Skip to main content

Data Is the New Oil : From Lenses Of Oil & Gas Industry

Yes, times are difficult but that's what opportunity seekers make the best out of. This pandemic has resulted in a lot of unexpected changes. Most of us don't have a plan anymore because it seems hard to believe when and how our lives would resume. What will the new normal be? Is it ever getting back to the same? Will I ever be able to live my good old life again? How will demand for skills change in near future? What shall we do to maximize the gain from this slow-paced life? With so many questions in their mind, I had an opportunity to talk to a wonderful group of audience in a webinar organized by EAGE RGPIT SC. When I asked them "What is in your mind?" 
This was their response. People are worried about their careers. With fancy data lingos, everyone is seeking to learn more about them and trying to prepare for a secured tomorrow. Data science has become more and more popular over the last decade. Being a data scientist is now a software engineer of yesterday. Everyone is trying to explore this domain but the future with only this is dicey. You never know if this will still be valuable tomorrow. The best part of this is the fact that it can be pursued independently of your core expertise. You can be from any background and still possess eyes for making sense out of data. My purpose of this talk was to introduce student community to a few real industry examples of the application of digitalization and ensuring that they understand that in order to make maximum value out of available data it's important that we see data science as a behaviour and not a skill. We need to create a mindset where skills to analyze data are with everyone, and they go along with a proper understanding of the processes. This needs a change in the curriculum when more and more of such ideas are fed since the beginning like any other subjects we study. I hope it was a useful session. I will be happy to take up more unanswered queries here if any.

Comments

Post a Comment

Popular posts from this blog

Shell.AI Residency Program India

This is to call for applications to " AI Residency Program "   recently launched by Shell India. This  a 2-year, full-time, immersive programme, which allows data scientists, AI engineers and computational scientists to gain experience working on a variety of AI projects across all Shell businesses. Recently, Shell India has launched its own, specialized and global programme – bringing digitization – in India to newer heights. Join us, and make history through influencing the future of energy. Along with this, we are also conducting a  hackathon for sustainable and affordable energy  which gives the winners a direct entry to interviews for Shell AI Residency Program.  PS: Jobs will only be offered to people with relevant experience as mentioned in the page while hackathon is open to everyone. Participate and be a part of Journey to a cleaner and more sustainable tomorrow. 

pip install xgboost

I have tried a million ways over years to by-pass all the certs/securities but never had a one right way to do this, xgboost is a very popular ml algorithm but been hard to install. This time finally I made it happen. I downloaded the wheel file directly and installed it to make this happen right. I also have a video for this but this article shows step by step process on how to do it right. Here is how: Open command window from start menu in windows: Fig1: Open Command Window Go to the website to find unofficial binaries 👉 here , find the desired .whl file, in this case, we are looking for xgboost, and download the compatible version with your machine and python: Fig2: The Unofficial Binaries Locate the downloaded file on your machine: Fig3: Locate the Files Install from cmd using pip: Fig4: Install the file  And you are done, you can also follow these steps from my video here: