Discussing Innovation within Financial Services in a Time of Pandemic

How will we see innovation within financial services and other critical industries evolve during the pandemic? Introduction The world economy has slowed in response to the recent novel coronavirus pandemic. Tourism, food and beverage, and travel businesses have shuttered their physical and virtual doors, for the most part. Some critical industries soldier on either with…

Ecosembles: A Rapidly Deployable Image Classification System Using Feature-Views

Adrian Rosebrock, Tim Oates, Jesus Caban Abstract. Constructing an image classification system using strong, local invariant descriptors is time-consuming and tedious, requiring many experimentations and parameter tunings to obtain an adequately performing model. Furthermore, training a system in a given domain and then migrating the model to a different domain will likely yield poor performance. As…

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” (with fewer than two percent classified as “significant”), wildfires that reach populated areas wreak havoc on those who live there. Furthermore, factors such as weather…

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 manual classification hours, 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 migration. Problem…

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 more transparent way to anticipate project milestones and revenues. We…

The Value of Going “Old School” in Data Science

By Dr. Tim Oates, Chief Data Scientist When I entered graduate school to work on a Ph.D. in Artificial Intelligence, the outlook for the field was uncertain, with dwindling attendance at the main national conferences and at best a lukewarm job market.  Things could not be more different today!  There’s genuine excitement in academia and…