Hi there,

José leads a 100-strong squad of data scientists, machine learning engineers, researchers, and data engineers. His leadership philosophy is rooted in collaboration, innovation, and continuous learning – principles that keep his team at the cutting edge of data science technologies.

When Jose attended the ODSC West event in November 2023, he was impressed at how much data science tooling had evolved in such a relatively short period of time. 

After a recent round of layoffs, José lost the members of his team who were responsible for maintaining the platform, which meant there was no potential for further customization or improvements – even basic support would no longer be provided. 

Just yesterday, for example, a group of data scientists were unable to train their machine learning model because there were insufficient computing resources in the cluster. And nobody was there to fix it until today, when a colleague from another department volunteered to help.

José took this as a sign that it’s time to move on and migrate from the in-house platform to a vendor solution – one that is more scalable and robust.

But such a move would require significant investment. To justify the expenditure to his boss, José prepares a comparative table of the benefits the team would enjoy after switching to a vendor solution.

It is evident to José that the productivity gains would be massive and more than enough to cover all the tooling and migration expenses, so he spends the night calculating the ROI for the next five years. Now he’s ready to present the research to his boss and get the green light.

Share with friends: