Using Machine Vision for Detecting Wildfires

Using Machine Vision for Detecting Wildfires About 4.5 million U.S. homes are considered at high or extreme risk of wildfire. While wildfires mainly destroy unpopulated land and remain relatively “manageable” (fewer than two percent classified as “significant” or conflagrations), any wildfires of any size near populated areas wreak havoc on those who live there. Factors…

Custom Recommender Systems for Improving Customer Experience

Read about how we used Custom Recommender Systems to help the Chief Technology Officer and product team at a corporate training solutions provider. Our client wanted to improve the way customer success representatives recommended content to customers. We created models in a Python notebook to identify patterns in data and help personalize customer experiences and…

Smart Content for Document Classification in a Secure DMS

Our client planned to migrate millions of digital client-matter files to a DMS. Missing data would have required thousands of hours of manual classification work so we worked to build text extraction and machine learning models to efficiently and accurately classify documents. Our solution saved the law firm time and money on a successful digital…

Machine Learning for Finance Departments

Read about how we used machine learning to help the Director of Billing Services at a global leader for storage and information management services. Our client wanted to improve manual payment processing and streamline collections outreach to over 100,000 customers worldwide. We applied a machine learning model to the customer database to create lists of…

Machine Learning for Predicting Project Profitability

Read about how we used machine learning to help the Chief Information Officer and project management team at a large US construction firm predict project profitability. The business used an ad hoc approach to project planning that heavily relied on managers’ experiences. They wanted a clearer way to anticipate project milestones and revenues. We developed…

Conversational AI & Machine Learning for Patient Intake

Read about how we helped the Chief Technology Officer and product team at an electronic medical record company build the prototype of an app with a personalized user experience and predictive response features. We used a data-driven learning algorithm to identify patterns in responses patients input into a ChatBot, helping the product team demonstrate innovation…

Deep Machine Learning Applied to Cybersecurity Graphs

Read about how we helped the Chief Information Officer at an IT services company perform flexible similarity-driven search and outlier detection in cybersecurity data. We developed a novel approach to Graph Data Embeddings with human biases to explore ways of embedding nodes into vector spaces and biasing queries with human domain knowledge. Problem A government…