Be brilliant at the basics: Inside Looking Glass 2026
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Mar 19, 2026 Rickey Zachary, a platform engineering lead modernizing developer experience and AI-enabled delivery. Thomas Squeo, CTO for the Americas with executive AI and platform strategy perspective. They discuss AI fluency and organizational gaps. They stress mastering core engineering practices, platform fundamentals versus new AI interfaces, developer experience and golden paths, plus data and runtime readiness.
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AI Readiness Is A Business Transformation
- AI readiness is a business-aligned transformation requiring executive AI literacy and cross-functional adoption.
- Thomas Squeo stresses COOs and CMOs must see the art of the possible, while tech handles building and scaling.
Data And Compute Converge For AI Workloads
- Data platforms will become heterogeneous with GPUs, knowledge graphs, and RAG stores converging with general AI workloads.
- Rickey Zachary predicts platform teams must manage exotic data stores and GPU runtimes on Kubernetes.
Data Readiness Is The Biggest Production Hurdle
- Data readiness is a primary inhibitor for moving AI systems into production.
- Thomas Squeo recommends medallion-style readiness and focusing on blast radius and regulatory indemnity for production data.
