To the statement - "While there are limits to the amount of information they can assimilate effectively, there is a virtually unlimited desire to have access to more information if it is affordable - I would add - if it is affordable "and is actionable knowledge"
Turning information into actionable knowledge means huge increases in processing power which means huge increases in transistors.
Of course, the algorithms for all this knowledge extraction is a different matter altogether.
We need a disruptive technology that can break the extreme capital intensive model. Until then, life under someone else's reference flow will be bad. Why stick around when the same skill can be applied to social media?
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. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.