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  • Alka Asthana

Big Data & Artful Intelligence

Updated: Oct 26, 2020




Catch me if you can

Yes, do cast a wide net

Data is everywhere ... all around you - can you catch 'em - but do focus on quality rather than quantity. 

You have heard this before: We begin with the three V’s: Volume, Velocity & Variety 

(that's the do-re-me of Big Data)


Large Volumes of Structured data …

It’s the usual & the-not-very-exciting-stuff that lives in your internal databases; also in the public clouds. Always useful to have some outside data; gives you the ability to see how you compare with the outside trends.


To this we added the vast Variety of exciting Un-structured data

Go ahead and happily include social perceptions. 

Again it is critical to identify the ones that really matter to your business.     

I can almost imagine some interesting ones. 

Seriously, was this tweeted? 

Really, what was posted regarding this?


How does Gen Y perceive this?

That status is so not cool!

What was pinned?

Yes, that too – the video that went viral?

Of course, with a high Velocity, you are almost capturing real-time data as well.

The in-memory columnar format – even better! Who wants a data-warehouse when you can have it alongside your transaction data.


Part or Whole …

Do you want to start with a Holistic set of data to get the big picture for your business?

Or

Do you want to start with a small set of Deeper, Segmented  data (think: specialized industries here)?


Analyze this …

What story does this data tell you?

Connect the dots and analyze from the business perspective.

Apply algorithms to derive intelligence and insights.


Missing Pieces …

Remember though to have a good data representation. Could there be any missing data that will affect the inference? What about the boundaries? Can't provide a skewed perspective, now can we?


Lay it out …

Time to provide some visually compelling and easy to understand insights for decision making.


Fast and Furious …

To this ever-changing data apply an evolving logic - logic that progressively learns from its experiences and fine-tunes in an ongoing manner.

You got it ... the logic applied should simply not be hard-coded ... it's smart enough to learn from itself... and does not require any manual logic upgrades. How do we manage that? Bingo!

Usher in - Innovative Cognitive Computing!


(… so la ti do …)


#artificialintelligence

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