Thursday, April 5, 2018

Smart Apps @ Work


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 

Twitter Handle | @Pralhad161978
Mobile @ 9665911593

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