AI Field Day 8
Enterprise AI is rapidly evolving from experimentation to real-world deployment, and AI Field Day 8 will spotlight the technologies driving that transformation May 13th through 15th, 2026. Across three days, industry leaders including Cisco, HPE, Scality, Solidigm, and Hammerspace will explore agentic AI operations, AI infrastructure management, inference-focused architectures, storage innovation, and the growing role of unstructured data across cloud, core, and edge environments. Hosted by Stephen Foskett, the event will also feature community sessions, live podcasts, interviews, and behind-the-scenes coverage as enterprises prepare for the next wave of AI adoption. Watch live on LinkedIn, YouTube, Techstrong TV, and our website.
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Enterprise AI Moves From Experimentation to Real-World Operations at AI Field Day 8
Enterprise AI is rapidly evolving from experimentation to real-world deployment, and AI Field Day 8 will spotlight the technologies driving that transformation May 13th through 15th, 2026. Across three days, industry leaders including Cisco, HPE, Scality, Solidigm, and Hammerspace will explore ag...
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107. Mistaking Quantity for Quality in Tech and Life - Tech Field Day Podcast
Now that AI has enabled us to have an unlimited amount of content, generated on demand and instantly, we find ourselves questioning the quality of the output. This episode of the Tech Field Day podcast, recorded prior to AI Field Day by delegates Barbara Roos, Guy Currier, Dave Graham, and Stephe...
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Selector AIOps for Full-Stack Observability
Selector AIOps is a game-changing full-stack observability platform that leverages AI/ML to solve the network and infrastructure visibility gap. Traditional observability solutions have failed to keep pace with the increasing complexity and scale of modern networks, leading to prolonged Mean Time...
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How Does Selector Use Al ML To Solve The Challenge?
Enterprises are faced with overwhelming challenges trying to manage their hybrid and multi-cloud networks. AIOps platforms have emerged as a potential solution to help network operators manage their complex environments. At Selector, we believe that bringing network and AI/ML expertise together i...
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Unstructured Data and the New Economics of Enterprise AI with Hammerspace
Hammerspace operates as a non-proprietary, standards-based, software-defined data platform designed to unify an enterprise's unstructured data estate, encompassing object storage and NAS, without requiring data movement. It orchestrates and automates data movement based on policies, enabling acce...
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Delivering Agility in Partner Environments with Hammerspace and Hitachi Vantara
Hammerspace and Hitachi Vantara have forged a strong partnership to deliver agility in partner environments, particularly for AI workloads. Hitachi Vantara's Chief AI Strategist, David Chapa, explained that this collaboration is not competitive but rather complementary. Hammerspace does not aim t...
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Cisco Intelligent Observability and AgenticOps for Data Center Networking
Cisco presented its vision for intelligent observability and AgenticOps in data center networking, emphasizing how AI is no longer optional for modern data centers. Anant Shah, Senior Product Manager, highlighted the goal of eliminating silos and reducing mean time to resolution by integrating va...
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Cisco AgenticOps with Customer-Owned LLM
Cisco's presentation at AI Field Day 8 addressed the growing complexities in enterprise network operations, where siloed teams across NetOps, SecOps, and AppOps grapple with a sprawl of disparate dashboards and a lack of consistent context during incident response. Meghan Kachhi emphasized that w...
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AgenticOps with Cisco Al Canvas
Cisco is addressing the pervasive fragmentation in IT operations, where critical problems often take days or even months to resolve due to disparate data sources and manual correlation across various domains like applications, security, compute, and networking. With different products and special...
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Fueling Autonomous, Agentic AI and Beyond with HPE ProLiant Compute
Bharath Venkat from HPE presented the company's comprehensive portfolio of AI solutions, emphasizing a customer-centric approach that meets organizations at any stage of their AI journey. He highlighted the pervasive impact of artificial intelligence across diverse industries such as healthcare, ...
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From Al Pilot to Production - A Better Path Than DIY or Public Cloud with HPE
HPE Private Cloud AI delivers an engineered solution designed to accelerate the journey from AI pilots to production, offering a compelling alternative to building systems from scratch or relying solely on public cloud services. This mature platform, with over a hundred global deployments across ...
