BY CHOICE, not by chance
I am writing this from thousands of feet above, on my way to Seattle for Confluent’s Global Kick Off 2026.
It’s been three months since I joined. Looking back, leaving my previous role wasn’t easy. I was comfortable. I knew Azure like the back of my hand. Moving here meant leaving that safety net for a completely new technology stack. I have always loved technology, and I learned everything put in front of me. But the biggest change isn’t just the tech—it’s how I explain my job.
Yes, most of us work in Technology companies those advise many organizations globally for taking technological decision and encourage them to use the latest and advanced technologies to automate their operations. However, how many of those companies are using technology within their organizations and drive innovations for their internal requirements. Both the employees and employers are suffering because a proper system is not in place for solving the problems like Lack of effective appraisal system, identifying the right resources for the projects, unable to stop the talent leaving the organization etc. Let’s look at those and how we can try to solve using the technologies like Machine Learning(ML) and Artificial Intelligence(AI). Yes, we are in the world of Machine Learning(ML) and Artificial Intelligence (AI) and we must now start thinking about using them effectively.
Continue reading “ExploreExplore the technology to Upskill, Reskill and CrossSkill the resources.”
Machine learning is ‘predictive analysis’ in very simple terms, agree? Arrive into a conclusion by analyzing the data. Can this possible only with computers?  We, human beings do it on a daily to basis, to catch a bus, to drive a car, to shop and what not.
Don’t be confused. Let me try to explain and don’t blame me at the end if that doesn’t work, a pre-bail has been taken :-).
Let me take the example of how we learn driving. Excuse me for those who never tried it 🙂.
The driving instructor gives you first set of data like usage of steering wheel, gear shifting, clutch, brake, accelerator etc. Initially, with those basic data you mess with clutch, gear, accelerator and brake often. Then you slowly correct the mistakes by practicing which means you are learning by feeding your brain with additional data on how to use it effectively. Eventually you get it correct when you have more and more data; and create your own algorithm to drive your car. Result of this you start applying the break softer, start shifting the gear smoothly. That is exactly the machine learning does with the help of your intelligence (it is currently being replaced with Artificial Intelligence –AI 🙂). Continue reading “Machine Learning: I do it, you do it everyday without a computer”
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