DIGITAL TRANSFORMATION – CHALLENGES IN MACHINE LEARNING

  • Failure prevention for a wide variety of devices, and systems by predicting failure possibilities early
  • Anomaly detection in streaming data from devices, or other data sources like document digitization systems for quality control
  • Quick and accurate analysis based on images, and historical data
  • Fraud detection in financial transactions, especially credit cards, to quickly detect frauds and take actions, or even proactively prevent them
  • Sentiment analysis on social media posts, news feeds, and other forms of text feeds


digital transformation, product engineering services, mobility, web applications, enterprise integration, machine learning, big data analytics, Web UX, digital payments, digital interfaces, cloudification, social media integration

Data
Requirements

digital transformation, product engineering services, mobility, web applications, enterprise integration, machine learning, big data analytics, Web UX, digital payments, digital interfaces, cloudification, social media integration

Computing
infrastructure

digital transformation, product engineering services, mobility, web applications, enterprise integration, machine learning, big data analytics, Web UX, digital payments, digital interfaces, cloudification, social media integration

Talent
Availability


digital transformation, product engineering services, mobility, web applications, enterprise integration, machine learning, big data analytics, Web UX, digital payments, digital interfaces, cloudification, social media integration

Technology Maturity

digital transformation, product engineering services, mobility, web applications, enterprise integration, machine learning, big data analytics, Web UX, digital payments, digital interfaces, cloudification, social media integration

Problem Selection