Smart apps at work
They make processes and solutions easier
You have
perhaps used Amazon’s Echo to control some home appliances. You say, “Alexa,
dim the lights or play Hindi songs”, and it’s done. Those few words set off a
flurry of invisible activity, calling into play technologies such as natural
language processing (NLP), the Internet of Things (IoT), artificial intelligence
(AI) and cloud native computing. Working in tandem, they deliver the kind of
natural, seamless and efficient user experience powered by a small, affordable
gadget.
If homes can
be smart, work place can be smarter. Employees too want applications that are
aware, intelligent and autonomous. They don’t want to be stuck with ticking
checkboxes on a web page or tapping screens on a tablet. Instead, they want to
be able to say, “Plutus, who are my top clients and how do I serve them better
to generate an additional 10 per cent revenue?” Then they want a host of
technologies to kick in and produce instant and simple answers. All the heavy
lifting such as pointing to the right data sources, selecting a model, and
running the analytics occur invisibly inside a metaphorical magic box. Plutus
knows exactly which system to go to and what to do in order to make you more
What does it
take to create applications that liberate us from following rules and
understand us better?
Here are
four essential imperatives:
Smart
interactions: This is where conversational interfaces — with a combination of inputs
and outputs made up of text, voice and gesture, Mixed Reality combining
Augmented and Virtual Reality with contextual interfaces — come into play. The
end result is almost-human interaction with machines. We don’t need to be
“trained” to behave in ways that machines understand. It becomes quite the
opposite. In effect, machines become “humanised”.
Smart
processes: Instead of sticking to a set process, the application must sense the
user’s intent and intelligently re-cast the process. Imagine being able to send
pictures of your car’s dented fender over a smartphone to your insurance
company. The picture is automatically geo-tagged, a copy of your driving
license is made available along with the picture to the surveyor who remotely
assesses the damage, your claim is filed and you are directed to the nearest
workshop for a replacement. But the process doesn’t stop here — it intelligently
looks up your calendar and sets up an appointment with the workshop too.
Smart
platforms: As applications become smart they will need platforms that provide
computing infrastructure as a service. We can easily imagine cloud-native
compute and storage being provided as a service. But there is more. Given the
slew of new technologies that can be applied, platforms could provide, as
examples, Blockchain, IoT and AR/VR services. Microsoft Azure, Salesforce
Einstein and Wipro HOLMES are examples of cognitive platforms that will be
supplied as a service.
Smart
security: Smart applications interact with a vast variety of systems. This makes
them vulnerable to attacks. An adaptive security architecture can offer the
requisite protection. It uses AI to understand the user, the transaction and
environmental context (IP address, location, time, type, volume and size of
transaction, device used, etc.) and automatically adjusts the security levels.
Source |
Business Line | 5th April 2018
Regards
Mr. Pralhad Jadhav
Master of Library & Information Science (NET
Qualified)
Senior Manager @ Knowledge Repository
Khaitan & Co
Mobile @ 9665911593
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