Alicia Frame is the Lead Product Manager and Data Scientist at Neo4j. Alicia's background is in the life sciences, and during the course of her career she has always worked to develop models and dashboards to help scientists and end users answer business critical questions using data and predictive models.
A common misconception in data science is that more data increases accuracy and reduces false positives. In reality, many data science models overlook the most predictive elements within data – the connections and structures that lie within. Neo4j for Graph Data Science was conceived for this purpose – to improve the predictive accuracy of machine learning, or answer previously unanswerable analytics questions, using the relationships inherent within existing data.
5 December 2021