Technology and Software
Data Analytics and Machine Learning for the Technology and Software Industry
Bring new technologies to market faster with big data analytics and machine learning.
Develop Next Generation Technology Solutions with Data Analytics and AI
Enabling technology and software companies to tap into the potential of data and machine learning to develop new technologies and applications that customers crave — powered by the Databricks Unified Data Analytics Platform.
PRODUCT DEVELOPMENT AND SUPPORT
Analyze customer and market data to identify new product features and predict customer support needs for early intervention and remediation.
Sicherheitsüberwachung
Analyze product and network data in real-time to detect anomalies and respond to threats before they impact application and system performance.
Vorausschauende Wartung
From the factory floor to products in the field, analyze streaming IoT data to predict maintenance needs before they occur.
Unlocking the Value of IoT Data from Over 20 Million Devices
Learn how HP uses Databricks to apply advanced analytics to IoT sensor data to predict product issues and uncover new customer services.
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.
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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.
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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.
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Using AI to Uncover Revenue Opportunities
Read how People.ai uses machine learning to help enterprise customers drive actionable insights that uncover revenue opportunities.
Weiterlesen„Die Databricks Unified Analytics-Plattform hat uns dabei geholfen, die Zusammenarbeit zwischen unseren Data Science- und Data Engineering-Teams zu verbessern. Die positiven Auswirkungen auf unsere Innovationsfähigkeit und unsere Produktivität sind deutlich spürbar.“Fallstudie lesen
John Landry, Distinguished Technologist, HP, Inc.
