Data Science and Design Thinking
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.
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 writes an in-depth view on the synergies between design thinking & data science. We also examine how these two disciplines can be used together.
Computer vision is a powerful AI technique with vast business applications. In this white paper, Mosaic examines how to use machine vision for detecting airport layouts from the sky.
This is post #2 of a 2-part series focused on reinforcement learning, an AI deployment approach that is growing in popularity.
In this post I will provide a gentle introduction to reinforcement learning by way of its application to a classic problem: the multi-armed bandit problem.
Optimizing seasonal staffing and resourcing is a key challenge for many industries, especially when the exact timing of high-volume activity can change based on complex factors.
We designed and deployed a custom deep learning based tool to extract images from millions of digital and scanned documents.
This whitepaper reviews an approach for applying machine learning and predictive analytics in a B2B sales & marketing environment.
For one of the US’s largest healthcare systems, Mosaic designed and deployed a custom machine learning tool to identify anomalous purchase orders.
We helped one of the largest Children’s Healthcare Network more accurately forecast patient volume across their hospitals.
We built a custom AI-driven tool for one of the largest Oil & Gas firms in the world to identify fuel usage anomalies across their entire fleet.