Published inUnmanageThe Machine Learning ManifestoAfter months of insightful discussion, feedback and research I venture and propose a list of 42 principles for more holistic machine…Feb 10, 2022Feb 10, 2022
Published inUnmanageThe Machine Learning Product Strategy JourneyThinking beyond use cases and business objectives opens the path for fundamental and lasting benefits and productsJan 6, 2022Jan 6, 2022
Published inTowards Data Science7 Critical Machine Intelligence Exams and The Hidden Link of MLOps with Product ManagementIt is time machines take exams before being unleashed on the world! A great machine learning product becomes extraordinary through testing…Dec 10, 2021Dec 10, 2021
Published inUnmanage5 Ideas to Maintain Senior Executive Involvement for Machine LearningHow to keep executive teams engaged throughout the machine learning journey in a highly regulated business environmentDec 3, 2021Dec 3, 2021
Published inUnmanage6 Strategic Process Considerations Beyond MLOpsThe combination of agile execution, product management, audit controls, and operational resilience integrate MLOps into the corporate…Aug 23, 2021Aug 23, 2021
Published inUnmanageAddressing 4 Key Cross-Functional Conflicts in AI/ML InitiativesLegal, data management & documentation plus disintermediation are good for a long-term AI journeyJun 8, 2021Jun 8, 2021
Published inUnmanage6 Reasons to Spend More Time Thinking About LabelsA lot of effort goes into feature engineering. By comparison it seems labels receive much less attention. Perhaps it is time to change…Jun 4, 2021Jun 4, 2021
Published inUnmanageDid You Consider These 6 Organizational & Structural Aspects For AI Teams?Observations on federated or decentral AI/ML and data science organization supported by serving leaders with limited new or additional…May 31, 2021May 31, 2021
Published inUnmanageData Myopia And Other DistractionsWhat is the right organizational culture for a machine learning initiative? Practical observations & the start of a conversationMay 17, 2021May 17, 2021