Pure Leadership Series: Conquering AI's Twin Hurdles In Cost Optimization & Scalability

Conquering AI's Twin Hurdles In Cost Optimization & Scalability

AI's potential is immense, but its challenges are equally daunting. Join our Pure Leadership Series webinar organized by Pure Storage and CDOTrends as we tackle the two biggest unknowns: cost optimization and scalability.

Taming Runaway Costs: From data prep to inference, AI workloads are constantly shifting. We'll explore how storage infrastructure can help you manage costs and avoid surprises, even when deploying to edge devices.

Mastering Scalability: Real-time inference, diverse data, and ever-changing models push scalability to the limit. We'll discuss how to build an AI-ready data architecture that avoids over-provisioning and delivers performance at scale.

Key Discussion Areas:

Cloud vs. On-Premises for AI: Understand the cost and flexibility trade-offs and how to allocate resources effectively.

Data Quality & Scalability: Learn how to prepare your data for AI success and avoid scalability bottlenecks.

Model Efficiency vs. Performance: Find the right balance and explore techniques like compression and pruning.

Optimized Inference: Minimize latency and maximize throughput with the proper storage solutions.

Matthew Oostveen

Chief Technology Officer, Asia Pacific & Japan
Pure Storage

Matthew Oostveen is the Chief Technology Officer for Pure in Asia Pacific & Japan. He is a member of the global CTO organization at Pure that helps empower Pure’s customers to reach new heights of capability and efficiency in their organizations as well as guide them in their journey to future technologies.

Oostveen has deep experience in working closely with customers in the region across a range of technologies. Prior to joining Pure, he had CTO roles with Dell EMC and VCE and also worked at leading companies such as IDC, Microsoft and IBM.

As an industry analyst with IDC Matt has authored and published over 50 research papers on a variety of technology related topics, forecasted the IT market and produced predictions documents on how the future will evolve.

This diverse background has given him a unique perspective of the IT landscape with particular deep expertise in the areas of cloud computing, big data, data analytics, mobility and the future workspace, and how these technologies intersect with one another. More importantly, he has a keen understanding of the dynamics between technology and business imperatives which has enabled him to serve as a trusted advisor to many large enterprises.

Oostveen has degrees from the Queensland University of Technology and Macquarie Graduate School of Management. He currently resides in Singapore with his young family and is a certified life saver.

Jin Xin

Head of Data Science and Analytics, Alexandra Hospital
NUHS

Jin Xin leads Data Science & Analytics at Alexandra Hospital, Singapore, with over 15 years in healthcare technology. He specializes in AI, NLP, and data analytics to enhance patient care and operational efficiency. As part of NUHS Group Technology Office, he spearheads Generative AI innovations, including RAG engines, Agentic Flow, and AI validation processes. He developed Bot-NUHS, a versatile Generative AI engine that powers multiple applications within NUHS. This innovative platform is now being considered for adoption by other healthcare clusters across Singapore. Xin's expertise includes cloud architecture, machine learning, and predictive modelling. He holds an Executive Education certificate from Harvard University in AI for Healthcare.

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Pure Leadership Series: Conquering AI's Twin Hurdles In Cost Optimization & Scalability

Conquering AI's Twin Hurdles In Cost Optimization & Scalability

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AGENDA

Welcome Remarks

Lachlan Colquhoun

Panel: Conquering AI's Twin Hurdles In Cost Optimization & Scalability

Moderator: