The Mosaic Data Science team recently participated in Landmark Ventures’ Dealmakers: Industrial Tech Salon 2023 event, where we networked with top thought leaders covering the most relevant and debated topics in the industrial industry today.
Mosaic Data Science is pleased to have been featured in the latest issue of CIO Review as the cover story of their AI and Machine Learning edition.
The data science consulting company was recognized for its deep experience wielding diverse analytics techniques to develop actionable solutions for a wide range of customers.
The data science consulting company was recognized for its deep expertise delivering AI & ML solutions to various industries regardless of analytics maturity.
This blog discusses the decision process for adjusting flight schedules in response to weather events using advanced analytics.
Mosaic applied our robust data analytics expertise across disciplines to develop novel, data-driven models that identify anomalous behavior for a leading aerospace government agency.
Mosaic helped a commercial airline integrate custom machine learning to predict departure runway and taxi-out time, cut operational costs, and improve the customer experience, aiding in reducing fuel emissions with AI.
Mosaic brought its deep expertise in aviation to design and test effective machine learning models that would predict the arrival and departure assignments of flights, helping facilitate automated testing and deployment of advanced predictive decision-support tools.
The nature of problems involving graphs calls for applying techniques tailor-made to work with them. In this post, we will focus on one class of graphs called Knowledge Graphs, describe some of the problems practitioners are trying to solve using them and explain how machine learning is used in this context.
Mosaic built a custom voice search solution using deep learning and state-of-the-art language models to intelligently parse complex mechanical operation manuals and return the desired search results