Companies are ramping up their adopting of cloud-based Software-as-a-Service applications. Public cloud spending is expected to reach over $206 billion in 2019. Large ent...
Introduction Data scientists are the no. 1 most promising job in America for 2019, according to a Thursday report from LinkedIn. Hence, this comes as no surprise: Data sc...
Why should companies care about Digital Transformation? Yes, I know it appears as yet another technology-drunk buzzword, but what about Digital Transformation should ma...
Background When I was teaching a session on AI at an MBA program at the London School of Economics, I thought of explaining AI from the perspective of the life-cycle�...
Summary: In the literal blink of an eye, image-based AI has gone from high cost, high risk projects to quick and reasonably reliable. C-level execs looking for AI tec...
Last time, I posted Part 2 of a blog trilogy on data programming with Python. That article revolved on showcasing NumPy, a comprehensive library created in 2005 that ...
PREFACE This article has 4 sections: Introduction: Introduction to the gambler’s ruin problem Methodology: How the simulation will be carried out Pseudocode: Summar...
Majority of modern companies deal with processes which they want to be automated. This need can be caused by various reasons, in particular, due to the routine, repetitiv...
In the course of time, data science has proved its high value and efficiency. Data scientists find more and more new ways to implement big data solutions in daily life. N...
In a recent article (February 2019) published in Forkes (see here) it was argued that there will be no data science job titles by 2029. The author wrote that Automation...