Monte ZwebeninTowards Data ScienceDo you need a feature store?Feature Stores make it easier and cheaper to produce more accurate ML models.7 min read·Feb 18, 2021----
Monte ZwebeninTowards Data ScienceLearn about a powerful tool of the future… in a minute or lessMachine learning is going to change the world — it’s time you understand it.4 min read·Dec 12, 2020--1--1
Monte Zweben4 Ways Machine Learning Can Save Money for IndustryLearn how machine learning can be brought out of the lab and into the plant to solve real-time problems.6 min read·Nov 5, 2020----
Monte ZwebeninTowards Data ScienceHow to Build a Culture of Experimentation For Effective AI/MLOrganizational silos and infrastructure complexity makes data science too hard7 min read·Jul 29, 2020----
Monte ZwebenWhy We Built Splice MachineTo Simplify Distributed Data Management and ML6 min read·May 27, 2020----
Monte ZwebeninTowards Data ScienceHow To Benchmark an HTAP DatabaseConsolidate Databases To Reduce Cost And Become Real-Time8 min read·May 21, 2020--1--1
Monte ZwebenHow to Cut Costs and Digitally TransformDigital Transformation is Now the Digital Imperative6 min read·May 1, 2020--1--1
Monte ZwebeninTowards Data ScienceHow To Axe Db2 But Keep Your CodeThis is a story about modernizing a legacy application powered by DB2 and extending it with AI WITHOUT changing any SQL code11 min read·Mar 10, 2020--1--1
Monte ZwebeninTowards Data ScienceBuilding Production-Ready Machine Learning ModelsSee a new scale-out RDBMS with native MLOps that makes it easy to develop, manage, deploy and govern ML models.11 min read·Mar 4, 2020----
Monte ZwebeninTowards Data ScienceModernizing Mainframe ApplicationsNow there is way to migrate mainframe applications onto modern architectures and add AI/ML to them.9 min read·Jan 22, 2020--2--2