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BEST PRACTICES & STRATEGIES

AR can provide an interface to humans, enabling interface for machine learning. For instance, speech-to-
workers and leaders to streamline processes through a text and text-to-speech can become major AR
rich set of data and connecting employees directly to innovations for machine learning, turning audio files
warehouse management or electronic health data, into written text and vice versa. Devices understand
whereby information is projected onto the respective that way how we move and talk, which means that they
environment. can read gestures.

AR and 3D printing According to the research firm IHS Markit, the global
market for consumer AR and VR content and apps
3D printing is an exploding market in industrial grew impressively (72%) last year, reaching $3.2
manufacturing, however, the unique design billion. The reasons for that are mainly the continued
requirements of complex 3D structures are not ideally popularity of apps that include AR features across
suited for existing software tools. The editing and genre categories like entertainment, games, retail,
visualizing of models with the help of AR will close the social and communications, and the high-profile
cognitive gap between engineer and design, and bridge releases of Apple’s ARKit and Google’s ARCore SDKs
the separation of keyboard, mouse and 2D screen, so that spurred interest in AR apps, the firm believes.
that designers can work with the product intuitively and
creatively. Which interfaces are created for AR technologies and
how companies integrate future innovations will make
AR and machine learning the difference, just as the combination with other
techniques will unlock the full potential of Augmented
AR is also expected to play a major role in machine Reality. ◊
learning. Just as the keyboard was once an important
innovation for the computer, AR will be an innovative By Daniela La Marca

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