The research and development (R&D) phase of building an AI model to address a business problem is characterized by rapid exploration and iteration. Everything is on t...
Return to Work vs. Return to the Office Framing is a technique that communicators (and marketing people) use to push unstated, but heavily implied, messages into the disc...
Introduction One of the most useful applications of NLP technology is information extraction from unstructured texts contracts, financial documents, healthcare recor...
Orbit of the Riemann zeta function in the complex plane (see also here) Despite my long statistical and machine learning career both in academia and in the industry, I ne...
The Paths to AI There are three paths to “artificial intelligence” – algorithmic, heuristic, and inferential. Algorithmic learning is essentially progra...
Source: here Here is what I learned from practicing machine learning in business settings for over two decades, and prior to that in the academia. Back in the nineties, ...
We are now ready to wrap up the four-part series on how technology vendors especially data and analytic technology vendors (and what technology vendors are not invol...
SPARQL is a powerful language for working with RDF triples. However, SPARQL can also be difficult to work with, so much so that it often is not utilized anywhere near as ...
Source for picture: here The first part of this list was published here. These are articles that I wrote in the last few years. The whole series will feature articles rel...
With the recent global and regional socio-economic disruptions caused by the pandemic, industries such as retail, consumer products, manufacturing, pharmaceutical, and li...