Big data, AI and all that

How big should data be to be called'big'? Big data talk usually centers around those four V's: We say that data is big if it has volume, variety, velocity and veracity. It means a lot and lot of data; much, much more data than what a single server's disk can hold. That means not just numbers (Tendulkar's test and ODI scores), but also text (all that prose and poetry in praise of Tendulkar), video (Tendulkar's straight drive) and audio (Tendulkar exclaiming "Ailaa!"). Data on the trajectory of a launch vehicle, data on the growing spread of the Ebola virus, data about how rapidly some song is going viral on the Internet. Data that is valid, accurate, verifiable, not manipulated and trustworthy. What do you do with all this big data? You use this data to find associations, insights or connections.