The 3 types of AI every tech person should know
Summary
Tesla for example has deployed an auto steering feature to its cars which simultaneously sends home all the data points it collects, interventions by the driver, successful evasions, false alarms, etc. Even if such implementations dont fail due missing big data or good discovery, then oftentimes it turns out, that on smaller scale deployments AI tends to be a quite an expensive tool to develop and maintain. Cognitive AI must be able to handle complexity and ambiguity with ease, while also continuously learn from its experience through data mining, NLP (natural language processing or understanding) and intelligence automation. For example a chatbot (the most popular form of cognitive AI) is basically just a machine that makes "best bets" at the users intention, and if not successful, can quickly page in a real support agent – thus helping to reduce their load overall. Examples include better ways to qualify sales leads, improving ad spend for online marketing or using knowledge graphs to surface contextual information, etc.
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