Nvidia Spark Doing Real Work - What is the top CTO concern across 15 years of Tech Field Day?

Описание: In this lightboard session, Keith Townsend examines why many AI demos collapse under real-world scale—and what actually matters when enterprises move from experimentation to production.

Using more than 15 years of conversations from Tech Field Day—over 2,000 videos and approximately 230,000 transcript segments—this analysis explores how CTO-level concerns surface when AI is applied to production data, not curated demos.

To process data at this scale, the workflow leverages an NVIDIA Spark–based platform and modern inference tooling, highlighting a critical distinction:
demo performance does not equal production capability.

Topics covered in this video:

Why single-prompt AI demos misrepresent enterprise reality

The operational cost of large-scale classification and analysis

How platform choices (vLLM, CUDA, ROCm, MLX) influence feasibility and iteration speed

Why model availability and ecosystem support matter more than parameter count

What large-scale analysis reveals about real CTO decision criteria

Key finding:

Across hundreds of thousands of classified segments, risk consistently outweighs cost and technical capability as the primary concern for CTOs. Adoption risk, operational risk, and career risk dominate AI decision-making—far more than raw performance benchmarks.

This session is intended for:

CTOs and CIOs evaluating AI infrastructure strategies

Enterprise architects responsible for scaling AI beyond pilots

Vendors seeking to understand buyer hesitation

Platform teams focused on responsible AI enablement

Subscribe to The CTO Advisor for practitioner-led analysis that focuses on systems, tradeoffs, and decision clarity—beyond the demo.

🔗 https://thectoadvisor.com

🔗 Follow: @CTOAdvisor