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Why Data Infrastructure Needs to Become Autonomous with Scality ADI
Scality unveiled its new product, Scality ADI, or Autonomous Data Infrastructure, which aims to address significant market shifts and customer challenges. Paul Speciale, the Chief Marketing Officer, introduced the solution, highlighting Scality's 15 years of experience in storage software, with a...
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How Do You Build a UI for an Exabyte-Scale Distributed Storage System with Scality
Scality CTO Giorgio Regni opened by addressing the complex challenge of managing exabyte-scale distributed storage systems, which involve thousands of drives, intricate networking, and microservices architecture. He recounted Scality's twelve-year journey in UI and UX design, starting with early ...
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Introducing Scality ADI - Autonomous Data Infrastructure
Scality introduced its Autonomous Data Infrastructure, Scality ADI, at AI Field Day 8, positioning it as a necessary evolution beyond traditional storage models that are no longer adequate for the demands of artificial intelligence. Billy Cashwell, Director of Product Marketing, explained that pa...
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AI-Assisted Operations with Scality ADI
Scality presented its AI-Assisted Operations with Scality ADI, addressing the challenge of exponentially growing storage demands versus static operational teams. The company aims to bridge this gap with AI, not just as a dashboard, but as a new way of operating its platform. Scality's solution, G...
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The Anatomy of a Prompt with Solidigm
Solidigm presented on the anatomy of an AI prompt, emphasizing storage as a critical day-zero design decision for building AI inference infrastructure. Kapil Karkra demonstrated how a simple user prompt can undergo massive "token amplification," transforming a small input into tens of thousands o...
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AI-Optimized SSD and Hardware Solutions with Solidigm
Solidigm emphasizes that storage is a foundational, day-zero consideration for successful AI infrastructure, likening it to the essential dough for a great pizza. The company advocates for a holistic approach to AI storage architecture, moving beyond simply adding more bytes to existing boxes. Th...
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Scaling Intelligence Through the Memory Hierarchy with Solidigm
Solidigm's presentation at AI Field Day 8, led by Kapil Karkra, highlighted memory capacity as a critical, often overlooked, third axis for scaling AI intelligence, alongside model size and compute power. Solidigm introduced its "CRAFT" framework to define and measure AI intelligence across five ...
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How KV Cache Changes AI Performance: Solidigm Explains the Hidden Path of Every Prompt - Tech Talks
What really happens after you hit enter on an AI prompt? At AI Field Day 8, Stephen Foskett sits down with Solidigm’s Scott Shadley to break down the journey of AI data from user prompt to hardware infrastructure. Learn how tokens move through memory, storage, and KV cache, why GPUs spend so much...
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The Human Imperative, Tokenomics, and the Reality of AI - AI Field Day 8 Delegate Roundtable
Stephen Foskett, organizer of Tech Field Day, moderated a delegate roundtable discussion at AI Field Day 8, providing a platform for participants to share their perspectives on the current state of artificial intelligence following the event's presentations. A prominent theme across the discussio...
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The Next Wave of Al - Inference Outside the Hyperscale Data Center with Guy Currier of The Futurum Group
Guy Currier of The Futurum Group presented on "The Next Wave of AI," focusing on the increasing importance of inference outside hyperscale data centers. He highlighted a maturing AI market characterized by a significant shift in investment from AI training towards AI inference. This trend, suppor...
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Standardizing Gen Al Service Evaluation, An API-Centric Benchmarking Approach with David Kanter
David Kanter detailed the ongoing evolution of MLPerf benchmarks, which have been an industry standard for seven years. He highlighted the need for fundamental changes, particularly in the visualization of results, moving from an outdated, spreadsheet-like format to a more modern and understandab...
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Agent-to-Agent and Agent-to-Payment Exploration with Ryan Booth
Ryan Booth presented his exploratory work on agent-to-agent (A2A) and agent-to-payment (A2P) protocols, focusing on their potential to revolutionize how knowledge is shared and communication occurs between AI agents. A2A provides a structured method for agents to interact, even across different i...
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"Full Frontal Chaos" of AI: Unpacking the Current Wild West of AI Tools | Utilizing AI Episode 28
The artificial intelligence market is currently experiencing a period of total chaos, leaving businesses and developers scrambling to keep up with an overwhelming flood of new models, frameworks, and technologies.
Recorded live on-site at AI Field Day 8, host Stephen Foskett sits down with indu...