As Alan Shimel points out, the AI infrastructure market is currently experiencing significant growth, marked by increased investment and innovation. As organizations continue to demand more powerful and efficient computing resources to support complex AI applications, this sector remains a hotspot for technological advancements. Find more coverage of AI Infrastructure Field Day 2 at Techstrong AI.
Techstrong Gang – April 22, 2025
In the April 22 episode of Techstrong Gang, the middle segment features Stephen Foskett discussing AI Infrastructure Field Day and the recent special Tech Field Day event featuring HPE’s ProLiant team. Emphasizing the rapidly evolving technology needed to support AI, Foskett mentions the overwhelming industry interest that has extended the event to four days, instead of the usual two. This segment underlines both the opportunities and challenges in evolving AI infrastructure to become more efficient and sustainable.
Contextual Graph Databases at AIIFD2
Karen Lopez offers an insightful analysis on the advancements and functionalities of contextual graph databases presented at AI Infrastructure Field Day 2. Juniper Apstra uses a proprietary contextual graph database to define desired network outcomes and ensure network operation. The database, queried with customized Gremlin and Cypher, supports analysis of data over time and moving locations.
Google -Perspectives from AI Infrastructure Tech Field Day
Camberley Bates shares insights on Google’s role and impact in the AI infrastructure space as seen during the AI Infrastructure Tech Field Day. The article highlights how Google leverages its expertise to advance AI technologies and infrastructure, influencing various industry practices. For detailed coverage of AI Infrastructure Field Day 2, read more articles by Camberley Bates on LinkedIn Pulse.
AI Needs to Be Boring
Mature technologies deliver business value by integration into boring production applications, so AI needs to be boring. This Tech Field Day Podcast episode features Max Mortillaro, Guy Currier, Jay Cuthrell, and Alastair Cooke. AI has frequently been in the public news, many organizations are busy building AI infrastructure and pipelines, and vendors have tagged their applications with AI to ride the hype. Yet, business value is usually delivered in applications that serve customers rather than generating headlines. The first steps towards AI being a functional but boring part of production applications have emerged, with interoperability mechanisms like MCP and A2A are vital steps towards pervasive AI. Options for Small Language Models (SLM) are opening up more cost-effective use of generative AI, while predictive AI continues to be the standard boring production AI. Data and output safety are other areas for development; avoiding GenAI hallucinations, model poisoning, and data leakage is vital for AI to become boring. Eventually, Generative AI will be as invisible and valuable in mainstream business applications, leading to a return on all the current investments.
What it Takes to Power AI at AI Infrastructure Field Day 2
Alastair Cooke provides a detailed introduction to the companies and technologies participating in AI Infrastructure Field Day 2 this week. His insights highlight the interplay between advanced hardware and optimized software essential for robust AI applications. For additional insights from Alastair Cooke on this topic, visit Techstrong IT and Techstrong AI for full coverage of AI Infrastructure Field Day 2.
Road to AI Infrastructure Field Day 2 – 22-25 April 2025
Lino Telera’s blog provides a preview of AI Infrastructure Field Day 2, scheduled for April 22-25, 2025, to explore the latest innovations and technologies in AI infrastructure. This event promises insightful sessions from industry leaders aimed at advancing the understanding and implementation of AI systems. For further coverage of AI Infrastructure Field Day 2, follow the updates on his blog!
