Free SourcesLike the name suggests, these are resources that offer datasets for AI training purposes for free. Free sources could be anything ranging from public forums, search engines, databases and directories to government portals that maintain archives of information over the years.If you don’t want to put too much effort into sourcing free datasets, there exists dedicated websites and portals like that of Kaggle, AWS resource, UCI database and more that will allow you to explore diversecategories and download required datasets for free.Internal ResourcesThough free resources appear to be convenient options, there are several limitations associated with them. Firstly, you cannot always be sure that you would find datasets that precisely match your requirements. Even if they match, datasets might be irrelevant in terms of timelines.If your market segment is relatively new or unexplored, there wouldn’t be many categories or relevantdatasets for you to download as well. To avoid the preliminary shortcomings with free resources, thereexists another data resource that acts as a channel for you to generate more relevant and contextual datasets.They are your internal sources such as CRM databases, forms, email marketing leads, product or service-defined touchpoints, user data, data from wearable devices, website data, heat maps, social media insights and more. These internal resources are defined, set up and maintained by you. So, you could be sure of its credibility, relevance and recency.Paid ResourcesNo matter how useful they sound, internal resources have their fair share of complications and limitations, too. For instance, most of the focus of your talent pool will go into optimizing data touch points. Moreover, the coordination among your teams and resources must be impeccable as well.To avoid more such hiccups like these, you have paid sources. They are services that offer you the most useful and contextual datasets for your projects & ensure you consistently get them whenever you need.The first impression most of us have on paid sources or data vendors is that they are expensive. However,when you do the math, they are only cheap in the long run. Thanks to their expansive networks and data sourcing methodologies, you will be able to receive complex datasets for your AI projects regardless of how implausible they are.To give you a detailed outline of the differences among the three sources, here’s an elaborate table: