Striveworks
Empowering organizations with AI-driven decisions
Striveworks is an AI application that offers a Machine Learning Operations Platform designed to help organizations build, deploy, maintain, monitor, and audit machine learning models efficiently. It provides features such as rapid model deployment, data and model auditability, low-code interface, flexible deployment options, and operationalizing AI data science with real returns. Striveworks aims to accelerate the ML lifecycle, save time and money in model creation, and enable non-experts to leverage AI for data-driven decisions.
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Features
- Rapid model deployment at scale
- Data and model auditability
- Low-code interface
- Flexible deployment options
- Operationalizing AI data science with real returns
Advantages
- Accelerates ML lifecycle
- Saves time and money in model creation
- Enables non-experts to leverage AI
- Provides governance and audit capabilities
- Facilitates multidisciplinary team collaboration
Disadvantages
- May require training for non-experts
- Complexity in setting up initial workflows
- Dependency on existing data infrastructure
Frequently Asked Questions
-
Q:What is Striveworks?
A:Striveworks is a Machine Learning Operations Platform for building, deploying, and monitoring ML models. -
Q:How does Striveworks help save time and money?
A:By enabling rapid model deployment, retraining models, and leveraging existing models for new questions. -
Q:Can non-experts use Striveworks?
A:Yes, Striveworks aims to empower non-experts to make data-driven decisions using AI.
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