Why Artificial Intelligence is incomplete without Data Annotation

Whenever we talk about Artificial Intelligence (AI) and Machine Learning (ML), what we instantly imagine are powerful tech companies, convenient and futuristic solutions, fancy self-driving cars, and basically everything that is aesthetically, creatively, and intellectually pleasing. What hardly gets projected to people is the real world behind all the conveniences and lifestyle experiences offered by AI. For your device to set an alarm clock just by listening to your voice, hundreds of hours of work would have gone through at the back end -- right from the time of ideation to developing prototypes and testing. Now, imagine the scale of operations and efforts behind your Netflix recommendation engines, eCommerce personalizations, home automation systems, on-demand transport, and food delivery solutions, and basically anything powered by a smartphone or an app. Today's spectrum of artificial intelligence is just like a fancy restaurant that gets marketed among people.