About the Tech Talk
Join us for an insightful webinar that delves into the latest trends and best practices in enterprise AI adoption. Vijay Karunamurthy from Scale AI and Raghvender Arni from AWS will share key findings from the 2024 AI Readiness Report, focusing on the rapid deployment of generative AI, optimization techniques like fine-tuning and retrieval augmented generation (RAG), and addressing critical concerns around data security, privacy, and ethics.
Discover how leading organizations are navigating the challenges of deploying AI in production environments, aligning initiatives with business objectives, and leveraging AWS Bedrock to fine-tune models for enhanced performance. The speakers will also discuss effective test and evaluation strategies to ensure model safety and reliability, as well as the role of industry standards in mitigating risks. Key takeaways:
- Understand the latest trends in enterprise AI adoption, including the rapid deployment of generative AI models and the challenges organizations face in production environments.
- Discover best practices for optimizing AI performance through techniques like fine-tuning, prompt engineering, and retrieval augmented generation (RAG), and learn how to overcome challenges in evaluating performance and handling data transformations.
- Explore the role of industry standards and benchmarks in assessing model performance and mitigating risks associated with AI deployments.
Whether you're a C-suite executive, technical leader, or individual contributor, this webinar will provide valuable insights to help you harness the power of generative AI and drive successful implementations within your enterprise. Don't miss this opportunity to learn from experts and stay ahead of the curve in the rapidly evolving AI landscape.
About Vijay Karunamurthy
Vijay Karunamurthy is the field Chief Technology Officer at Scale AI, where he works to democratize the capabilities of Generative AI and Large Language Models, partnering with large model providers, governments, and Fortune 500 companies. Prior to Scale, Vijay was a Director of Engineering at Apple and Google, where he worked on applications of AI for personalizing content and user experiences. Vijay was an early employee at YouTube (prior to the acquisition by Google), and led Search and Discovery of videos. He also led a startup focused on Machine Learning for live video (acquired by Apple.)
About Raghvender Arni
Raghvender Arni (Arni) leads the Customer Acceleration Team (CAT) within AWS Industries. The CAT team is a global cross functional team of customer facing cloud architects, software engineers, data scientists, AI/ML experts & designers that drives innovation via advanced prototyping, drives cloud adoption via specialized technical expertise and drives talent development by working closely with early career and university talent. CAT works with AWS’ top 300+ customers across multiple industry verticals and has been leading innovation in AI/ML including Generative AI, IOT, Robotics, Spatial and advanced data & computing technologies. Arni is also the single threaded leader for Generative AI across AWS Industries, driving industry use cases, application architecture & patterns and working with service team in driving the AWS Generative AI roadmap.
Prior to AWS, Arni led a global team of technologists at Pivotal (acquired by VMWare) driving digital transformation for some of the largest Global 2000 companies. He began his career at Bell Labs Research after graduate studies in Computer Engineering and has been a founder, engineering leader, product and GTM leader.
About Jessica Zhu
Jessica Zhu is the tech lead of Scale's Generative AI Growth team. She has spent the past few years working on various products at the forefront of AI, including document processing, computer vision, and LLM infrastructure. In her free time she enjoys traveling, boxing, and playing board games.
