Most IT executives have a fundamental understanding of AI's remarkable potential and capability. Unfortunately, that does not translate into a workable IT infrastructure strategy or an understanding of the differences between AI-optimized infrastructure, conventional IT, and cloud provisioning.
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Table Of Contents
- Synopsis
- Moving From Prototyping To Production Is Problematic - But It Doesn't Have To Be
- Key Considerations For IT Executive
- Conclusion
- Figure 1: Three Steps Of AI Model Creation
Companies Cited
- NVIDIA
Paul Smith-Goodson is the Moor Insights & Strategy Vice President and Principal Analyst for quantum computing and artificial intelligence. His early interest in quantum began while working on a joint AT&T and Bell Labs project and, during 360 overviews of Murray Hill advanced projects, Peter Shor provided an overview of his ground-breaking research in quantum error correction.
Patrick founded the firm based on his real-world world technology experiences with the understanding of what he wasn’t getting from analysts and consultants. Ten years later, Patrick is ranked #1 among technology industry analysts in terms of “power” (ARInsights) in “press citations” (Apollo Research). Moorhead is a contributor at Forbes and frequently appears on CNBC. He is a broad-based analyst covering a wide variety of topics including the cloud, enterprise SaaS, collaboration, client computing, and semiconductors. He has 30 years of experience including 15 years of executive experience at high tech companies (NCR, AT&T, Compaq, now HP, and AMD) leading strategy, product management, product marketing, and corporate marketing, including three industry board appointments.
