We are in the middle of a business model revolution. And we are active participants in that revolution. We have been transitioning from a society where posses...
The previous post covered the problem of oversiloing. Systems thinking, I pointed out, can help reduce the practice of siloing when it’s not necessary. In earlier...
In this short blog, we’ll review the process of taking a POC data science pipeline (ML/Deep learning/NLP) that was conducted on Google Colab, and transforming it into a...
In this latest Data Science Central webinar, meet Shadow IT’s younger sibling. Shadow AI is the result of one-off AI initiatives inside organizations, where siloed AI t...
I blew it last week. I’ll readily admit it. Blame it on the flu or Covid or whatever the nasty bug was that confined me to bed for a day and fuzzy for a few. ItR...
Many of us dream of starting a side business selling our knowledge, in one way or another. Though the market is highly competitive, selling eBooks or technical reports is...
In part 1 of this multi-part series on the value-realizing, collaborative power of decisions, we introduced the concept of an AI-driven decision factory. An AI-power deci...
Projects fail. There are many reasons why they do, but a surprising number of them come down to one or more variations of the “Wishful Thinking” theme. From a...
While nowadays everyone talk about machine learning, data science and AI, few are mentioning statistical science. Its association, The American Statistical Association, f...
In this short article, I’ll try to capture the main differences between the MLops tools Ploomber and Kubeflow. We’ll cover some background on what is Ploomber, Kubefl...