Domino Data Lab was announced as a leader for the second year in a row in the recently released “Forrester Wave™: Notebook-based Predictive Analytics and Machine Learning (PAML), Q3 2020” analyst report. True to our data science roots, we’ve built a Maslow’s hierarchy of data science team needs.

Domino Data Lab was announced as a leader for the second year in a row in the recently released “Forrester Wave™: Notebook-based Predictive Analytics and Machine Learning (PAML), Q3 2020” analyst report. The report highlighted Domino’s capability to “support the diversity of [machine learning] ML options with repeatability, discipline, and governance” while also mentioning the collaboration and governance capabilities that we believe differentiate Domino as a market leader.

We believe this report is validation for our product vision and strategy. At Domino, we work with some of the most sophisticated data science organizations in the Fortune 100, and as a result, have developed an informed view on the critical components that data science teams need for success with an advanced data science platform. While scalable compute, access to code libraries, and repository management are essential, they are merely a foundation layer and table stakes for data science platforms.

True to our data science roots, we’ve built a Maslow’s hierarchy of data science team needs. Here, we plotted the elements that we believe data science teams need to satisfy, and offer an approach to help them drive discipline, process, rapid iteration, and scale via consistent solution delivery to their stakeholders.

#2020 sep news # education #data science team #domino #forrester #machine learning #predictive analytics