310 | Breaking Analysis | RSAC 2026 preview: AI hype meets operating model reality
We know that RSAC 2026 is going to be an AI- heavy show. And while we’re going to hear the AI will change everything narrative, our premise is that security leaders are being asked to operationalize AI in an environment where complexity is rising faster than control. Organizations are still struggling to consolidate the sprawl of tools in their security stacks and at the same time apply Zero Trust principles. To avoid AI becoming yet another layer, organizations must tie AI to clear outcomes and integrate intelligence into operating processes. ETR survey data captures the challenge. At least 90 % of organizations say they’re leveraging AI somewhere in their security stack, but 75 % are applying AI to less than 10 % of their security portfolio. And that gap quantifies the degree to which AI is present, but not yet scaled. Most deployments are narrow or tactical and constrained by the same blockers, reliable data access, integration across tools, governance, and trust.
NVIDIA’s GTC focuses on full-stack AI Factories, Inferencing, Agents, and “Tokenomics”
I spent most of the week at the NVIDIA GPU Technology Conference (GTC) in San Jose with 30,000-plus attendees. The highlight of the event is Founder Jensen Huang’s Monday address, and as usual, this year’s keynote lived up to the hype. The talk was packed with history, vision, and innovation. Jenson underscored a significant transition […]
Twilio and the PGA of America Signal the Rise of Data-Driven Fan Engagement Platforms
Twilio and PGA highlight how data-driven platforms enable real-time, omnichannel fan engagement across the full customer journey.
Special Breaking Analysis | Nvidia moves even further down the stack: Why STX signals a new battleground in storage for AI factories
Nvidia’s introduction of its BlueField-4 STX reference architecture is perhaps one of the more under-appreciated announcements coming out of GTC 2026. While much of the attention remains focused on GPUs, LPUs, and NemoClaws for safety, STX signals a significant structural evolution in that Nvidia is extending its control deeper into the AI infrastructure stack – this time into storage.
Special Breaking Analysis | GTC 2026 Preview: Jensen’s Groq “Mellanox Moment” and the Inference Land Grab
Ahead of GTC 2026, we reiterate that the center of gravity in AI is shifting from “how fast can you train?” to “how well can you serve?” Training has ushered in the modern AI era. Inference is where the monetization rubber meets the road. Token economics, latency requirements, power constraints, memory bottlenecks, and ultimately customer willingness to pay will determine how fast and how much AI adopters can benefit. In his remarks on the last Nvidia earnings call, Jensen Huang hinted that NVIDIA intends to push harder into low-latency inference with Groq’s decoder technology – and he’s telegraphing that we’ll see the specifics today at GTC. Low-latency inference is where the edge comes to life, where agentic systems deliver value, and where infrastructure investments start to pay off.
Enterprise Connect 2026: AI Moves From Hype to Execution
Enterprise Connect 2026 highlighted a major shift in the enterprise communications industry. While artificial intelligence has dominated the conversation in previous years, this year’s event showed the market moving beyond AI experimentation toward practical deployment, governance, and measurable outcomes. Across the two days of keynotes, panels, and customer discussions I attended, the message was consistent: […]
Equinix Launches Distributed AI Hub
As enterprises move from AI experimentation to production deployments, infrastructure is rapidly becoming a strategic differentiator. AI workloads are no longer confined to a single cloud or data center. Instead, they increasingly span multiple clouds, private data centers, edge environments and an expanding ecosystem of GPU providers and specialized AI platforms. This shift toward distributed […]
AEO Diagnostics: Create an AI Discovery Advantage
AEO is becoming a critical new discipline in B2B growth as AI-mediated buyer journeys reshape how buyers discover, evaluate, and shortlist vendors. In this episode, Scott Hebner talks with Stas Levitan, CEO of LightSite AI, about why measuring AI visibility is not enough, and why brands must diagnose the technical, narrative, and trust factors that determine whether they are surfaced, cited, and chosen in AI-driven discovery.
The conversation focuses on three underexamined dimensions of AEO success: how AI crawlers actually behave on and off your digital properties, whether your brand narrative is semantically clear enough for AI engines to understand your value and relevance, and how effectively your claims can be validated through credible, citable signals across the broader digital ecosystem. Together, these factors are increasingly shaping which brands AI engines know, trust, and recommend.
Kubernetes Networking Enters a Transition Moment as Ingress Architectures Evolve
Kubernetes networking is shifting as NGINX Ingress transitions and Gateway API reshapes traffic management, hybrid infrastructure, and AI runtime governance.