Cisco Customer Experience Evolves from Reactive Support to AI-Driven Operational Intelligence
Why Customer Experience Is Becoming a Strategic AI Platform At Cisco Live 2026, much of the conversation centered on AI infrastructure, agentic operations, and autonomous networking. However, one of the more important shifts taking place may be occurring within Cisco Customer Experience (CX). During a recent conversation with Eric Knipp, Senior Vice President and General […]
Cisco Live 2026 Signals the Shift from AI Experimentation to Agentic Operations
Cisco Live 2026 Signals the Shift from AI Experimentation to Agentic Operations At Cisco Live 2026, one theme stood above all others: AI is moving beyond experimentation and productivity assistance into operational deployment. In a conversation with Jeff Schultz, Senior Vice President of Portfolio Strategy at Cisco, it became clear that Cisco views the industry […]
Cisco’s Reinvention Enables Organizations to Scale AI: Thoughts from Cisco Live 2026
The Platform Strategy Evolution Cisco Live 2026 hosted 20,000 attendees from 75+ countries in Las Vegas. The event was filled with new product announcements, demonstrations, and technical innovations, but the most important takeaway was not any single technology launch. Rather, it was the continued evolution of Cisco itself. Two years ago, Jeetu Patel remarked that […]
Digital Sovereignty Becomes a Strategic Enterprise Architecture Priority
Why digital sovereignty is evolving beyond compliance into a core enterprise architecture and AI strategy concern.
317 | Breaking Analysis | Snowflake, Databricks and the Model Makers: The Battle for the Agentic Client and AI Backend
Agentic AI is being misread as a set of separate battles: Snowflake versus Databricks, copilots versus agents, model makers versus application vendors. We believe the larger fight is converging around a single question: who owns the new intelligent client and the AI backend that makes it useful? The new client is the agent-based system of engagement – Snowflake CoWork and CoCo, Databricks Genie, Microsoft Copilot, Google Gemini Enterprise, ChatGPT/Codex, Claude/Cowork and others. These clients will become the place where business users, builders and agents get work done. But they require a new backend – what we call the System of Intelligence – that models enterprise data, business rules, institutional knowledge, context and workflows in a way that humans and agents can understand and act upon.
What Microsoft Build 2026 Means for AI Agent Security and Governance
For years, applications were defined artifacts. You could assess them, test them, and make a reasonable determination that they were safe to deploy. That model does not apply to the AI-driven applications that organizations are building. Models update continuously. Agents interact with external systems at runtime. Decisions depend on context and retrieved information that didn’t […]
AI-First Organizations Are Rewriting the Rules of Software Delivery
Why AI-first organizations are redesigning workflows, teams, and software delivery models for production-scale AI.
Why Is Snowflake Talking About Ransomware at an AI Conference?
At Snowflake Summit 2026, the company announced new ransomware and data exfiltration protection capabilities as part of its Horizon Catalog security portfolio. On the surface, the pairing seems off. Ransomware is a mature security problem. AI agents are a new technology challenge. Most vendors discuss them in separate conversations, under separate budgets, with separate teams. […]
Special Breaking Analysis | Snowflake moves up the AI stack – but the System of Intelligence is still being built
Snowflake Summit 2026 is shaping up as the point at which Snowflake makes explicit what has been building for several years – i.e. the company is no longer content to be viewed as a cloud data warehouse, or even a data cloud. It is moving up the AI software stack toward the layer we have been calling the System of Intelligence – the enterprise context layer that organizes data, semantics, governance, business logic, actions, agent traces and institutional knowledge so humans and agents can ask better questions, get better answers and eventually take governed action.