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Insights on AI, security, software architecture, and building what's next for ambitious businesses.
2167 articles · Page 45 of 109
Holding the Line: When NOT to Upgrade to the Latest Model
Framework for deciding when to skip model upgrades. Avoid chasing every release—stay stable, reduce technical debt, and ship faster.
How to Run a Model Bake-Off in 1 Week
Framework for running a model bake-off in 1 week. Repeatable process for evaluating AI models on your data, shipping faster, and reducing costs.
Implementing NIST AI RMF: A Practitioner's Path
Step-by-step guide to implementing NIST AI RMF controls in mid-market companies. Evidence patterns, tooling, review cadence, and audit-ready frameworks.
Migrating from Power BI to Superset for Australian Government Organisations
Complete migration playbook: Power BI to Superset for AU government. Scoping, governance, costs, cutover patterns and compliance.
SOC 2 for Healthcare Startups: The Australian Path
90–120 day SOC 2 audit roadmap for Australian healthcare startups using Vanta and PADISO. Scoping, evidence, and post-audit operations.
Sonnet 4.5 vs Gemini 2.5 Pro: A Production Decision Guide
Compare Sonnet 4.5 and Gemini 2.5 Pro on latency, accuracy, cost, and tool-use. Includes benchmarks and routing decisions for production AI workloads.
Sonnet 4.6 in Financial Services: A 2026 Adoption Playbook
Deploy Sonnet 4.6 in financial services with production architectures, governance, data residency, and ROI benchmarks. Real-world 2026 adoption strategies.
Sonnet 4.6 in Media: A 2026 Adoption Playbook
Discover how media teams in 2026 are deploying Claude Sonnet 4.6 in production—real architectures, governance, data residency, and ROI benchmarks for
Using Sonnet 4.6 for Sentiment Analysis: Patterns and Pitfalls
Production-grade patterns for deploying Sonnet 4.6 on sentiment analysis. Covers prompt design, validation, cost optimisation, and failure modes engineering teams hit.
Adding Gemini to a Claude-First Stack: When and How
Repeatable framework for integrating Gemini into Claude-first AI stacks. Learn when to add Gemini, how to evaluate both models, and build resilient multi-model systems.
Apache Superset for Embedded Customer Analytics in Finance
Build embedded customer analytics in Superset for finance. Data modelling, dashboard design, rollout patterns, and SOC 2-ready architecture.
Apache Superset for Healthcare Systems: A 2026 Adoption Guide
Deploy Apache Superset in healthcare with governance, security, and compliance. 90-day rollout guide for embedded analytics in regulated environments.
Apache Superset for Manufacturing Quality: A Reference Dashboard Set
Complete guide to building manufacturing quality dashboards in Apache Superset. Data models, key metrics, drilldown patterns, and scalable schema designs.
Apache Superset + Prefect: A D23.io Reference Architecture
Production architecture for Apache Superset on Prefect. Connection patterns, query performance, caching, and operational quirks from D23.io deployments.
Apache Superset + Trino: Security Model
Practitioner guide to securing Apache Superset on Trino. Configuration patterns, benchmarks, and operational habits for production deployments.
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.