Alarmist speculations about Artificial Intelligence are everywhere these days. Business managers in labour-intensive markets such as India and China have, in recent months, come to fear data-driven process automation, often unfairly and unnecessarily. In this post, I wish to discuss some of the AI alarmism we see in the general public at large – ranging […]Read more "Contextualizing “AI Alarmism” in Business Process Automation"
This year, 2017, has been quite a busy year for artificial intelligence and data science professionals. In some ways, this is the year when AI truly began to be debated and discussed, from frameworks and technologies to ethics and morality. This is the year when opportunities for AI-driven improvement in businesses began to be examined […]Read more "Key Data and AI trends in 2017"
Quora is a regular haunt of mine these days, and a lot of my activity there is centered on topics of deep interest – usually data, engineering, aviation and technology. Here’s the first version of the Quora data science answers roundup that I posted in January 2017, soon after I was designated Quora Top Writer […]Read more "Quora Data Science Answers Roundup – 2017"
One of the more interesting mental models of machine learning I’ve come to understand in the last month or so, is the “five tribes of artificial intelligence” model popularized in “The Master Algorithm” by Pedro Domingos. To summarize in a phrase, the master algorithm is that approach which can uncover all possible insight from data […]Read more "Andrew Ng’s DeepLearning.AI (Coursera) Certification"
I’ve spent a couple of years in a data and analytics startup, that has a consulting focus. As I’ve said elsewhere on this blog, the background in engineering and quality data analysis led me (now it seems inexorably) to this interesting role as a consultant with a focus on data and analytics. While I’ve worked […]Read more "Crosspost: Some Hard Truths About Becoming a Data Scientist"
In my work as senior consultant for businesses seeking to benefit from data, I’ve come across many different hard management problems that impede the progress of change initiatives, and data analytics initiatives. The first among these has to be just the lack of knowledge of capabilities and possibilities from data, which is alleviated somewhat by […]Read more "Crosspost: Data Driven Organizational Change"
Recently, I had the opportunity to finish Stanford SCPD’s XINE 217 “Empathize and Prototype” course, as part of the Stanford Innovation and Entrepreneurship Certificate, which emphasizes the use of design thinking ideas to develop product and solution ideas. It is during this course, that I wrote down a few ideas around the use of data […]Read more "Some Ideas on Combining Design Thinking and Data Science"