Published inTowards Data ScienceDo you need a feature store?Feature Stores make it easier and cheaper to produce more accurate ML models.Feb 18, 2021Feb 18, 2021
Published inTowards 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.Dec 12, 20201Dec 12, 20201
4 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.Nov 5, 2020Nov 5, 2020
Published inTowards Data ScienceHow to Build a Culture of Experimentation For Effective AI/MLOrganizational silos and infrastructure complexity makes data science too hardJul 29, 2020Jul 29, 2020
Published inTowards Data ScienceHow To Benchmark an HTAP DatabaseConsolidate Databases To Reduce Cost And Become Real-TimeMay 21, 20201May 21, 20201
How to Cut Costs and Digitally TransformDigital Transformation is Now the Digital ImperativeMay 1, 20201May 1, 20201
Published inTowards 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 codeMar 10, 20201Mar 10, 20201
Published inTowards 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.Mar 4, 2020Mar 4, 2020
Published inTowards Data ScienceModernizing Mainframe ApplicationsNow there is way to migrate mainframe applications onto modern architectures and add AI/ML to them.Jan 22, 20202Jan 22, 20202