PinnedAI Revolutionizes the Energy Industry: From Grid Optimization to Data ManagementArtificial Intelligence unleashed a wave of transformation in the energy industry, revolutionizing processes and enabling unprecedented…Aug 30, 2023Aug 30, 2023
Part 1: Can causal analysis change business? Applying causality in AI and beyondSUMMARY:The surge in enterprise AI has fueled interest in causal analysis. In this piece, I explore the threads that bind cause and effect…Oct 24, 2023Oct 24, 2023
Causality Part 2 — Methods of Causal InferenceThis article details many of the methods and techniques of Causal Inference and is a companion to “Causality Part !. Causal inference is…Oct 24, 2023Oct 24, 2023
Big oil in VC funding of GreenTech — positive sign or cynical greenwashing?SUMMARY: On the surface, big oil investing in GreenTech looks like progress. But the reality is a bit more complicated. Where does…Sep 11, 2023Sep 11, 2023
Article Links Published by Neil Raden on Issues of AI and AI Ethics on Diginomica: 2022-August 2023Sep 3, 2023Sep 3, 2023
Want to get digital transformation right? Address what’s left behindSummary: Digital transformation is sure to run into obstacles. One under-recognized pitfall? The fear of leaving something behind. A vital…Sep 3, 2023Sep 3, 2023
The disparate impact metric falls short for fairness in algorithmic models — here’s whySUMMARY: As we attempt to build AI models that achieve fairness, approaches to protecting marginalized groups like differential and…Sep 3, 2023Sep 3, 2023
Generative AI in the enterprise — re-assessing the risk factorsSUMMARY: Assessing generative AI risks may seem like catching a moving train from behind. New thinking about generative AI ethics can help…Sep 3, 2023Sep 3, 2023
Semantic layers getting some love, but not there yetSemantic layers have been around for a long time — but with underwhelming results. Is the concept outdated? No, but something it missing…Jan 21, 2023Jan 21, 2023
