Supermetrics AI | Analytics that actually moves
Quick breakdown of why Supermetrics AI matters for agencies, SaaS, and DaaS | and how I’m using it to track SEO and start venturing into Data as a Service.
Your playbook for the infrastructure era. Explore the critical steps to building resilient AI stacks, establishing data governance, and orchestrating GPU resources. Real-world strategies to bridge the gap between technical capability and measurable ROI.
Quick breakdown of why Supermetrics AI matters for agencies, SaaS, and DaaS | and how I’m using it to track SEO and start venturing into Data as a Service.
The era of "lift and shift" is over. Cloud 2.0 is about refactoring for margins, repatriating workloads where it makes sense, and orchestrating for ROI, not just uptime.
Low latency isn't just about speed, it's about cost. How optimizing network routes and cloud proximity reduces the "latency tax" in AI workloads.
Moving beyond chatbots to true orchestration. How Agentic AI and Omnichannel strategies are redefining the contact center (CCaaS) and merging with AIoT for real-time context.
Internet on Demand: multi-path, cellular/FWA, satellite, and Wavelength edge for AI uptime.
Design for continuity: failovers, traffic steering, and clean SLAs. Outages become footnotes.
Policy first, then the stack. BYOD, DLP, immutable backups, DR drills, and KPIs that prove it works.
Passing the baton between edge, 5G overlays, and GPU clouds. Lumen + T-Mobile as the connective AI fabric.
How to choose scalable, resilient GPU clouds. What to evaluate, when metal and colo make sense, and how orchestration keeps AI online.
Culture before code. Vision before velocity. How to align teams, choose when to build or buy, and keep transformation accountable to outcomes.
What the numbers say about AI demand, economic impact, and how to build resilient stacks.
From incident to insight: design for failure, test failover, and ship value during turbulence.