Managing AI with Speed and Scale: Tibco Launches a ModelOps Platform

Will Stofega – Principal Analyst, Advanced Analytics

Summary Bullets:

• Tibco’s ModelOps will help businesses ensure that the value of ‘the AI Model’ can be retained and improved throughout the model’s lifecycle.

• The complexity of AI can slow the deployment of models. Tibco’s ModelOps allows even non-programmers to move a model from development to deployment.

Artificial intelligence (AI) has quickly become a must-have tool for businesses. While AI has enabled businesses to gain new insights into their performance, its management and operational aspects have lagged behind, creating bottlenecks in deployment. In addition, companies are carrying a large amount of under-deployed and unrefreshed models that drain budgets and add to what is often referred to as ‘model debt.’ Some of these AI models are not utilizing the most recent data or have drifted away from their original business purpose. AI models and data sets continue to grow in size and complexity, requiring larger teams of software engineers to transform a model into an application.

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