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The key phrase of the last paragraph was “when the user asks for it”. Systems at this time, while appearing to understand the user are largely placing the burden of knowing what to ask for, back on the user. From Google Search to Siri, we live in a world of amazing technological growth and yet, we have not gotten nearly close in making the journey from the science of pairing and annotation to the art of understanding the context of the user’s mind. Big Data remains an abstract concept to end-users primarily due to our inability in making this journey. This is where the key to tomorrow’s success is to be found.
Let us take a simple example – a sentence as simple as “The chocolate brown truck went fast on the road”. When you tell this sentence to an astute ten year old kid, he/she will, in a few attempts say UPS. Naturally so, because the human mind has associated a fast moving chocolate brown truck to UPS. However, when you enter the same sentence in a search engine, UPS is not one of the top search results (and I am using top very liberally). How is it possible that a ten year old kid has built the knowledge and capability that outsmarts the brainpower of numerous data scientists and organizations? The answer lies in the ability to understand the context. In this case, the mapping is not between chocolate brown truck and UPS but that it is fast moving as well.
I am not saying that this is a dud. Associating a verb and adverb (fast moving) with a key value pair (chocolate brown truck and UPS) is not easy and is wrought with so many inconsistencies when you extend it, it is going to be incredibly hard to avoid misses that will drown out successes in this effort. To this, when you add the ever-growing axis of the Internet of Things, it becomes a puzzle whose boundaries are incredibly hard to fathom. But then, when has the awesomeness of a good problem ever stopped the human mind?
We live in a reactive world of computing. We always burden the user with this question of “Ask me anything and I will find an answer”. We cannot scale up to the users’ expectations by repeating that question through various mediums (search engine, personal assistant etc.). Sooner than later, we have to get truly predictive about the users’ intent and then, we can build intelligent systems to get proactive about the best solution for the question that the user has not yet come up with, in his/her mind.
If we have to make that transformation, we have to leap forward from today’s world of content into tomorrow’s world of context. That is truly the trump card of tomorrow’s computing success!