FLAMINGO Ai FOR Technologists

Machine Learning proponents often discuss Supervised Learning as the first generation of Ai. This form of Ai is slow to learn and deploy and requires vast quantities of data, coding and tagging in order to function. These solutions are usually black-box Ai which means they are often difficult to control and not easily interpretable by humans.

Flamingo Ai offers the next generation of Ai known as Unsupervised Machine Learning with Reinforcement Learning. Unsupervised Learning refers to Machine Learning of test data which is unstructured and uncategorized. Instead of responding to operator feedback, unsupervised learning identifies commonalities in the data and reacts based on the presence or absence of such commonalities. Unsupervised Machine Learning learns quickly and continuously from each customer interaction it observes and takes part in. Unsupervised Learning does not require upfront hypothetical customer intent development; the machine discovers significant patterns in the data by itself. Reinforcement Learning means machines are designed to learn from experience, with desirable behaviors recognized and undesirable behaviors de-prioritized. These behaviors may be taught in advance but don’t need to be. Rather, they are observed through ongoing customer interactions.

Unsupervised Learning does not mean uncontrollable. The Flamingo Ai platform is completely inspectable and auditable, making it ideal for managing risk and security internally.