I agree data is king but it has to be useful, validated & correlated data / meta data in an era of exploding noise! To that end, there is a whole new re-definition of sensor / smart appliance data fusino that is evolving now a days!
thank you Colin but 19% penetration by `smart systems` implies that the `dumb systems` are 4x that which is 4 trillion, and that seems very high...I would had gone to the original report but $8,000 for the report is a little too much for my pocket ;-)...Kris
Although I admit this U. of Maryland(UoM) ISR’s “modeling hub” design methodology goes much beyond the Russian Patent Reviewer Genrich Altshuller’s TRIZ or TIPS (TIPS (Theory of Inventive Problem Solving)), because TRIZ only comes up a “Theory” to smartly apply “Someone somewhere has already solved something like my problem intelligently.”, while “modeling hub” will allow an entire ecosystem of smart-system components to spring forth from small-company innovators using the collaborators’ standards.
However, I think the jury is still out on whether there exists an integrated approach to discovering and codifying a common design methodology for smart systems. However, if ISR will be able achieve all the goals they set up to do, then I think they should be rated between Level 4 “Invention outside the paradigm” and Level 5, “Discovery” in system design or system engineering field according to Altshuller’s rating on “Levels of Innovation!
Note: Levels of Innovation by Altshuller:
• Level 5: Discovery (less than1%)
# Laser, radio, airplane
• Level 4: Invention outside the paradigm (~4%)
# Jet aircraft, integrated circuits, invention of telephone
• Level 3: Invention inside the paradigm (~18%)
# Automatic transmission, beeper - mobile phone
• Level 2: Improvement (~45%)
# Bifocal glasses, beeper
• Level 1: Apparent solution (no invention) –
Smart system with cognitive computer is a good idea. I guess we'll see more and more "smart" system once cloud computing becomes mature. At the end, Si-Fi living style will come and people will be too dependent on computer. BTW, computer is not a term people use, it may become some warmly and friendly names.
It appears that the English language has evolved on this issue, and "data" finds frequent usage as a singular noun, synonymous with "information."
To say "Data are the new currency" is grammatically correct, but to most English speakers it simply sounds wrong.
1 trillion for smart systems seems to be high as only recently the whole electronics sector world-wide was estimated to be at 1 trillion...but I guess it depends what is counted as smart and what is dumb...what is exactly the definition of "smart" in this context? (or in any other context for that matter?)...Kris
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.