms it.

Model Remediation: The Solution to The Day 3 Problem of Model Drift

Model Remediation: The Solution to The Day 3 Problem of Model Drift

Learn about model remediation, the process that overcomes AI model drift to ensure the consistent, high performance of AI models into the future.

To Build or Buy an MLOps Platform?

To Build or Buy an MLOps Platform?

What do you need to consider when deciding to build or buy an MLOps platform? Learn the most important factors that lead to success for your AI/ML program.

What Is Data Lineage?

What Is Data Lineage?

Data lineage is like a family tree of data used in machine learning. This Q&A covers what data lineage is and why it matters for effective, transparent AI.

What Is Valor, the Striveworks Model Evaluation Service?

What Is Valor, the Striveworks Model Evaluation Service?

Watch Striveworks cofounder Eric Korman discuss Valor, the first-of-its-kind, open-source AI model evaluation service.

What Is AI Model Drift?

What Is AI Model Drift?

Learn about AI model drift, an overlooked problem in machine learning that causes the performance of ML models to decline over time.

How to Choose an MLOps Vendor

How to Choose an MLOps Vendor

How to choose an MLOps vendor: Learn the top questions to ask to differentiate between options and find the perfect MLOps platform for your organization.

Why, When, and How to Retrain Machine Learning Models

Why, When, and How to Retrain Machine Learning Models

Learn why, when, and how to retrain machine learning models to optimal performance using the Striveworks MLOps platform.

Eric Korman Explains Valor and Its Step Change for Model Evaluation

Eric Korman Explains Valor and Its Step Change for Model Evaluation

Striveworks Chief Science Officer Eric Korman details how, when, and why to use Valor, Striveworks’ new open-source model evaluation service.

Understanding Performance Bias With the Valor Model Evaluation Service

Understanding Performance Bias With the Valor Model Evaluation Service

Valor, the Striveworks model evaluation service, exposes performance bias to give ML practitioners insight into how models perform under real-world conditions.

Text Classification With LLMs: A Roundup of the Best Methods

Text Classification With LLMs: A Roundup of the Best Methods

Unpack the secrets of using LLMs for text classification with our deep dive into supervised and unsupervised methods, and k-shot prompting.

Striveworks Introduces Valor, the Open-Source Tool to Evaluate Models

Striveworks Introduces Valor, the Open-Source Tool to Evaluate Models

Striveworks, a leader in machine learning operations, has launched Valor, a state-of-the-art, open-source tool for model performance evaluation.

Unsupervised Text Classification: Categorize Natural Language With LLMs

Unsupervised Text Classification: Categorize Natural Language With LLMs

Learn how LLMs can be used for unsupervised text classification in this informative blog post about original research from Striveworks' R&D team.

The Biggest Challenges With Geospatial Analysis

The Biggest Challenges With Geospatial Analysis

Exploring the biggest challenges with geospatial analysis—including data volume, complexity, and resourcing—and how machine learning overcomes them.

LLMs for Text Classification: A Guide to Supervised Learning

LLMs for Text Classification: A Guide to Supervised Learning

Original research that identifies approaches and considerations for using supervised learning with large language models (LLMs) for text classification.

Geospatial Machine Learning Transforms Decision-Making (7 Use Cases)

Geospatial Machine Learning Transforms Decision-Making (7 Use Cases)

The top geospatial machine learning use cases, including military, firefighting, finance, insurance, public health, traffic management, and mining.

Navigating AI’s ‘Messy Middle’ in 2024

Navigating AI’s ‘Messy Middle’ in 2024

Get an inside look at what drove Striveworks' growth and success in 2023, and the potential of navigating the "messy middle" of AI in 2024.

Demystifying CV: The Power of Convolution in Neural Networks

Demystifying CV: The Power of Convolution in Neural Networks

Learn the core concepts of computer vision through a neural network lens, including what image data is and how convolution contributes to image processing.

Striveworks and Cipher Skin Partner on Analytics for Physical Therapy

Striveworks and Cipher Skin Partner on Analytics for Physical Therapy

Striveworks and Cipher Skin are excited to announce a partnership that will bring real-time AI/ML models to rehabilitation and physical therapy patients.

Sequential Learning through Knowledge Distillation

Sequential Learning through Knowledge Distillation

In this post, we explain the phenomenon of "catastrophic forgetting" in neural network classification tasks and describe some techniques used to alleviate it

Pruning ResNets for Fun and Profit

Pruning ResNets for Fun and Profit

Neural network models are often over-parameterized. In most cases, models can be greatly simplified and still maintain most of their accuracy with pruning.