Biography:
Chris Williams is the Senior Manager, eResearch – Research Infrastructure at QUT. He is axperienced Information Technology Professional skilled in AWS Solution Architecture, Cloud Migration and Deployment, Linux and Windows System Administration, Databases, Automation , Large Scale Compute and Sto
Christopher Jenkins is the Senior Sales Engineer at WEKA. Christopher joined WEKA in 2022, where he provides technical expertise and leadership guidance to help customers achieve successful outcomes in their cloud transformation and infrastructure modernisation journeys. With nearly a decade of experience, Christopher is a trusted advisor to enterprises and governments in the Asia Pacific, demonstrating a proven track record of leading large-scale transformational projects in cloud technologies, AI, and HPC to drive innovation and accelerate business growth.
Christopher holds a Master Certificate in Cloud and Virtualization from Charles Sturt University, Australia, as well as an AWS Solution Architect Associate Certification.
Throughout his career, he has made significant contributions to the field with published articles on hybrid cloud adoption in media and entertainment at the SMPTE Conference in 2017, and more recently, on how Edge-AI addresses big data challenges of IoT in the cloud edge at the International Conference on Innovation Technology in Intelligent Systems and Industrial Applications (CITISIA) in 2024
Abstract:
Introduction: HPC and AI are transforming industries, driving the need for advanced data platforms to manage increasingly complex and large volumes of data. This presentation highlights WEKA’s role in facilitating these transformations.
Methods: Explore WEKA’s collaborations with industry leaders, focusing on integrating high-performance data platforms. The discussion covers technical methodologies, infrastructure setups, and performance benchmarks, showing how these integrations streamline data operations.
Results: Significant advancements include improved data throughput, latency reduction, and computational efficiency. We will deep dive into real-world customer examples that demonstrate successful implementations, showcasing enhanced data processing capabilities and accelerated AI model training.
Conclusion: Innovative data platforms, in partnership with industry leaders, are crucial for advancing HPC and AI. This presentation underscores the role of robust data infrastructure in unlocking the full potential of these technologies, advancing research, and practical applications across multiple domains.