Artificial intelligence is the apparently intelligent behaviour by machines, rather than the natural intelligence (NI) of humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".

Machine Learning (ML) is the subfield of computer science that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model based on inputs and using that to make predictions or decisions, rather than following only explicitly programmed instructions.

ML “evolved from the study of pattern recognition and computational learning theory in artificial intelligence” and it “explores the study and construction of algorithms that can learn from and make predictions on data—such algorithms overcome following strictly static program instructions by making data driven predictions or decisions, through building a model from sample inputs.”

For casinos, sports books, retailers and airlines, AI and ML can be used in the following ways:

  • Voice recognition
  • Voice search
  • Sentiment analysis
  • Flaw detection
  • Fraud detection
  • Recommendation engine
  • Facial recognition
  • Machine visions
  • Motion detection

Intelligencia has been working in the AI + ML field for several years now and can explain all of the parameters to think about before making the substantial investment this field requires. Only one-in-three AI projects find success, so it's imperative to get honest opinions and accurate assessments before starting any AI project. 

AI + ML