OpenPOWER Summit 2021

Sridhar Ramasubramanian

Sridhar Ramasubramanian is a Technical Consultant/Data Scientist with 10 + years of experience in ERP Consulting & last few years in the Data Science Domain at Arista Consulting LLC, which has offices in Detroit, US & also in Hyderabad, India. Sridhar is familiar with a variety of programming languages and especially interested in adding new skills related to Data Science to his repertoire. He is proficient in Machine Learning and Deep Learning Programs and currently working on ML use cases & plan to use IBM’s POWER9 systems.


Vaibhav Raja, Sridhar Ramasubramanian

In the recent days, Machine Learning & Neural Networks also freely referred to as Artificial Intelligence has grown so rapidly that it is no more a system used only by Researchers in Universities, but, has evolved so much that it is now actually deployed at Enterprise level across Organizations for their Production environment to analyse the data & gather meaningful insights from it. Many industries and organizations that have incorporated AI into its infrastructure have gained a competitive edge compared to their peers & this happening across industries. With AI in industries helping organizations building solutions for the betterment of the industries in an efficient way, employees can focus on things such as communicating and strategizing to build solutions that solve problems that is otherwise side-lined. With the advancement in Technology, Companies are continuously embedding more & more powerful resources in the chips so they can process complex & resource heavy Big Data, Cloud & AI Applications. The latest chips being open-sourced also paves the way for running Enterprise AI Applications. One such great example is IBM POWER9 system which addresses complex workloads such as Cognitive & Enterprise AI Applications. The POWER9 systems with its high powered GPUs help organizations manage their data on transactional information & Product feature that can be easily analyzed & get insights with the Machine Learning (ML)/Deep Learning (DL) Models.