Floating Cubes

Data Scientist resource wasted on non-differentiating features

A frequent problem, in all sectors where organizations are building software, is that data science resources are spent on non-core differentiators. Teams often spot a problem, and start building machine learning and AI capabilities where there are SaaS alternatives that do the job better and for a lower total cost of ownership.