by Srinivas Raghavan | Data, Data Science
Background Modern Data Engineering involves creating and maintaining software and systems for accessing, processing, enriching, cleaning data and orchestrating data analysis for business purposes. Data engineers build tools, infrastructure, frameworks, and services....
by Srinivas Raghavan | Data Science
Background The availability of petabytes scale of structured and unstructured data has lent itself for large-scale harnessing thanks to Data Science and AI. Advances in parallel and distributed computing, and the algorithms to process data of all types including text,...
by Srinivas Raghavan | Data, Data Science, Data-Lake
Background The application of mathematical methods and computer science techniques coupled with statistical modelling on industrial data has been around for several decades. However, in their new avatars of Data science and Machine learning, they seem to have garnered...
by Anand Swamy | CRM, Data Science
This masterclass event was delivered by Ajit Jaokar on 26th Feb 2020. Ajit is a Principal Data Scientist/AI Designer at the University of Oxford, and a top-rated influencer in the World Economic Forum. We are pleased to present a brief profile of Mr. Jaokar and key...
by Anand Swamy | Data, Data Science
It was nostalgic going back to the organisation that we built the foundation of our careers in – back then in the 90’s setting up sales and operations for one of India’s largest petrochemical unit that was just “Going Live “. Size, scale...
by Samir Gujar | Data, Data Science
Next year, it will be 20 years since I first started working in the field of SAP. As I reflect on what has changed from the perspectives of a User and a Consultant, I find great similarities in the family of ERP and CRM solutions that I have seen. This includes cloud...
