Knowledge Management, AI, and Mentorship

Are you as crazy about Google Maps as I am?  I really love being able to check it before leaving on a drive – if there’s traffic on my way, it will tell me.  If I need to reroute, I can avoid complications before I run in to them.  I can evaluate the best route, be on my way, and not worry.  Google will even correct mid-trip if it sees congestion and finds a better route.


In spite of my enthusiasm for Maps, I’m a little disappointed when I use it.  I find that I don’t recall the directions as well as I do when I have to figure out the route on my own.  I focus on obeying Google’s discrete, turn-by-turn directions at the expense of understanding the overall route.  In some ways I feel less prepared to make that trip again should my phone be unavailable, because I rely more on Google, and less on my brain.


Bringing this back to the topics at hand, I’m curious to see if there are parallels between my use of Maps and a person’s use of AI-assisted Knowledge Management.  While I’m always in favor of retaining knowledge, I hope we can find a way to do so that augments rather than compromises the learning experience.  How can we make information available in a way that stimulates learning, and reinforces the mentorship model?


As one of our topics for this year’s DTS, I hope you’ll bring some thoughts on this topic to DTS this July.  Let’s discuss!



Author: Robert Yori

Oldcastle, Inc

Robert Yori explores innovative uses of technology to better design, visualize, and deliver projects. He works at Oldcastle, Inc as part of the Digital Engineering team – a technologically-oriented R&D group tasked with identifying strategic technologies, process improvement, software development, and other initiatives.

He has provided consulting services to in the architectural, construction, development, and product manufacturing fields, and, in architectural practices, led Knowledge sharing, big data analysis, and computational design literacy efforts. He also led a team responsible for technology-related R&D, strategic guidance to project teams, and designing and delivering learning curricula. Prior to focusing on technology, he designed and delivered architectural projects in the commercial, institutional, retail, and interior markets.

Robert has taught at New York University and the New York School of Interior Design, and has lectured extensively, including at the AIA Conferences, Autodesk University, RTC, BIMForum, and ACADIA. He was the AIA’s 2016 Technology in Architectural Practice Chair, and led the organization’s 2017 Innovation Awards.

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