InTDS ArchivebyMonte Zweben·Feb 18, 2021Do you need a feature store?Feature Stores make it easier and cheaper to produce more accurate ML models.
InTDS ArchivebyMonte Zweben·Dec 12, 2020Learn 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.A response icon1A response icon1
Monte Zweben·Nov 5, 20204 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.
InTDS ArchivebyMonte Zweben·Jul 29, 2020How to Build a Culture of Experimentation For Effective AI/MLOrganizational silos and infrastructure complexity makes data science too hard
InTDS ArchivebyMonte Zweben·May 21, 2020How To Benchmark an HTAP DatabaseConsolidate Databases To Reduce Cost And Become Real-TimeA response icon1A response icon1
Monte Zweben·May 1, 2020How to Cut Costs and Digitally TransformDigital Transformation is Now the Digital ImperativeA response icon1A response icon1
InTDS ArchivebyMonte Zweben·Mar 10, 2020How 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 codeA response icon1A response icon1
InTDS ArchivebyMonte Zweben·Mar 4, 2020Building 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.
InTDS ArchivebyMonte Zweben·Jan 22, 2020Modernizing Mainframe ApplicationsNow there is way to migrate mainframe applications onto modern architectures and add AI/ML to them.A response icon2A response icon2