Mosaic provides efficient and effective algorithm and model deployment services. In collaboration with our customers, we prototype a number of different candidate machine learning models, and eventually select the top performers to be deployed enterprise-wide.
Deployment into your existing IT infrastructure requires a different skill set than algorithm design and selection. Our data scientists are well versed in a number of data platforms and are adept at integrating R and/or Python scripts into consumable reports, dashboards or visualizations.
Mosaic has been working with a leading pet Biotech company on integrating machine learning into the organization’s products, giving pet owners more visibility into the quality of life their pets have by identifying genetic traits that may impact their health or behavior.
We explore how ML & optimization can aid the risk assessment and management process with an eye towards robustness and resiliency.
Mosaic helped a trucking and logistics operator optimize their machine learning deployment on Amazon Web Services (AWS). As an AWS Select Partner, Mosaic was well-positioned to deploy machine learning engineering and serverless architecture services that sped up model inference while performing a minor overhaul of the AWS architecture and code base organization.
Network science and simulation provide a robust framework for the study of network systems in all their complexity.
Mosaic used NLP algorithms to automatically extract various insights about people calling into a customer call center. We created a process to identify at-risk customers that called the previous day based on the transcript of the call.
Advanced analytical techniques help manufacturers reduce inventory levels of parts required in manufacturing activities while maintaining confidence that they will not run out of parts. Mosaic was tapped to help a manufacturing company in the semiconductor industry solve the complex problem of optimizing their inventory for both future orders and historical demand rates
Anytime you wish to predict the transient state(s) of something or someone constantly monitored by sensors, time series classifications are the right tool. This article will explain some basic concepts of using deep learning models for TSC and finish with a brief discussion of ways to improve the performance to save on cost and speed.
Algorithms can be trained to mimic human behavior, but what happens when the human developing the algorithm inadvertently allows bias into the training process?
Mosaic writes an in-depth view on the synergies between design thinking & data science. We also examine how these two disciplines can be used together.
We designed and deployed a custom deep learning based tool to extract images from millions of digital and scanned documents.