How Elastic Is Expanding Data Observability for the AI Era - Six Five Decode Summit

Our first edition of the Six Five Decode Summit Series, themed “Data as Infrastructure” is out.  We heard from leading enterprise data companies on how data is the key ingredient to innovation and AI.

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How are innovations in search technologies enabling enterprises to harness more relevant context for advanced AI applications?

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Host Brad Shimmin is joined by Elastic's GM of Search Solutions, Steve Kearns, for a conversation on how Elastic is redefining search and context engineering for the AI era. They unpack Elastic's strategy as an "AI Context Engineering" solution, focusing on optimized relevance, developer experience, and the integration of search in modern, federated data environments.

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Key Takeaways Include:

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🔹The fundamental role of context in enterprise AI: Steve Kearns explains why context is critical for AI's value, especially as enterprises manage decentralized, federated data architectures.

🔹Shifting economics of enterprise search with AI agents: AI-powered agents change the calculus of data centralization, with Elastic offering solutions to balance cost and value.

🔹Differentiation beyond vector search commoditization: Elastic stands out by integrating search within a broader operational stack, including observability, security, and agent orchestration.

🔹Importance of developer experience: Elastic focuses on making its developer ecosystem both robust for production and attractive from day one for developer productivity.

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Learn more at Elastic.

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Watch the full video at sixfivemedia.com, and be sure to subscribe to our YouTube channel, so you never miss an episode.

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Disclaimer: The Six Five Media Decode Summit is for information and entertainment purposes only. Over the course of this webcast, we may talk about companies that are publicly traded, and we may even reference that fact and their equity share price, but please do not take anything that we say as a recommendation about what you should do with your investment dollars. We are not investment advisors, and we ask that you do not treat us as such.

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Midway through GTC 2025, Pat Moorhead, Founder, CEO, and Chief Analyst at Moor Insights & Strategy, shares his early insights, revealing a landscape buzzing with AI innovation and a clear vision for the future. Pat highlights takeaways from NVIDIA’s latest GPU launches, AI-driven infrastructure, and how Samsung’s advancements with GDDR7, HBM3E, and SOCAMM will impact the next wave of AI.

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Key takeaways include:

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🔹Hyperscaler Investment Surge: Despite concerns about demand saturation, the reality is a significant increase in computing demand, driven by reasoning engines and agents, leading to rising H100 and H200 prices.

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🔹Fueling the AI Ecosystem: Talks underscored the critical role of advanced memory technologies, with next-generation HBM, eSSD, and the collaborative integration of Samsung’s 24Gb GDDR7 DRAM into NVIDIA’s RTX 50 series, driving the future of AI and high-performance computing.

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🔹AI Pervasiveness: From data centers to gaming PCs, AI is permeating every aspect of technology. NVIDIA’s messaging from GTC underscored the broad applicability of AI across diverse sectors.

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🔹Software Leads the Charge: Contrary to expectations, NVIDIA’s focus was on software, with advancements in CUDA and the introduction of Dynamo, highlighting the critical role of software in enabling AI at scale.

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🔹Hardware Innovations: Announcements like Blackwell Ultra, Rubin, and the enterprise data platform, showcase NVIDIA’s commitment to pushing the boundaries of computing, networking, and storage.

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🔹Data Management is Key: The introduction of the enterprise data platform addresses a critical challenge for CIOs, highlighting the importance of efficient data management in AI deployments.

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Watch the full video above, and be sure to subscribe to our YouTube channel, so you never miss an episode.