Collaborating with clients to provide valuable, actionable insights to increase operational efficiency, reduce costs, and improve business outcomes.
We help teams and organizations implement end-to-end data science solutions incorporating software engineering best practices with a collaborative, human-centered approach.
In the insurance and banking industries, the track record of contributions made by women continues to grow. This is helping pave the way for future female scientists and analytics leaders. Predictive analytics and machine learning are no exception. At this panel session, learn from women in these fields what they've learned along the way, their wins and losses, and how they are helping others do the same.
Many businesses determine customer lifetime value (CLTV) in order to plan how to attract and retain customers. Traditionally, they use descriptive analytics to determine the average CLTV. However, with the expectation of receiving personalized services, these methods are inadequate.
Machine learning (ML) offers potential value to companies trying to leverage big data and helps them better understand subtle changes in behavior, preferences or customer satisfaction. Business leaders are beginning to appreciate... READ MORE
As the Internet of Things (IoT) adoption continues to accelerate, it is changing how we interact with the world around us in increasingly complex ways. The global effect is becoming more apparent as... READ MORE
While you hear more buzz about IoT, the internet of things requires machine learning and AI. And, while much of the attention in the IoT world is drawn toward the explosion of... READ MORE