High-Performance Architecture: An Engine to Drive Your AI Strategy Forward | Experts
Event Overview
Generative AI initiatives are taking flight across the world as organizations of all kinds explore new and innovative ways to put the disruptive technology to use. But has anyone stopped to think if their IT infrastructure is ready to meet the intense data demands required of advanced AI solutions? Join Derrick Monahan, WWT’s data strategy and high-performance architecture practice manager, as he talks about the vital nature of high-performance architecture — the merger of high-performance computing (HPC) and AI and machine learning (ML) workstreams into one architectural framework with the core IT infrastructure components needed to unlock the seemingly unlimited world of possibilities made possible by AI. Derrick also talks about the role of data and data governance, real world use cases being used in today’s business landscape and ways you can put all of it into action.
Featured Speaker
What to expect
- Get hands-on, on-demand experience
- Capture real-world insights and research
- Leverage practical and actionable guidance
- Compare, contrast and validate multi-vendor solutions
- Think creatively about strategy
- Tap into our industry-leading expertise and unparalleled training
Goals and Objectives
Gain a clear understanding of the difference between high-performance compute, storage and architecture and what it includes; learn about the relationship between data and the infrastructure required to get the most out of data; start thinking creatively about strategy and governance.
Who should attend?
C-suite executives looking to better direct AI initiatives; data scientists, engineers, and consultants looking to stay ahead of the curve in AI and ML technologies; anyone interested in how organizations can enable AI in their workplace.
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