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Artificial Intelligence Model Operationalization (ModelOps)
Artificial intelligence (AI) model operationalization (ModelOps) is a set of capabilities that primarily focuses on producing, monitoring, and improving analytic models that both include and surpass machine learning models.
What Small and Midsize Businesses Need to Know About Artificial Intelligence Model Operationalization (ModelOps)
ModelOps allows businesses to quickly move analytic models from the lab into production. It means that organizations can manage and scale models so that they can keep up with product demand and also monitor models to improve their function. It is a practical and efficient way to more fully implement AI in an organization’s products and services. This efficiency helps SMBs more quickly recoup their development investment since sales can begin more quickly.
Related terms
- Business Intelligence (BI) Services
- Metadata
- Autonomous Vehicles
- Advanced Technology
- Big Data
- Business Analytics
- Digital Disruption
- Enterprise Application Software
- Clickstream Analysis
- Artificial Intelligence (AI)
- Computer-brain Interface
- Data Mining
- Master Data Management (MDM)
- Analytics and Business Intelligence (ABI)
- Real-time Analytics
- Predictive Analytics
- Data And Analytics
- Business Intelligence (BI) Platforms
- Data Broker
- Information Delivery
