Join us for AI Field Day 9 on October 14–15 as industry experts, analysts, and delegates tackle the critical economic, operational, and infrastructure challenges of scaling enterprise AI in production.

Featuring key presentations from Signal 65, ETR, CoreWeave, and DDN alongside live Utilizing ...

Learn more about ⁠AI Field Day 9 here⁠.
⁠When deciding how to use AI, businesses must consider the full impact, not just the financial cost. ⁠
⁠This episode of the Tech Field Day podcast⁠, recorded prior to ⁠AI Field Day 9,⁠ brings together ⁠Ron Pagani, Jr.⁠, ⁠John Willis⁠, ⁠Dave Nicholson⁠, and ...

Shane Robbins from CoreWeave discusses the fundamental shift occurring as artificial intelligence initiatives transition from experimental pilots to production deployments. While pilot projects permit flexible timelines, limited users, and manual oversight, production applications demand rigorous...

David Corbitt introduces CoreWeave Forge post-training, explaining how his background co-founding OpenPipe led to CoreWeave acquiring the company to bring accessible fine-tuning to enterprises. Forge provides an integrated environment where observability, post-training, and inference work togethe...

Nisha Nadkarni, a specialist field engineer at CoreWeave, delivered a presentation on CoreWeave inference, detailing the process from model training to production scale serving. She introduced CoreWeave Forge as an additional development layer built upon CoreWeave's core compute offerings, design...

CoreWeave Agent Lens provides intelligent observability purpose-built for enterprise scale, monitoring agents to diagnose and fix issues. It is part of Forge, CoreWeave’s development layer for building and improving models and agents, specifically focusing on the agent development side. Forge uni...

Russ Ratshin from CoreWeave's product marketing team presented a live demo demonstrating how to connect the AI loop using CoreWeave Forge. He explained that the AI loop is a recognized workflow for developing AI agents, and CoreWeave Forge serves as the environment to facilitate this process. The...

Eric Wright, a consulting solutions architect with DDN, introduced the presentation by highlighting the growing importance of AI inference workloads, which now account for 80% of AI activity compared to training. He characterized this shift as "thinking fast and furious," drawing an analogy to hu...

DDN, represented by Eric Wright and Scott Ekstrom, discussed their solutions for AI inferencing, building on their success in AI training. They highlighted the AI data pipeline as a continuous loop involving ingest, prepare, train, and inference stages. DDN's Exascaler is used for the ingest, pre...

DDN, represented by Eric Wright and Scott Ekstrom, presented an overview of the complex AI inference lifecycle, highlighting their role in optimizing this process. The presentation, titled "Welcome to the Loop," illustrated the end-to-end path, beginning with initial prompts and system instructio...

Ryan Shrout, who leads Signal65, presented Pinnacle as an innovative approach to performance analysis and testing for AI models. Drawing from his extensive background in measuring CPU and GPU performance, including a tenure at Intel’s competitive analysis group, he highlighted that Pinnacle moves...

Erik Bradley from ETR, now a Futurum company, presented findings on the "model wars" in enterprise AI, focusing on how actual enterprises are rating and using various models rather than just benchmark rulings. ETR's research spans 16 years, drawing insights from over 10,000 vetted technology lead...

Learn more about AI Field Day 9 here.

Is NVIDIA destined to become the enterprise AI equivalent of IBM, or is the illusion of an unbreakable hardware monopoly already beginning to crack?

Recorded live from AI Field Day 9, this episode of Utilizing AI features host Stephen Foskett and an expert...

Keith Townsend introduced his 4+1 AI Infrastructure Model as a necessary framework to understand the complexities of AI, stemming from his own experience migrating a virtual persona. He discovered that moving off a cloud provider exposed many underlying services like vector stores and semantic se...

Dave Graham introduced "Leonardo a Contemporary Artwork," a unique project born from his solo AI lab exploring AI for fun rather than typical work applications. He sought to create something distinct from revenue-driven AI, choosing art as his medium. Specifically, he decided to use AI to generat...

Scott Robohn of Solutional presented on building trust in AI systems at AI Field Day 9, emphasizing that trust must be intentionally built, not merely assumed, with any new technology. He noted that AI is still in a phase of finding its appropriate use cases rather than being a universal solution...

John Willis began by introducing his current work on his 14th book, which delves into the history of quantum computing. He recounts how his previous book, "Rebels of Reason," a 100-year history of AI, and his experience with "the DevOps handbook" led him to explore quantum. He humorously frames t...

Stephen Foskett introduces Meta's Muse as the worst consumer product ever released, despite its widespread success and perceived user-friendliness. He highlights its rapid adoption, becoming a number one app faster than ChatGPT, and its pervasive advertising. Muse is designed to be enticing and a...

Learn more about AI Field Day 9 here.

AI is rewriting the rules of IT, but succeeding in this new landscape requires more than just memorizing prompts and syntax.

Recorded live from AI Field Day 9, this episode of Utilizing AI features Stephen Foskett talking with industry veterans Dave Graham...

AI Field Day 9 marks the transition of artificial intelligence from experimental training labs to day-to-day enterprise operations.

On this episode of Tech Field Day Takeaways, Stephen Foskett breaks down key insights from enterprise infrastructure leaders and analysts—including CoreWeave, DDN,...