Mosaic Data Science has deployed Practical AI to bridge the gap between AI research and practical implementation by creating AI-driven tools, systems, and applications that address specific challenges and tasks. Our solutions are designed to enhance efficiency, automate processes, improve decision-making, and deliver measurable benefits to our customers.
Mosaic was contracted by multi-national manufacturer of construction and mining equipment to develop a proof-of-concept predictive maintenance model to predict equipment failure before it happens to minimize downtime and optimize maintenance schedules.
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.
Mosaic helped a leading hospital optimize the scheduling of elective surgery and created a better daily rhythm for surgeons.
Mosaic developed an innovative optimization app for the green power sales function at a leading utility, helping them recommend suites of renewable energy products to meet corporate carbon footprint reduction goals within budgetary constraints.
Mosaic designed and deployed custom computer vision models to automate asset recognition & inform inspection decisions.
Mosaic built an automated cooking prediction & optimizer using deep reinforcement learning to improve short term cooking operations.
A leading clothing manufacturer distributor and retailer of clothing realized they needed to fortify their pricing decisions with machine learning insights.
Mosaic was engaged by a leading hotel chain to assess the best way to predict future demand for hotel rooms across their various properties.