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Insights on AI, security, software architecture, and building what's next for ambitious businesses.
2167 articles · Page 49 of 109
AI Agents in Production: Agentic Customer Support
Real patterns for shipping agentic customer support at scale. Architecture, code, operational quirks, and production-ready design from teams that ship.
AI in Construction: Tender Response Automation Patterns That Work in 2026
Production-tested AI patterns for tender automation in construction. Architecture, model selection, governance, ROI benchmarks, and implementation steps that survive pilot-to-production.
AI-Driven Value Creation in Healthcare Portcos
PE operating playbook for healthcare portfolio companies. AI diligence, value-creation, compliance, and exit positioning with real benchmarks.
AI-Driven Value Creation in Professional Services Portcos
Strategic playbook for PE operating partners: AI value creation, capability rollout, and exit positioning in professional services portfolios.
AI Governance in Hospitality: A Board-Ready Framework
Build a board-ready AI governance framework for hospitality. Risk appetite, policy, audit cadence, and compliance strategies that satisfy regulators.
AI in Manufacturing: Engineering RFQs Patterns That Work in 2026
Production-tested AI patterns for engineering RFQs in manufacturing. Architecture, model selection, governance, ROI benchmarks, and pilot-to-production steps.
AI Risk: Model Hallucination in Enterprise Deployments
Enterprise guide to detecting, controlling, and monitoring AI hallucination risk. Detection patterns, incident response, and governance frameworks for production deployments.
AI Risk: Prompt Injection in Enterprise Deployments
Master prompt injection risks in enterprise AI. Learn detection, controls, monitoring, and incident response for agentic AI deployments.
Evaluating a New Claude Release Without Re-Testing Everything
A repeatable release drill: the frozen eval set, the diff that matters, the cost delta, and the criteria for promoting or holding a new model.
Apache Superset + dbt: Caching Strategy
Master Superset + dbt caching: configuration patterns, Redis setup, warm-up strategies, and operational habits for sub-second dashboard load times.
Apache Superset for Embedded Customer Analytics in Retail
Design and operate embedded customer analytics in Superset for retail. Data modelling, dashboard design, and rollout patterns for retail organisations.
Apache Superset + Apache Kafka: A D23.io Reference Architecture
Production Superset + Kafka architecture for real-time analytics. Connection patterns, query performance, caching, operational quirks from D23.io deployments.
Apache Superset for Operational Metrics: A D23.io Implementation Pattern
Build production-grade operational metrics dashboards with Apache Superset. D23.io implementation patterns, data modelling, and sharing strategies for startups and enterprises.
Apache Superset Performance: Async Result Storage
Production guide to Apache Superset async result storage tuning. Real configs, Celery patterns, Redis backends, and operational habits from D23.io.
Superset on Snowflake: Warehouse Sizing and Query Cost
Warehouse size, auto-suspend, and result caching decide both speed and bill. The settings that matter and the ones that only look like they do.
Apache Superset Tag Governance: Patterns from Real Deployments
Deep technical guide to tag governance in production Superset clusters. Code examples, performance benchmarks, and deployment patterns from real-world implementations.
APRA CPS 234 in Australian Financial Services: A Practitioner's Walkthrough
Complete guide to APRA CPS 234 compliance for Australian financial services. Controls, audit timelines, common pitfalls, and practical implementation strategies.
AU Cyber Security Strategy and Enterprise AI Posture
Comprehensive guide to Australian cyber security strategy, enterprise AI posture, controls, audit readiness, and implementation steps for SOC 2 and ISO 27001 compliance.
Choosing a Default Model for Analyst Workflows
Build a repeatable framework for selecting default AI models for analyst workflows. Evaluate cost, speed, accuracy, and governance through 2027.
Cost-Per-Quality Curve: Reading Model Release Pricing
Master the cost-per-quality curve framework for AI model releases. A repeatable guide for engineering teams to evaluate pricing, capability, and ROI between 2025–2027.