Greger OttossonBuilding enterprise solutions with LLMsThe emerging tech stack for bespoke RAG applicationsJul 25Jul 25
Greger OttossonTransparent ML for Enterprise Decisions — Score CardsNote: this is Part IV in a series of articles on transparent machine learning models, click here for Part I — Introduction, Part II —…Apr 10, 2023Apr 10, 2023
Greger OttossoninIBM Data Science in PracticeTransparent Machine Learning in IBM Business AutomationHow to use ML in critical and regulated business decisions.Jul 28, 2022Jul 28, 2022
Greger OttossonTransparent ML for Enterprise Decisions — Rule SetsNote: this is Part III in a series of articles on transparent machine learning models, click here for Part I — Introduction and Part II —…Jul 28, 2022Jul 28, 2022
Greger OttossonTransparent ML for Enterprise Decisions — Linear ModelsNote: this is Part II in a series of articles on transparent machine learning models, click here for Part I — Introduction and Part III —…Jul 28, 2022Jul 28, 2022
Greger OttossonTransparent ML in Enterprise Decisions — IntroThe Case for Transparency in Enterprise DecisioningJul 28, 2022Jul 28, 2022
Greger OttossoninTowards Data ScienceBeyond ML Ops: Governance for enterprise decisioningHow to operationalize Machine Learning with business policy and IT systems.Jan 22, 2021Jan 22, 2021
Greger OttossoninIBM Data Science in PracticeThree Easy Steps to Automate Decisions using models from Watson Machine LearningUsing Machine Learning (ML) operationally isn’t always easy. If you’ve tried to integrate an ML model inside a business process or…Jul 2, 20201Jul 2, 20201
Greger OttossoninTowards Data ScienceHow to fix the broken value chain for Machine LearningIn spite of good progress on platforms for Data Scientists, Business Users still struggle to consume their Machine Learning models.Jun 8, 2020Jun 8, 2020
Greger OttossoninTowards Data ScienceSolving Machine Learning’s ‘Last Mile Problem’ for Operational DecisionsAn analytical insight or trained model has little value if it’s not being used.Sep 4, 2019Sep 4, 2019