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Insights on AI, security, software architecture, and building what's next for ambitious businesses.
969 articles in Guide · Page 14 of 49
AU Government AI Procurement: Security Posture Requirements
Essential guide to AU government AI procurement security controls, audit readiness, and compliance requirements for vendors and agencies.
CDR Compliance for AI-Driven Banking Applications
Complete guide to CDR compliance for AI banking. Controls, evidence patterns, audit prep, and implementation steps from PADISO's customer engagements.
Choosing a Default Model for Document Review
Framework for selecting and re-evaluating AI models for document review. Repeatable process for engineering teams through 2027.
Google Gemini Release: Production Evaluation Checklist for Enterprises
Enterprise checklist for evaluating Google Gemini releases in production. Framework for engineering teams to assess model updates, safety, compliance, and deployment readiness.
Haiku 4.5 in Real Estate: A 2026 Adoption Playbook
Real estate teams deploying Haiku 4.5 in production: architectures, governance, data residency, ROI benchmarks, and the tasks where Haiku 4.5 delivers results.
ISO 42001 in Australian Healthcare: A Practitioner's Walkthrough
Real evidence patterns, common pitfalls, and audit timelines for ISO 42001 implementation in Australian healthcare organisations.
The Logistics AI Operating Model in 2026
End-to-end logistics AI operating model: governance, build vs buy, vendor selection, and maturity curve from pilot to portfolio deployment.
Opus 4.6 vs Gemini 2.5 Pro: A Production Decision Guide
Detailed comparison of Claude Opus 4.6 and Gemini 2.5 Pro for production workloads. Latency, cost, accuracy, tool-use benchmarks and routing decision tree.
SOC 2 in Australian Government: A Practitioner's Walkthrough
SOC 2 compliance for Australian government organisations. Real audit timelines, control patterns, common pitfalls and practical implementation steps.
SOC 2 for Financial Services Startups: The Australian Path
Get SOC 2 audit-ready in 90–120 days. PADISO Fast Track guides Australian fintech startups through scoping, evidence collection, and post-audit operations.
Using Sonnet 4.6 for Clinical Decision Support: Patterns and Pitfalls
Production patterns for deploying Sonnet 4.6 in clinical decision support. Prompt design, validation, cost optimisation, and failure modes engineering teams encounter.
Using Sonnet 4.6 for Marketing Brief Generation: Patterns and Pitfalls
Production-grade patterns for deploying Sonnet 4.6 on marketing brief workflows. Prompt design, validation, cost optimisation, and failure modes.
Why Mid-Market Buyers Choose D23.io for SSO and SCIM Out of the Box
Discover why mid-market companies choose D23.io managed Superset for built-in SSO and SCIM. Cut identity costs, ship faster, pass audits.
Apache Superset on ECS Fargate: Reference Deployment Pattern
Step-by-step production Superset deployment on ECS Fargate. Covers networking, storage, secrets, autoscaling, and operational habits for reliability.
Apache Superset for Embedded Customer Analytics in Hospitality
Design and operate embedded customer analytics on Apache Superset for hospitality. Data modelling, dashboard design, and rollout patterns.
Apache Superset for Operational Dashboards in Retail
Design and operate retail dashboards on Apache Superset. Data modelling, dashboard design, and rollout patterns for retail ops teams.
APRA CPS 230 Operational Risk and AI Vendors
Master APRA CPS 230 operational risk compliance for AI vendors. Controls, evidence patterns, audit prep and practical implementation steps from PADISO.
APRA CPS 234 in Australian Healthcare: A Practitioner's Walkthrough
APRA CPS 234 in Australian healthcare: control design, audit timelines, common pitfalls, and implementation patterns. Practical guidance for compliance.
APRA CPS 234 in Australian Insurance: A Practitioner's Walkthrough
APRA CPS 234 compliance guide for Australian insurers. Real controls, audit timelines, common pitfalls, and practical implementation steps.
Claude in Production: Observability
Production observability patterns for Claude deployments. Covers architecture, instrumentation, failure scenarios, and cost control with code examples.