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    The Reason Your AI Program Fails to Sustain Value

    When you think of data scientists, what comes to mind? If you’re like most people, you probably picture a team of math PhDs training models and...
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    Navigating AI/ML Uncertainty: Insights Borrowed from Election Polling

    Though not immediately obvious, data scientists who train and evaluate artificial intelligence or machine learning (AI/ML) models encounter many...
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    Striveworks Becomes an AUSA National Partner, Strengthening Innovation in Defense Technology

    Striveworks is proud to announce that it has been named as a National Partner to the Association of the United States Army (AUSA). As a National...
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    7 Categories for Evaluating MLOps Vendors [Free Worksheet]

    Evaluating machine learning operations (MLOps) vendors can be daunting. With so many providers claiming similar capabilities, it’s hard to figure out...
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    Model Remediation: The Solution to The Day 3 Problem of Model Drift

    Model failure is a huge concern for any AI-driven organization. The phenomenon that causes models to stop working in production—known as model drift,...
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    What Is Valor, the Striveworks Model Evaluation Service?

    Valor is a first-of-its-kind AI model evaluation service from Striveworks. This open-source tool saves data teams enormous time and effort in...
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    What Is AI Model Drift?

    In our recent post on model retraining, we touch on an unfortunate but unavoidable fact of machine learning (ML) models: They often have remarkably...
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    How to Choose an MLOps Vendor

    Once you’ve settled the “build vs. buy” debate, your research enters a new phase: how to choose a machine learning operations (MLOps) vendor. That...
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    Why, When, and How to Retrain Machine Learning Models

    Once you train a machine learning model effectively, it has the ability to perform incredibly useful tasks, like detecting objects on real-time...
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    Eric Korman Explains Valor and Its Step Change for Model Evaluation

    Eric Korman is the Chief Science Officer at Striveworks. He leads our Research and Development Team, which recently released Valor—our...
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    What Is Data Lineage?

    Data lineage refers to the full history of data points and actions taken on them throughout a machine learning (ML) workflow. By inspecting a...
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    Understanding Performance Bias With the Valor Model Evaluation Service

    Machine learning benchmarks like ImageNet, COCO, and LLM Leaderboard usually target a single metric, such as accuracy for classification tasks or...
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    To Build or Buy an MLOps Platform?

    It’s the oldest debate in business (or at least the oldest since Silicon Valley invented software-as-a-service). “If we need software, should we buy...
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    Text Classification With LLMs: A Roundup of the Best Methods

    This blog post is part of a series on using large language models for text classification. View the other posts here: LLMs for Text Classification:...
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    Striveworks Introduces Valor, the Open-Source Tool to Evaluate Models

    Striveworks, a leading machine learning operations firm, has launched Valor, a state-of-the-art, open-source tool that revolutionizes model...
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    Striveworks President Paul Brinkley: MLOps and Catching the Right Wave

    Paul Brinkley has had a diverse career. From doctoral studies on neural networks in the ’90s to senior roles with communications companies,...
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    Unsupervised Text Classification: Categorize Natural Language With LLMs

    This blog post is part of a series on using large language models for text classification. View the other posts here: LLMs for Text Classification:...
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    The Biggest Challenges With Geospatial Analysis

    This blog post is part of a series on geospatial analysis. View the other posts here: What is Geospatial Analysis? How Geospatial Machine...
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    Text classification using the Llama model

    LLMs for Text Classification: A Guide to Supervised Learning

    This blog post is part of a series on using large language models for text classification. View the other posts here: Unsupervised Text...
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    Geospatial Machine Learning Transforms Decision-Making (7 Use Cases)

    This blog post is part of a series on geospatial analysis. View the other posts here: What Is Geospatial Analysis? The Biggest Challenges With...
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