Generative AI for Performance - Computer Measurement Group
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Generative AI for Performance

Join us for ‘Generative AI for Performance [Engineering],’ a cutting-edge virtual event that explores the transformative power of artificial intelligence in the field of performance engineering. Discover how generative AI is reshaping the future of engineering, optimizing systems, and pushing the boundaries of innovation. Connect with experts, gain insights, and explore real-world applications of AI for enhancing performance across industries.

October 19 / 10:00AM – 02:00PM ET


The 3rd Wave of AI

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.

Generative AI and Mainframes: The start of a bright new future

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.

Evolution of SRE with Gen AI

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.

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