Technology companies, depending on their size and subsector, may be unsure about whether to buy or develop their own artificial intelligence tools as the hype around this technology continues. Beyond the basics of analyzing cost and time-to-market considerations, the decision to buy or build AI tools also depends on use case intentions, in-house talent capabilities and data foundations, to name a few factors.
Understanding these points can help technology companies make informed choices that align with their strategic goals. Below we look at key considerations leadership teams should weigh to help them assess which route—building AI tools in-house or using external ones—makes sense for the organization.