The biggest challenge to IOT is thus big data that requires an infrastructure
that is capable of processing billions or more data points each second.
If you thought e-commerce revolutionized the retail industry over the past
two decades, something much bigger is coming over the next ten years and that
is the Internet of Things (IoT). By deploying sensors and network
connectivity to everyday physical objects like cars, refrigerators,
television and buildings, it is possible to remotely connect, manage and
engage with these entities in ways that are not possible today.
Proponents of IoT describe a future where your car could interact with your
air conditioner at home so that your house could be appropriately cooled by
the time you reach home, or such devices could be automatically turned off
each time you leave the house. While such examples are not far from truth,
Understanding the core objective is alone not enough to find greater success
with content marketing. The reason very few marketers find their content
marketing strategies effective is because of the lack of personalization.
Content marketing is everywhere and it is not going away anytime soon. A
survey conducted by IDC found that CMOs at some of the biggest technological
companies in the world regarded building content marketing competency as the
second most important initiative in their organizations just behind ROI. Yet,
as another study from the CMO council shows, less than 2 p... (more)
The question of who owns the data is partly determined by the kind of cloud
infrastructure that is in place for your business.
The advantages that cloud based hosting brings needs to reiteration. Cloud
hosting is infinitely scalable, needs radically lower CapEx and with
distributed hosting, it is much more fail-proof than data hosted on your
premise. But the recent legal spar between Apple and the US government has
brought the limelight once again back on the debate about ownership of data.
In the case of Apple, the fight is over decrypting the iPhone used by a
criminal in order... (more)
You may have been hearing the term "mind share" (or "mindshare," depending on
whom you ask) a lot over the past year. While it's being talked about more
often, the concept goes back a millennium to the very first businesses. Think
about searching the internet. Do you simply search the internet or do 'google
it'? How about when you get injured? If you're like the vast majority of
people, you ask for a Band-Aid, not a bandage. These are two prime examples
of successful mind share. Google and Band-Aid established their names so
thoroughly in the minds of consumers that the brands be... (more)
This is how a typical software product lifecycle works: You gather
requirements, build a prototype, detail out the architecture and design,
develop the product, test it, deploy the product, handle migration and
maintenance and ensure product support. This is a closed loop where the
Product Support team gathers new requirements which are eventually deployed.
This clearly detailed lifecycle loop has been getting increasingly fuzzy in
the recent past, at least for web product development. For one, requirement
gathering and prototype building are often carried out in parallel. Pivotin... (more)