The Floating Point platform allows us to monitor and manage the AI solution after deployment and while it is in use in the real world. We are able to monitor for data drift over time and to check for any errors in the accuracy of our model over time.
Our dedicated support engineers can monitor, compare and prepare future versions of your model. We are able to monitor for data drift and to check for any errors in the accuracy of our model over time.
The platform enables close monitoring of usage, costs, and scalability aligned with your business needs. It ensures contracted uptime and a high level of service.
Our Data Scientists use the Data Investigation tools to look for any biases or imbalances in your training data set
We when you train on the Forge you can just let experiments run without worrying about increasing Cloud costs. You get the benefit of cost control and improvement in quality due to the increased number of experiments you can run
Experiment Tracker allows us to carry out many hundreds of different experiments with different data and models, to identify which model performs the best, before promoting it to production
Inference Watcher continuously monitors models in a live environment to ensure they are maintaining a high level of performance
We specialise in Computational Linguistics, Natural Language Processing (NLP), Machine Learning, Deep Learning and Data Analytics.
We use the latest AI technology, tools and techniques to enable businesses to onboard data quickly and at scale and harness a variety of models and AI applications to gain fresh insights that support more informed decisions.
We work in partnership with our clients to ensure we find the best solution to solve their impossible problem and drive positive business outcomes that make a measurable impact on performance, innovation and efficiency.
Smith & Nephew
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