Cloud Machine Learning Use Cases by Vertical
Example use cases by Vertical:
* Manufacturing
• Predictive maintenance or condition monitoring
• Warranty reserve estimation
• Propensity to buy
• Demand forecasting
• Process optimization
• Telematics
* Travel & Hospitality
• Aircraft scheduling
• Dynamic pricing
• Social media—consumer feedback and interaction analysis
• Customer complaint resolution
• Traffic patterns and congestion management
* Retail
• Predictive inventory planning
• Recommendation engines
• Upsell and cross-channel marketing
• Market segmentation and targeting
• Customer ROI and lifetime value
• Demand forecasting
• Marketing mix optimization
• Personalized offers
* Financial Services
• Risk analytics and regulation
• Customer segmentation
• Cross-selling and upselling
• Sales and marketing campaign management
• Creditworthiness evaluation
• Portfolio optimization
• Investment modelling
• Fraud detection
* Healthcare & Life Sciences
• Alerts and diagnostics from real-time patient data
• Disease identification and risk satisfaction
• Patient triage optimization
• Proactive health management
• Healthcare provider sentiment analysis
* Energy, Feedstock and Utilities
• Power usage analytics
• Seismic data processing
• Carbon emissions and trading
• Customer-specific pricing
• Smart grid management
• Energy demand and supply optimization
Source: Ebook on Insights and Resources from Google Cloud Next 2017 [PDF] & other online resources
* Manufacturing
• Predictive maintenance or condition monitoring
• Warranty reserve estimation
• Propensity to buy
• Demand forecasting
• Process optimization
• Telematics
* Travel & Hospitality
• Aircraft scheduling
• Dynamic pricing
• Social media—consumer feedback and interaction analysis
• Customer complaint resolution
• Traffic patterns and congestion management
* Retail
• Predictive inventory planning
• Recommendation engines
• Upsell and cross-channel marketing
• Market segmentation and targeting
• Customer ROI and lifetime value
• Demand forecasting
• Marketing mix optimization
• Personalized offers
* Financial Services
• Risk analytics and regulation
• Customer segmentation
• Cross-selling and upselling
• Sales and marketing campaign management
• Creditworthiness evaluation
• Portfolio optimization
• Investment modelling
• Fraud detection
* Healthcare & Life Sciences
• Alerts and diagnostics from real-time patient data
• Disease identification and risk satisfaction
• Patient triage optimization
• Proactive health management
• Healthcare provider sentiment analysis
* Energy, Feedstock and Utilities
• Power usage analytics
• Seismic data processing
• Carbon emissions and trading
• Customer-specific pricing
• Smart grid management
• Energy demand and supply optimization
Source: Ebook on Insights and Resources from Google Cloud Next 2017 [PDF] & other online resources
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