![]() ![]() ![]() "Data quality is always a major issue," Krensky said. However, organizations face significant challenges working with data and MLOps, he continued. In addition, a platform that helps users raise the percentage of models that make it into production and manage those models is appealing to enterprises, Krensky said. #DOMINO DATA LAB SERIES#Organizations might be particularly drawn to Domino 5.2's collaboration capabilities that support multiple personas such as data scientists, machine learning engineers, AI architects and engineers, Krensky continued.Įnterprises might also be attracted to Domino 5.2's management of a series of MLOps capabilities, including governance, monitoring and bias detection. So an all-in-one MLOps system ought to appeal to enterprises, Krensky said. "All of the players that are now becoming either cloud MLOps or cloud end-to-end data science platforms have to compete with each other, which is not easy," he said.ĭomino is not only up against other vendors in the MLOps sector, but they're also competing with bigger much bigger vendors including AWS, Microsoft and Google. This release helps Domino Data Lab stay competitive in an increasingly crowded field, Krensky said.Īll of the players that are now becoming either Cloud MLOps or cloud end-to-end data science platforms have to compete with each other, which is not easy. ![]() The Domino MLOps platform enables data scientists to develop and manage models with their choice of tools and languages, while the model monitor enables organizations to monitor the performance of all their models. A lot of competitorsĭomino 5.2 combines the vendor's data science platform and its model monitor product, said Peter Krensky, a Gartner analyst. #DOMINO DATA LAB UPDATE#The platform update also provides new AI capabilities that recommend the best model development environment for data science teams, the vendor said.Īnother new feature enables data science teams to deploy AI models using Snowflake Snowpark, a platform that enables enterprises to build applications that process data in Snowflake, a cloud data platform vendor.Ĭustomers can train their models using Snowpark and deploy them from Domino to the Snowflake Data Cloud. Domino 5.2 includes a new native SQL-based environment based on Apache Superset, an open source platform for visualizing data. The release includes new AI-powered data preparation and visualization options. Unveiled on the first day of the vendor's Rev 3 MLOps conference, Domino 5.2 is aimed at data science teams focusing on data preparation and model development. ![]()
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