Building your data science team is one of the most essential elements of developing your AI tool. Naturally, an AI project doesn’t start with development right away, but with the right preparation – like creating a very basic data strategy including the use case, information about data, etc., there comes a point where you have to get yourself a data science team. And what then? Do you start recruiting? Outsource? What’s best?
Let’s have a look at some pros and cons of both solutions.
In-house data science
For many companies, choosing to build an in-house data science team seems like the only option out there – and that’s mainly because the bigger players like Google, Facebook, Netflix have their own teams. When you’re a big company, it’s definitely a good idea to start building a new team of data scientists, however, for many small and medium companies, it’s often not an available solution.
So why is an in-house team good?
Pros of in-house data science
When you have your own team, you decide where to go. If you need to make some changes, they’re done fast, if you need to talk to your data science, you have them right there. If you need some level of customization of your solution, an in-house data science team may handle that better. They’re a part of your company, so the assumption is that they understand your business and thus can create a better-customized solution.
However, it’s important to understand that customization is not such a huge challenge to cross outsourcing off the list. Additionally, if you’re hiring your own team and starting from scratch, the understanding of your overall business is also not there…
Your AI solution is also an asset of your company. When building an AI solution with an in-house team, it’s clear that everything that’s created is yours. Intellectual property may be especially important if your solution is something you offer to your customers – say as a SaaS product, or when it’s something new and promising. With an in-house data science team, managing intellectual property is easier, but in an outsourced team, you can also maintain the property of the developed solution as long as that’s stated in your contract.
If you simply don’t have to rely on anyone, you’re independent and free. You can work on as many features as you wish, you communicate straight with your team, and you don’t depend on somebody’s knowledge and experience. Isn’t that wonderful? There will be no time zone difference (unless you work with remote teams) and no language barrier (unless you build an international team). An in-house team working in your office is a straightforward solution that gives you a lot of independence and comfort.