PinnedPublished inTowards Data ScienceHow analytics maturity models are stunting data science teamsThe model that cripples other modelsJan 28, 20207Jan 28, 20207
Published inTowards Data ScienceSuccessful AI Ethics & Governance at Scale: Bridging The Organizational and Implementation GapsThe road from ethics to executives winds through lawyers and LLMsNov 141Nov 141
Published inTowards Data ScienceSuccessful AI Ethics & Governance at Scale: Bridging The Interpretation GapPrinciples that generalize require professionals who specializeOct 241Oct 241
Published inBetter HumansLiving and Thriving as a Highly Sensitive PersonFive strategies for flourishing in a noisy and impersonal worldFeb 10, 202329Feb 10, 202329
Published inTowards Data ScienceTwelve HR-Ready Roles to Help Build Healthy Data Science and AI TeamsPut those data science Venn diagrams away. Yes all thirteen of them.Jun 7, 2022Jun 7, 2022
Thanks for thinking about reducing friction on making AI ethics decisions Abhi!Our approach in embedding AI ethics into a large company is very much about taking lots of time to find the best place to hangs these…Mar 19, 20211Mar 19, 20211
Published inTowards Data ScienceDeveloping Trustworthy Covid-19 Computer Vision SystemsAvoiding the bait and switch of safety turning surveillanceFeb 9, 2021Feb 9, 2021
Published inTowards Data ScienceWhat every project manager should know about managing data science and AI projectsSpoiler: If you are starting with requirements, think againAug 25, 20201Aug 25, 20201
Published inTowards Data ScienceWhat about Flattening the Infodemic Curve?Leveraging ethical AI and human-centric product design to treat the chronic disease of the digital economyApr 8, 20201Apr 8, 20201
Published inTowards Data ScienceTen predictions for data science and AI in 2020An internal data science team view on what 2020 may bring for organizations leveraging data science and AINov 21, 2019Nov 21, 2019