Brons Larson, PhD (AI Strategy/Ecosystems Lead, Office Of The CTO at Dell Technologies) is an Applied Mathematician who helps develop strategies for exploiting Artificial Intelligence across Dell’s ecosystem. He has over 20 years of Business Development experience, securing cross-discipline funding from both commercial and government sources. He was a former VP at SAIC and was the founder of Vor Data Systems, focusing on developing and deploying technologies across a diverse set of disciplines; e.g., Microbiology, Radar, EO/IR, Communications, Acoustics, Health & Fitness, Video Gaming, Autonomous Vehicles.
Richa Naik (she/her) is a Machine Learning Engineer at MathWorks, specializing in the MATLAB Language and Software Foundations vertical. Her primary focus is on developing AI Assisted Coding and Generative AI capabilities for MATLAB, with prior experience in various deep learning projects.
She holds an M.S. in Computational Science and Engineering from Massachusetts Institute of Technology and a B. Tech in Chemical Engineering from Indian Institute of Technology Madras. During her graduate studies, Richa conducted research on using machine learning to uncover degradation mechanisms in solar cell materials. This research was published in Nature Computational Materials and presented at respected conferences such as Machine Learning and the Physical Sciences @ NeurIPS 2021 and MRS 2021.
In addition to her research work, Richa actively contributes to the tech community. She recently conducted a workshop at the WiDS (Women in Data Science) Datathon 2023, guiding participants on building weather forecasting models. She also volunteers and serves as a teaching assistant at workshops, such as those organized by MathWorks at the Grace Hopper Celebration (GHC).
Improving the stability and reliability of the application is of paramount importance in SRE engineering. It’s always a challenge for SRE engineers to achieve the same amongst the humongous volume of data that modular and dynamic applications produce today. Before tracking down the actual cause, it’s already time for tackling the next issue. Join us to explore the opportunities that AI provides in making the life of SRE easier and encouraging them to focus on future innovations.
Vijayarajan Ravindran, with 12 years of IT experience has specialized in DevOps, Cloud Computing, Software development, and Artificial Intelligence. As a Senior DevOps Engineer at Amadeus Software Labs, he is responsible for ensuring the reliability of the company’s Continuous Integration and Continuous Delivery (CI/CD) tools, as well as automating deployments, infrastructure, and the instrumentation of new tools that aid the company’s quality assurance (QA) staff. He has worked in the financial and travel industries for over a decade as a software developer and DevOps professional.
In the ever-evolving landscape of technology, mainframes have long been the backbone of critical business operations. However, the advent of Generative AI has ushered in a new era of possibilities for these robust systems. This presentation delves into the transformative potential of Generative AI and its applicability to mainframe environments. Generative AI, powered by deep learning techniques, has gained prominence in various domains, from art and language generation to complex data analysis. This presentation explores how Generative AI can play a crucial role in the mainframe application modernization and innovation.This presentation will also explore some of the real-world use cases we have explored and the lessons learned from them.
Venkat Balabhadrapatruni is a Distinguished Engineer responsible for the architecture of Mainframe DevOps and Application modernization product portfolio in the Broadcom Mainframe Software Division. Venkat has extensive experience in the mainframe modernization and DevOps space, and as a member of the CTO team is also responsible for researching the applicability of new and emerging technologies to the mainframe world.
Moderated by Anoush Najarian, and we have Maitreyi Chitale joining us as the Chat GPT moderator once again!
Join us for an enlightening panel discussion, “Exploring the Transformative Impact of Generative AI in Performance Engineering,” as we dive deep into the world of artificial intelligence and its impact on the field of performance engineering. This panel promises to be an eye-opening exploration of how Generative AI is impacting the landscape of engineering and optimizing complex software systems.
Throughout the event, we will address pivotal questions concerning the impact of Generative AI on industries, creativity, ethics, and the workforce. Discover real-world use cases, learn from lessons learned, and explore how Generative AI is reshaping the future of engineering.