Model Lifecycle Management

From annotations to intelligence, ThinkTrends brings models to life — they can be shared, cloned and re-purposed to other users in your team, saving you hundreds of productivity-hours. Our team is here to guide you on the entire model lifecycle journey.

We Make AI Pipelines Simple

In the real-world data is never neatly packaged for AI systems, and scaling models is a major challenge. In fact, the actual machine learning algorithm plays only a small role — you have so much more to worry about!

Source: Sculley et al.: Hidden Technical Debt in Machine Learning Systems

ThinkTrends was built on the fundamental idea that data science doesn’t occur in isolation. We understand the critical challenges faced by industries when it comes to data and the adoption of AI, which is why our end-to-end, scalable platform offers the following:

Engine to ingest structured and unstructured data
Complete business intelligence (BI) framework to understand and verify data
Robust data annotation and cataloging tools
End-to-end model builder and model explorer

We provide sessions and guides for choosing the best models. Our seamless workflow makes fine-tuning, building, and re-training models feel effortless. We show you how to publish the model using a ThinkTrends Models API – allowing your AI to be accessible by outside systems.

Building AI Models

Building the right model can be tricky. We assist you with feature engineering, selecting the right metrics to assess the quality of your AI model, and model optimization/tuning (i.e., understand trade-offs in quality, performance speed, and hardware/GPU resources) — making sure you have the right AI for the job!

ThinkTrends lets you visualize the model as it learns, allowing you to verify and benchmark the model against other models. If needed, you can easily re-train and improve existing models from where you left off.

Transfer Learning and Model Reusability Support

Lack of ample examples can often be a roadblock when training custom neural networks from scratch. Don't worry, you don't need thousands of them! At ThinkTrends, we understand that real-world scenarios often don't offer a multitude of examples for learning.

Our proficient team steps in to provide labor support for transfer learning - a potent technique that allows the creation of models based on existing solutions. We not only guide you through sharing and repurposing existing models but also handle the process for you, saving you and your team from many labor-intensive hours

Scaling AI in Your Infrastructure

With the help of our technical staff, become an AI rockstar in your organization. We support both individuals and large teams to scale end-to-end machine learning development and deployment.

Our staff will guide you on the best-practices for publishing high-quality models and scaling the platform to meet the demands of your organization. Our AI management tools give you complete visibility of machine learning jobs within your infrastructure.

AI Resource Monitoring

Machine learning comes in many different flavors and complexities. Most deep learning and machine learning models require powerful servers to execute the algorithms. Having the ability to easily understand and manage the health of your servers is essential!

ThinkTrends gives you complete visibility into resources utilized for training and serving machine learning models. Our technical staff shows you how to best leverage the platform to manage all your AI models from simple graphical interfaces.