The development of algorithms and other technologies comprising Artificial Intelligence (AI) are driving the paradigm shift to the Third Platform. These enabling technologies are central to creating more end-user friendly and efficient IT solutions supporting the applications consumers use every day.
AI powers everything from taking a picture or sending a text on a smart phone, to searching the web, using Facebook, taking a trip or even saving lives by enabling a donor matching database.
Demand for more innovative end-user solutions that improve efficiency and cost-savings is driving advances in—and the convergence of—enabling technologies, including AI, Search Engine Optimization (SEO), speech recognition, natural language, and an up and coming functionality One Click Provisioning (OCP), among others.
Creating a responsive User Experience (UX) technology stack to support AI-enabled applications requires the use of accurate data input about end-user behavior, patterns and practices. Whether it is supporting the speech recognition used in Siri, the auto-fill feature in a text message or when completing an online form, AI relies on an accurate model of the user’s goals and is meant to more intelligently anticipate and interpret the user’s actions based on these goals.
If accurate data are not used in its design and development, attempts to enhance the UX can backfire and alienate a user from the solution provider. For example, if a job search website repeatedly pushes irrelevant listings to my inbox, I will most likely ignore future email messages from that site. The problem is that the provider gathered incomplete or inaccurate data when they “fished” my name and address from the back door of a site where I am a registered user.