Demystifying Machine Learning

What is machine learning?

Machine learning is the process by which computers are enabled to learn, grow, and change without following explicit instructions by using algorithms, statistics, and user interactions to analyze and make predictions based on patterns in data.

Machine learning is a subsect of artificial intelligence (AI). AI refers to a computer system’s ability to perform tasks that normally require human intelligence, such as visual perception, speech recognition, communication, decision-making, planning, learning, and the ability to move and manipulate objects.

Why does machine learning matter?

With the constant evolution of the field, there has been a subsequent rise in the uses, demands, and importance of machine learning. Machines can aid in the filtering and processing of vast amounts of data, making highly accurate and informed predictions that can be applied in a number of different industries.

Applications of machine learning in various industries

Retail Industry


  • Predictive inventory planning
  • Recommendation engines
  • Upsell & cross-channel marketing
  • Market segmentation & targeting
  • Customer ROI and lifetime value

Financial services

  • Risk analytics & regulation
  • Customer segmentation
  • Cross-selling & up-selling
  • Sales & marketing campaigns
  • Credit worthiness evaluation
  • Portfolio management
Healthcare icon - red heart with heartbeat line


  • Alerts & diagnostics from real-time patient data
  • Disease identification & risk stratification
  • Patient triage optimization
  • Proactive health management
  • Healthcare provider sentiment analysis
Insurance Industry


  • Insurance advice & customer service
  • Transaction & claims processing
  • Risk analysis & fraud prevention
  • Fine-tuning actuarial models by running them through ML paths
Manufacturing icon - a factory with three smoke stacks


  • Predictive maintenance or condition monitoring
  • Warranty reserve estimation
  • Propensity to buy
  • Demand forecasting
  • Telematics


  • Customer retention
  • Bundling
  • Predictive Customer offers
  • Customer feedback analysis
  • Risk analysis
  • Demand forecasting

Discover the potential for machine learning and artificial intelligence in your organization.