The film Baahubali was nearing its climax and the magnificent battle was halfway when it struck me.
About five minutes earlier, having been deprived of the most powerful ranged-artillery plants by his cunning uncle, Baahubali had come up with the solution of using a giant canvas of cloth, cannonballs tied to its ends, that would cover the enemy soldiers when thrown over them which could then be set aflame (the cloth being coated with inflammable liquids) using fire-arrows.
Very soon, as Baahubali approached the enemy-warlord with a group of soldiers under his command, he was presented with another problem. The enemy soldiers had lined their fronts with bound and tied commoners belonging to Baahubali's province. Baahubali now had to attack the enemy camp without harming his people. I kept imagining that he would probably take a huge leap on his horse and land directly into the enemy camp, killing the enemy soldiers and thereby releasing the tied commoners.
But Baahubali did something different. He commanded his soldiers to direct their sling-shots at the commoners so that they would fall to the ground after which emerged a flurry of arrows from Baahubali's soldiers destroying the enemy camp.
I was awe-struck.
Totally awe-struck by Baahubali's problem-solving skills that it took me some time to process the other parallel thought-flow that was taking birth.
Why don't we start employing Tamil cinema heroes (or any other regional cinema heroes, for that matter) as data scientists?!
The term 'Data Science' when looked up on the internet, throws out this description from the Wikipedia page - "Data Science is the extraction of knowledge from large volumes of data that are structured and unstructured...(and blah blah blah)".
A Data Scientist would hence be expected to be an expert in the aforementioned field (which in itself requires expertise of statistics, data mining, computer programming and strategical thinking). And most Data Scientists tend to be just that.
But then, would an accumulation of knowledge in a range of assorted fields suffice to tackle complex business problems of top organizations?
Definitely not.
There exists the need for looking at a problem in a novel way.
There exists the need for limitless imagination and innovation.
There exists the need for forward-thinking.
There exists the need for someone like Suyambu Lingam from Papanasam who could come up with the thought of burying a dead body beneath the flooring of a police station.
There exists the need for someone like Deva from Ayan who could hide a diamond-set under his hair.
There exists the need for someone like Assault Sethu from Jigarthanda who could identify the mole in his gang using a simple fake plan.
There exists the need for someone like Vinayak Mahadev from Mankatha who could set up an entire robbery, an ensuing cat-and-mouse game and his own death.
And my thoughts kept flowing in the same path.
I continued imagining a discussion room with Suyambu Lingam, Deva, Assault Sethu and Vinayak talking over a business problem. But then my thoughts paused.
Why employ the creations when you can employ the creators?!
The discussion room underwent an instantaneous makeover with Jeethu Joseph, KV Anand, Karthik Subbaraj and Venkat Prabhu occupying the seats instead of their creations. And slowly the room started filling up with more such creators, their ideas and solutions bouncing around like the game-screen of 'Fruit Ninja'.
Vetrimaaran and Sasikumar started analyzing the available data. Ram and Mysskin started defining the possible parameters needed for addressing the problem.
And I would go on with the happenings of the discussion room.
But why burden the reader with the specifics?!
The thought process took a while to settle down. But by its end, it had given me something to rejoice.
Filmmakers, if none of their films worked out, have a very good prospect as a Data Scientist.
Now all I need to find out is if the reverse could work out.
About five minutes earlier, having been deprived of the most powerful ranged-artillery plants by his cunning uncle, Baahubali had come up with the solution of using a giant canvas of cloth, cannonballs tied to its ends, that would cover the enemy soldiers when thrown over them which could then be set aflame (the cloth being coated with inflammable liquids) using fire-arrows.
Very soon, as Baahubali approached the enemy-warlord with a group of soldiers under his command, he was presented with another problem. The enemy soldiers had lined their fronts with bound and tied commoners belonging to Baahubali's province. Baahubali now had to attack the enemy camp without harming his people. I kept imagining that he would probably take a huge leap on his horse and land directly into the enemy camp, killing the enemy soldiers and thereby releasing the tied commoners.
But Baahubali did something different. He commanded his soldiers to direct their sling-shots at the commoners so that they would fall to the ground after which emerged a flurry of arrows from Baahubali's soldiers destroying the enemy camp.
I was awe-struck.
Totally awe-struck by Baahubali's problem-solving skills that it took me some time to process the other parallel thought-flow that was taking birth.
Why don't we start employing Tamil cinema heroes (or any other regional cinema heroes, for that matter) as data scientists?!
The term 'Data Science' when looked up on the internet, throws out this description from the Wikipedia page - "Data Science is the extraction of knowledge from large volumes of data that are structured and unstructured...(and blah blah blah)".
A Data Scientist would hence be expected to be an expert in the aforementioned field (which in itself requires expertise of statistics, data mining, computer programming and strategical thinking). And most Data Scientists tend to be just that.
But then, would an accumulation of knowledge in a range of assorted fields suffice to tackle complex business problems of top organizations?
Definitely not.
There exists the need for looking at a problem in a novel way.
There exists the need for limitless imagination and innovation.
There exists the need for forward-thinking.
There exists the need for someone like Suyambu Lingam from Papanasam who could come up with the thought of burying a dead body beneath the flooring of a police station.
There exists the need for someone like Deva from Ayan who could hide a diamond-set under his hair.
There exists the need for someone like Assault Sethu from Jigarthanda who could identify the mole in his gang using a simple fake plan.
There exists the need for someone like Vinayak Mahadev from Mankatha who could set up an entire robbery, an ensuing cat-and-mouse game and his own death.
And my thoughts kept flowing in the same path.
I continued imagining a discussion room with Suyambu Lingam, Deva, Assault Sethu and Vinayak talking over a business problem. But then my thoughts paused.
Why employ the creations when you can employ the creators?!
The discussion room underwent an instantaneous makeover with Jeethu Joseph, KV Anand, Karthik Subbaraj and Venkat Prabhu occupying the seats instead of their creations. And slowly the room started filling up with more such creators, their ideas and solutions bouncing around like the game-screen of 'Fruit Ninja'.
Vetrimaaran and Sasikumar started analyzing the available data. Ram and Mysskin started defining the possible parameters needed for addressing the problem.
And I would go on with the happenings of the discussion room.
But why burden the reader with the specifics?!
The thought process took a while to settle down. But by its end, it had given me something to rejoice.
Filmmakers, if none of their films worked out, have a very good prospect as a Data Scientist.
Now all I need to find out is if the reverse could work out.
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