I wouldn't say that data scientist is the job of the future. I mean, it's obviously there today, where we need people and champions in organizations who are really wanting to gain new knowledge from data. So that means they have to be motivated to embrace all types of data, all kinds of data that are available to them. Or if they feel that they need data that is not available to them, but is an important part of gaining this knowledge, then they want to be championing gaining that data as well.
So the way I see a data scientist is that they want to be able to get their arms around all of this data, and really use the right tools and technologies to explore and discover the patterns in this data. And as they see these patterns, that means they are gaining some new insights or new understanding. Then they have to champion that and tell that story within their enterprise to their IT group, to their business users, so that these new data sources are being embraced by the IT in building the data platform.
Then the business users realize they should not just be making decisions based on the reports that they have been getting for maybe the last however many years, but that there is new information available, and they want to be making decisions based on this new information. So they have to empower these data scientists to break the status quo, to function as these change agents, and really help expand the data platform, make sure that IT is moving quickly to build a data platform that is all-encompassing, to break the silos in the enterprise. So that whatever new trends they are discovering, what patterns they are uncovering, they improve their predictive models, so that they are obviously able to predict better and more meaningful business outcomes.
So I think it's certainly the need of the hour. Will we see more of these in the future? Yes, because they will be the leaders. There are always the leaders and the followers, so the companies that will encourage or help people grow into these roles, whether it is from within the company or hired from the outside, if they institute a data scientist or a team of data scientists, who will want to gain new knowledge and will want to mine all of this data, uncover the patterns, see the patterns in this data, they will certainly be leading their other players in that space. They will definitely gain an advantage over their competitors.
And then of course there are always the followers. As the followers see how the leaders have become more of leaders, I think they will also get motivated to employ more of this kind of people. So when we say the demand is going to increase, that is how the demand is going to increase. But it's not like every company needs thousands of data scientists. You need a set of individuals, obviously based on the size of the company etcetera, who are the change agents and who will really help bridge the gap between IT and business users. IT in terms of building the right data platform, and business users, too: Where they can show them what the new patterns are that they are uncovering, what the new kinds of information are that they have gleaned from this. So part of the role is the storytelling, the education within the company.