“1. Machine Learning – a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention….machine learning is a specific subset of AI that trains a machine how to learn.
2. Deep Learning – a type of machine learning that trains a computer to perform human-like tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing.
3. Natural language processing (NLP) – is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language. NLP helps computers communicate with humans in their own language, making it possible for computers to read text, hear speech, interpret it, measure sentiment and determine which parts are important.
4. Computer vision – is a field of artificial intelligence that trains computers to interpret and understand the visual world. Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they “see.” From recognizing faces to processing the live action of a football game, computer vision rivals and surpasses human visual abilities in many areas.”
Organizations should find comfort in knowing that these technologies are not going away. The sooner you can get your organization to become more familiar with the dynamic interactivities which AI technology can provide, and the benefits which doing so can produce, the sooner your organization will be able to begin including it into your customer experience planning roadmaps, and the sooner your organization will be able to connect with your customers at each potential touch point within their customer experience journey.
In the weeks to follow, I will continue writing about each of the branches of AI technologies which have yet to be discussed in greater detail (we already “Drilled” into Machine Learning [pun intended], in last week’s post), covering Deep Learning next week, then Natural Language Processing and Computer Vision in the following weeks, in an effort to: further our familiarity with AI, and better understand the potential customer experience benefits for each one through some example applications.
Brendan Hukill 