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Five Ways to Leverage AI and Tableau

Improving Predictive Accuracy

A Fortune 50 healthcare conglomerate wanted to improve the predictive model of a mobile application that helps those suffering from allergic rhinitis to make informed decisions about potential exposure to outdoor allergens by predicting symptom severity.

A Better View of Operations for A Glimmer of Hope

A Glimmer of Hope, an American non-profit philanthropic organization, generates large volumes of data during its day-to-day operation, and wanted to effectively track the outcomes and impact of their programmatic work, improve operational efficiency, optimize costs and allow donors to see the full impact of their donations.

Innovative Medical R&D Insights Using Machine Learning with Gedeon Richter

Gedeon Richter, a multinational pharmaceutical and biotechnology company, leveraged Starschema's data science expertise to jointly develop an ML-based methodology to quantify the properties of the mitochondrial network within neurons to enable more effective analysis of medications for various neurological diseases.

Data Quality & Data Enrichment in the AI Era

In the age of artificial intelligence and machine learning, the standards for data quality have risen but machine learning can aid in cleansing and enriching data. In this webinar, Tamas Foldi, Starschema CTO and Tableau Zen Master presents the latest trends in data quality and enrichment and demonstrates how AI is helping to make cleaning and enriching data easier.