Synaptiq 2020: An Impactful Year in Review

In 2020, Synaptiq wielded AI and data science to advance inspiring ventures from accessible banking in Mexico to life-saving technology n the healthcare industry. This article will explore our most impactful projects of 2020—and our predictions for how AI will evolve in 2021.

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…

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 personalize customer experiences and recommendations.…

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…