Some verticals where Machine Learning is disruptive.

Health Science

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  • Automated Patients Diagnosis
  • Automated Drug Discovery
  • Robot-assisted Surgery

Manufacturing

The combination of Machine Learning, advanced robots, additive manufacturing and the internet of things (IoT) will combine to usher in the fourth industrial revolution. In areas like electrical equipment, equipment and consumer durables, initiatives to apply AI technologies like deep learning and computer vision are underway. Here are a few concrete examples.

  • Automated Quality Control
  • Predictive Maintenance on Production Machines
  • Products Generative Design

Energy

The Energy sector is at a cross-road. The emergence of renewable energy sources, the electrification of transports and the de-nuclearisation pose great challenges to the industry. Leveraging the enormous amount of data, Machine Learning is helping the shift by:

  • Intelligent Production Forecasting
  • Detection of Faulty Entities in Electrical Network
  • Predictive Maintenance of Production Assets

Marketing

Machine Learning makes it possible to process, infer and analyze data on a massive scale. Data becomes insight into general and personal customers’ behavior, allowing businesses to act proactively on:

  • Customer Segmentation
  • Cross-Selling Optimization
  • Advertising Optimization
  • Customer Churn Prediction

Finance

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  • Fraud Detection
  • Loan Default Prediction
  • Risk Prediction

Logistics

AI has the potential to significantly augment current logistics activities from end to end. Cognitive Automation, a combination of AI and Robotic Process Automation, Predictive AI and AI-Powered Warehouse Management will reduce cost and create new value. A few examples include:

  • Inventory Needs Forecasting
  • Supply Chain Synchronization
  • Automated Supplier Relationship Management

Agriculture

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  • Production Forecasting
  • Plants and Animals Disease Detection
  • Yield Crop Optimization
  • Automated Crop Monitoring

Oil & Gas

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  • Protective Personal Equipment Detection
  • Security Hazard Monitoring
  • Well-Logs Interpretation
  • Production Forecasting

Retail

Innovative retailers have already taken steps to create an AI-enabled future. AI will impact virtually every aspect of retail operating models: Customer engagement, Merchandising and Back-Office automation. Specific applications include:

  • Customer Behavior Analytics
  • Shelves & Ads Placement Optimization
  • Sales & Revenue Forecasting
  • Personalized Cross-Selling
And many more!