Note: I got feedback that my Data Product Blueprint process in Figure 7 was waterfall, not agile. Totally agree and that’s my bad. I’ve updated the image and will...
The initial uptake of AI was within financial services – that still continues but we are now seeing adoption beyond traditional industries dominated by AI. The...
In this article, let’s discuss one of the trendy and handy web-scraping tools, Octoparse, and its key features and how to use it for our data-driven solutions. Hope you...
The growing ubiquity of IoT and AI has left no industry untouched. Businesses have unlocked their transformational value in meeting the modern needs of consumers, with cl...
Say you need to implement some machine learning system. Should you purchase a product, re-use open-source code, or develop your own algorithms? The decision does not need...
Software development is not as easy as we perceive. Building a startup or a product from scratch is a time-consuming and complicated process. You need to develop a valuab...
The Internet of Things (IoT) is all about devices communicating with one another and gathering massive amounts of data to serve larger man-made aims and targets without t...
More than ever, earning and maintaining trust with consumers has become a mandatory part of business. To do this, companies must become obsessed with trust and privacy....
In Part 1 of the blog series on building a value-driven data strategy, I discussed the challenges associated with framing the data strategy process as a deliverable. A Da...
In the previous post, we discussed causal AI applicationsIn this post, we discuss how to develop such applicationsThe post is based on the causalnex library which we have...