AREA Research Project on Best Practices of Merging IoT +AI+AR
AREA members are increasingly managing real time data streaming from connected objects and spaces (aka IoT) and seek to reduce delays and errors, and increase key performance indicators by bringing those data into view in context for users to consider when taking actions in the real world.
For example, in the connected operating room there are medical devices continually capturing observations (data). These data could be sent to/received by an AI-based system and, based on data type and values and the stage in a procedure, the system determines what information is critical to the surgeon and/or other OR staff at the present time. The critical data would/can then be presented to the relevant healthcare professional via AR.
A plant floor is another environment in which data from multiple connected devices can be centralized and more manageably acquired (say, via a SCADA interface) and then used, via AI and AR, to guide service professionals or send a plant floor operator or manager to a specific instrument in need of attention.
This research project seeks to increase dialog between stakeholders in enterprises and suppliers of IoT, AI and AR technologies and to propose potential courses of action to address (lower the impacts of) at least the following two challenges facing enterprises who seek to combine IoT, AI and AR in the workplace:
To achieve the goals of this project, a broad system level view of IoT, AI and AR technologies is necessary. The research project will build upon on in depth interviews with both customers and suppliers of technologies, and secondary research. Researchers’ specific knowledge about IoT and AI will be deepened with interviews conducted with AREA members and surveys, producing a holistic and comprehensive view.
The research of current IoT, AI and AR technology trends will answer at least the following question for AREA members.
This AREA research project will produce three deliverables:
Using the research report and interactive tool produced in this project will permit AREA member companies seeking to merge IoT, AI and AR to quickly and more accurately pinpoint the best use cases, the technology barriers remaining to be overcome and to have fruitful dialog with suppliers of IoT, AI and AR about integration scenarios and roadmaps.
A case study suitable for public release by the AREA will summarize the state of the art and use of the decision support tool. The publication of the case study will permit stakeholders in the broader AR ecosystem to discuss integration of IoT, AI and AR and discover one of the benefits of AREA membership.
Please use the submission form below to submit your proposal on or before 12 PM Eastern Daylight Time March 25th.