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Tech Field Day, December 9,2025

Generative AI Coding Tools Make Enterprise Applications Worse

Vol 333 · Issue 2 · 2025-12-09

AI is writing a large proportion of modern software and Generative AI coding tools make enterprise applications worse. This episode of the Tech Field Day podcast looks at AI generated applications with Calvin Hendryx-Parker, Jim Czuprynski, Jay Cuthrell, and Alastair Cooke. Satya Nadella says that up to 30% of the code Microsoft writes is AI generated, AWS is at about 25% AI generated code.

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Generative AI Coding Tools Make Enterprise Applications Worse

Tech Field Day, December 8,2025

Cisco AI Cluster Networking Design

Vol 333 · Issue 2 · 2025-12-08

Steve Puluka's latest post provides a quick look at Cisco's innovative approach to AI Cluster Networking Design, highlighting how Cisco is optimizing network infrastructure to better support AI and machine learning workloads.

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Cisco AI Cluster Networking Design

Tech Field Day, Tuesday, December 2nd, 2025

IBM w/JJ Asghar

Vol 333 · Issue 1 · 2025-12-02

Tony Reeves recently discussed IBM's strategies and innovations with JJ Asghar, shedding light on how IBM continues to lead in tech advancements and solution-driven approaches.

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IBM w/JJ Asghar

Tech field Days, Wednesday, November 19th, 2025

The Resource Costs Of AI

Vol 332 · Issue 3 · 2025-11-19

Steve Puluka examines the significant resources required to train artificial intelligence models, highlighting the high demands in terms of energy, computing power, and data.

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The Resource Costs Of AI

Tech Field Day, Tuesday, November 18th, 2025

The Cloud Experience Is Not A Place

Vol 332 · Issue 3 · 2025-11-18

Alastair Cooke discusses the misconception that the cloud is a specific location, emphasizing that it's more accurately described as an experience influenced by how IT services are delivered and utilized.

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The Cloud Experience Is Not A Place

Tech Field Day, Tuesday, November 4th, 2025

NetAIOps Has Its Challenges

Vol 332 · Issue 1 · 2025-11-04

The industry has embraced AI for every possible problem. Operations will eventually embrace it as well but questions remain about how it will be implemented.

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NetAIOps Has Its Challenges

Tech Field Day, Tuesday, October 28th, 2025

Ready Or Not, AI Is Coming To The Enterprise (35:46)

Vol 331 · Issue 5 · 2025-10-28

Despite widespread skepticism, AI is already widely used in the enterprise, often in the form of so-called shadow applications outside traditional IT. This episode of the Tech Field Day Podcast, recorded on the eve of AI Field Day, features delegates Ryan Booth and Dave Graham discussing the real state of AI adoption in the enterprise with host Stephen Foskett.

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Ready Or Not, AI Is Coming To The Enterprise (35:46)

Tech Field Day, Friday, October 17th, 2025

The Evolution Of Cloud At Cloud Field Day 24

Vol 331 · Issue 3 · 2025-10-17

We're excited to see the future and evolution of Cloud as Cloud Field Day returns to San Francisco on October 22nd and 23rd. You can tune in and watch live on the Tech Field Day website, on LinkedIn, or on our sister site Techstrong TV.

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The Evolution Of Cloud At Cloud Field Day 24

Tech Field Day, Monday, October 13th, 2025

Bringing Agentic AI Applications To Market With Brad Shimmin Of The Futurum Group

Vol 331 · Issue 3 · 2025-10-13

From the very first episode of this podcast back in 2020, we've been focused on practical applications for AI technology, and we're starting to see these come to market with agentic tools. This episode of Utilizing Tech features Brad Shimmin, VP and Practice Lead for Data and Analytics at The Futurum Group discussing the ways AI is gaining autonomy with hosts Frederic Van Haren of HighFens and Stephen Foskett, organizer of AI Field Day.

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Bringing Agentic AI Applications To Market With Brad Shimmin Of The Futurum Group

Techstrong.ai, Friday, October 10th, 2025

Transforming GPU-As-A-Service Into AI Cloud With Rafay

Vol 331 · Issue 2 · 2025-10-10

The conversation around AI infrastructure is often dominated by hardware, specifically GPUs. While essential, this focus misses a larger, more critical point: hardware alone is not enough. The challenge, and the real opportunity, lies in bridging the vast gap between renting raw GPU power and delivering a true, self-service AI cloud experience.

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Transforming GPU-As-A-Service Into AI Cloud With Rafay

Tech Field Day, Wednesday, October 8th, 2025

What If Your Storage Knew How To Talk Back?

Vol 331 · Issue 2 · 2025-10-08

Vriti Magee recently posted on LinkedIn following MinIO's presentation at Cloud Field Day 23. PromptObject allows developers to interact with unstructured data using natural language prompts, retrieving structured JSON responses.

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What If Your Storage Knew How To Talk Back?

Tech Field Day, Thursday, September 4th, 2025

Pushing The Boundaries Of AI Performance, Scale, And Innovation At AI Infrastructure Field Day 3

Vol 330 · Issue 1 · 2025-09-04

Tech Field Day is heading back in Santa Clara, California on September 10th and 11th for AI Infrastructure Field Day 3. You can watch live on the Tech Field Day website, LinkedIn Page, or Techstrong TV to see how the boundaries of performance, scalability, and innovation are being pushed by our presenting companies.

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Pushing The Boundaries Of AI Performance, Scale, And Innovation At AI Infrastructure Field Day 3

Tech Field Day, Tuesday, September 2nd, 2025

Agentic AI Spells The End Of Dial Twiddlers

Vol 330 · Issue 1 · 2025-09-02

If you haven't already, start working with Generative AI now and make sure to control your ongoing costs. This episode of the Tech Field Day podcast features Russ Fellows, Mitch Lewis, and Brian Martin, all from Signal65, and is hosted by Alastair Cooke.

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Agentic AI Spells The End Of Dial Twiddlers

Techstrong.IT, Tuesday, September 2nd, 2025

Can AI Parse Packet Captures?

Vol 330 · Issue 1 · 2025-09-02

I have to admit that if Ward Cobley of VIAVI ever decides to start a second career as a comedian he's going to do very well. His delivery is spot on and the subject he discussed at Tech Field Day Extra at Cisco Live US 2025 was humorous in a non-traditional way. It did get me to start thinking about the limitations of LLMs when it comes to packet capture analysis.

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Can AI Parse Packet Captures?