Build vs Buy: Generative AI Solutions

AI and data solutions are now considered a must-have and some companies are trying to build their own products in-house. While this may seem straightforward at an initial glance, the process of building and maintaining AI or data solutions is incredibly complex and requires a great deal of effort. Many companies have tried and failed (after considerable time and effort).

An MIT report found that 95% of in-house Gen AI projects fail to deliver meaningful value, so proceed with caution. Among many other components, we’ve put together some items to consider for people exploring in-house AI and data options.

And when it comes to specific industries, many companies are now moving towards purpose-built AI designed by a vendor for their sector. For example, if you work in banking or finance it would be smart to contact Cyndx for purpose-built AI for banking and investment professionals.

Here are some of the critical items to keep in mind if you're tempted to go down the path to building in-house AI or data solutions.