This looks as opprotunity for more innovation. It may happen that all three approaches will be embraced - write new code for critical apps, device auto convert utilites for some predictable code and change code manually.
The author has made a very valid point, which comes at the problem from a different point of view, but points at the same disaster, running out of memory and crashing to a halt. As Mr Anderson points out, memory is a big deal, and it is far from infinite. While I don't understand fully the differences between IPV4 and IPV6, his point about the memory problems is certainly valid enough to make one ask "is this really a good idea?" And the prospect of programs just continuing to allot memory space and then not release it does certainly describe a very real and very fatal fault in a lot of current code. And the description of the effort needed to make changes is sort of depressing, I think.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.