aiqbench analysis
The article centers on the shift toward autonomous AI agents and the critical infrastructure challenges surrounding inference workloads, positioning trust as the primary constraint for scaling these systems. It highlights a significant change in compute dynamics where agent-driven inference now dominates over human usage and training, marking a pivotal moment for enterprise AI adoption. This analysis focuses squarely on the operational realities of agentic AI rather than general software features or unrelated tech topics.
Trust becomes the product: Five takeaways from the Splunk .conf26 keynotes
In Denver this week, Cisco Systems Inc. and its Splunk unit made a bet that the scarcest resource in the agentic enterprise isn’t intelligence or graphics processing units — it’s trust. The Splunk .conf 2026 show themes and keynotes focused less on dashboards, widgets and features and more on who or what is authorized to act in the agentic era. Every vendor conference typically has a center of gravity that serves as a unifying theme.
In Denver this week, Cisco Systems Inc. and its Splunk unit made a bet that the scarcest resource in the agentic enterprise isn’t intelligence or graphics processing units — it’s trust. The Splunk .conf 2026 show themes and keynotes focused less on dashboards, widgets and features and more on who or what is authorized to act in the agentic era. Every vendor conference typically has a center of gravity that serves as a unifying theme. At .conf 26, it wasn’t a product but a word: trust. From the welcome keynote by Cisco President and Chief Product Officer Jeetu Patel (pictured) and Splunk Senior Vice President and General Manager Kamal Hathi to the product keynotes that followed, the themes were consistent: Enterprises are moving from software that answers questions to software that acts, and nobody can scale the latter without a system of record. In his opening keynote, Patel laid the groundwork for the event. “We have squarely moved now from the era of chatbots to the world of agents, conducting tasks for us almost fully autonomously,” he said,…
Excerpt shown under the publisher's RSS terms · 178 words · full text and figures are on the publisher's site
Related coverage
For AI agents, it’s the best of times, it’s the worst of times
SiliconANGLE · Sep 18, 2026

Presentation: Building Evals for AI Adoption: from Principles to Practice
InfoQ · May 29, 2026
Five takeaways from HPE’s Networking Investor Day
SiliconANGLE · Sep 30, 2026
At WebexOne, Cisco’s Jeetu Patel argues the agent era will be won on context, cost and control
SiliconANGLE · Oct 8, 2026