What is Machine Learning

Machine Learning is the science of finding patterns and trends in complicated, real-world data using algorithms that iteratively learn from data. Machine learning allows computers to find hidden insights without being explicitly programmed where to look, whether those data sets are large, high dimensional, heterogeneous, or unstructured. The automated nature of Machine Learning applications enables people to make optimized, data-driven decisions in real-time.

Machine learning use case in real-World

  • The heavily hyped, self-driving Google car? The essence of machine learning.
  • Online recommendation offers like those from Amazon and Netflix? Machine learning applications for everyday life.
  • Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation.
  • Fraud detection? One of the more obvious, important uses in our world today.

Machine Learning Application by Industry

Manufacturing
  • Predictive maintenance or conditioning monitoring
  • Waranty reserve estimation
  • Propensity to buy
  • Demand forecasting
  • Process optimization
  • Telematics
Retail
  • Predictive inventory planning
  • Recommendation engines
  • Upsell and cross-channel marketing
  • Market Segmentation and targeting
  • Customer ROI and lifetime value
Healthcare & Life Science
  • Alerts and diagnistic from real-time patient data
  • Disease identification and risk stratification
  • Patient triage optimization
  • Proactive health management
  • Healthcare provider sentiment analysis
Travel & Hospitality
  • Aircraft scheduling
  • Dynamic pricing
  • Social media - consumer feedback and interaction analysis
  • Customer complaint resolution
  • Traffic patterns and congestion management
Financial Service
  • Risk analytics and regulation
  • Customer segmentation
  • Cross-selling and up-selling
  • Sales and marketing campaign management
  • Credit worthiness evaluation
Energy, Feedstock, & Utilities
  • Power usage analytics
  • Seismic data processing
  • Carbon emission and trading
  • Customer-specific pricing
  • Smart grid management
  • Energy demand and supply optimization

Data Source: Tata Consultancy Services, Using Big Data for Machine Learning Analytics in Manufacturing – TCS


Kofera Machine Learning

Kofera make use of various data from PPC campaign such as: clicks, impression, conversion, bounce rate, cpc, cost, keywords, match type, QS, position as well as using trends data such as social media and public data. Kofera analyse all those datasets to make performance prediction as well as to optimise current campaign performance. Learn more about Kofera Machine Learning

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