AI takes away the manual labour and adds Intelligence

Deepak Pargaonkar, Senior Director - Solutions Engineering Salesforce India
 

"AI now is getting more comprehensive and the algorithms are becoming richer through more analysis in big areas. A number of organizations including Saleforce India are doing a fair amount of work in the area of vision or image analysis."
 

Deepak Pargaonkar, Senior Director – Solutions Engineering, Salesforce India, says, “When we talk about AI, it is a part of almost everything now. When we look at our daily life, it has become a part of our daily life. Take, for example, natural language processing like Siri. When we give a voice command, then Siri starts doing that for the user. Another example is: if I upload a picture with my friends, it immediately asks for tagging my friends. Here, the image is being processed and vision analysis is taking place. The third aspect is intense analysis. It is very important for various purposes. In an organization where there is a high volume of emails that you are experiencing then some mechanism to go to the intent of the written body and identify what could possibly it mean then accordingly take some call before the human being starts intervening. If you look at these examples, then possibly these are the building blocks for everything that happen in surveillance. The security industry has the components like capturing the images or there could be some social post or some written communication that also needs to be monitored, just to understand the sentiment of the written body.
 

AI now is getting more comprehensive and the algorithms are becoming richer through more analysis in big areas. A number of organizations including Saleforce India are doing a fair amount of work in the area of vision or image analysis. Once the images are captured when it comes to do some analysis, human analysis has always been a part of it, but what AI does is it takes away the manual labour and also adds some intelligence. This some intelligence means it starts applying deep learning models on the images. These deep learning models go through images; it compares the existing things that are available and it predicts the outcome. Once the outcomes are predicted, the actionable also needs to be done.”