Many customers and prospects have told us they have projects they’d like to start immediately, but they are short-staffed or their data scientists lack the relevant ML expertise to undertake a new initiative. In response to this market demand, Mosaic offers a staff augmentation model to meet our clients’ machine learning & analytics needs.
Mosaic can rent your company a data scientist (or two) with the optimal skillset for your project at a competitive hourly rate, on a part-time or full-time basis, for as long as your project requires.
Our data science professionals have experience designing and deploying custom solutions steeped in predictive analytics, machine learning, and AI. Not only can our team bolster yours to develop these solutions, but we can help translate these insights back into business language.
We are ready to collaborate with your business leaders and technical teams to focus on your specific challenges.
Mosaic worked with a vet tech company to develop an encompassing pet wellness score and early disease-identification models using an AI-driven collar device that collects pet behavioral information and reports health insights to the owner’s app using IoT and sensor data techniques.
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.
Summary Our white paper explores the processes and opportunities presented by NLP for social media in extracting valuable data to drive improved operational and strategic decisions for R&D efforts. Natural language processing (NLP) is one of the most promising social media data processing avenues. It is a scientific challenge to Read more…
We explore how ML & optimization can aid the risk assessment and management process with an eye towards robustness and resiliency.
Both descriptive analytics and machine learning models can benefit greatly from using geographic data analysis to solve segmentation use cases.
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.
In this Q&A, we sat with Principal Data Scientist Priya Karanth for her take on the latest innovations and most powerful applications behind the ever-changing landscape of computer vision. Let’s see what lies beyond the surface.
We sat down with Senior Data Scientist Alex Tennant for his perspective on the opportunities and complexities of NLP and how Mosaic is paving the way for the consistent evolution of this powerful technology.
Mosaic built a computer vision solution to improve the process of a vehicle moving through an automated car wash.
We designed and deployed an AI model to predict shipments at risk of late fees for one of the world’s largest CPG businesses.