On February 13, 2023, Domino Data Lab, a leading Enterprise MLOps platform provider, announced the release of Domino Code Assist (DCA), a game-changing product for business analysts that allows enterprises to quickly democratize data science and close the data science talent gap. Domino Data Lab joins the low-code sector with DCA to raise business analysts who are using Python and R into the realm of data science.
The U.S. Bureau of Labor Statistics states that data science jobs will rise at a 36% annual rate by 2031. Using a code-first method, DCA enables Chief Data Data Analytics Officers (CDAOs) and Chief Data Officers (CDOs) to incorporate more analytics professionals in machine learning and data science initiatives.
Simultaneously, by generating code that assists business analysts in learning and growing, DCA provides them with an opportunity to learn valuable coding skills while also assisting an organization in developing new data science talent from within, all while enhancing the efficiency of both data scientists and business analysts.
Domino's distinctive code-first approach to low-code data science enables business analysts to produce code rather than relying on a black-box tool or proprietary drag-and-drop interface. This makes data preparation, dashboards, and models portable and transparent while allowing business analysts to work with expert data scientists in the same languages and contexts that scientists do.
With DCA, companies may pursue a code-first "mosaic" or "pyramid" data science talent strategy, leveraging a select set of highly competent professionals and a greater number of less advanced individuals who nevertheless write some code. Organizations enhance the value of experts while empowering and enabling analytics professionals at all levels as everyone works in code on the same platform.
DCA assists CDOs, CDAOs, and their employees in addressing three essential parts of democratizing AI by allowing a broad spectrum of data science and analytics specialists to harness the value of data in a single platform:
-
DCA addresses the "cold start" issue by shortening the time to insight for everyone.
-
DCA introduces low-code business analysts to well-written code.
-
DCA facilitates the alignment of all data science efforts with governance, priority, and review procedures.
About Domino Data Lab
Founded in 2013, Domino Data Lab drives model-driven business for the most advanced companies globally, including more than 20% of the Fortune 100. The company's MLOps platform accelerates the development and implementation of data science activities while boosting collaboration and governance to expand data science into a competitive advantage. Thousands of data scientists use its platform to cultivate more productive crops, create better medications, design better automobiles, adjust risk models to significant economic changes, enhance customer service, or propose the ideal buy to make at the appropriate moment.