Data Analytics and Machine Learning for the Technology and Software Industry
Bring new technologies to market faster with big data analytics and machine learning.
Product development and support
Analyze customer and market data to identify new product features and predict customer support needs for early intervention and remediation.
Analyze product and network data in real-time to detect anomalies and respond to threats before they impact application and system performance.
From the factory floor to products in the field, analyze streaming IoT data to predict maintenance needs before they occur.
Automating Support Ticket Forecasting with Databricks, Delta Lake and MLflow
Learn how Atlassian built a robust, fault-tolerant, auditable, and reproducible ML pipeline for predicting support tickets at a granular level.
How Salesforce Uses Apache Spark and Databricks to Power Intelligent Services
Watch this Spark + AI Summit talk to learn how Salesforce uses Apache Spark and Databricks to discover new insights, power smarter decision making, and automate development workflows.
Threat Detection at Petabyte-scale
Watch this Spark + AI Summit keynote to learn how one of the largest tech companies in the world uses Databricks to monitor cyber threats in real-time.
Using AI to Uncover Revenue Opportunities
Read how People.ai uses machine learning to help enterprise customers drive actionable insights that uncover revenue opportunities.
“Databricks Unified Analytics Platform has helped foster collaboration across our data science and engineering teams which has impacted innovation and productivity.”