The integration of machine learning into business analytics is expanding insights for organizations and allowing analysts to more deeply understand their data. Gartner predicts that this year, 80% of data scientists will have deep learning in their toolkits.
The infographic below provides more insights and shows how MicroStrategy helps analysts and data scientists get the most out of their data science applications.
Looking to Leverage Machine Learning?
MicroStrategy offers a unified platform for creating and deploying statistical functions and machine learning models. With MicroStrategy’s API environment and connectors to hundreds of data sources, analysts and data scientists can pull in governed data, guaranteeing both its integrity and the data integrity of their models. Using the R Integration Pack and MicroStrategy, business analysts can produce predictive models without coding knowledge and disseminate those results throughout their organization.
Data scientists can use MicroStrategy’s API ecosystem to create their own models in the coding language of their choice, analyze it wherever they’d like, and then deploy their model predictions to thousands of users through MicroStrategy, breaking down the silos between data scientists and business users.
Want to learn more about trending topics such as machine learning? For future-forward insights and advice from leading analysts and influencers, including Forrester Research VP Boris Evelson, Constellation Research Founder Ray Wang, Ventana Research SVP David Menninger and Impact Analytix Founder Jen Underwood, download the 20+ page resource guide 8 Enterprise Analytics Trends to Watch in 2018.