5 Traits of a Winning Data Strategy for Business Success

A winning data strategy combines strong governance, reliable quality, and scalable architecture to drive measurable outcomes. With AWS and Cevo’s Data Strategy Diagnostic, organisations can build the foundation for AI-driven innovation and long-term growth.

AWS Glue Studio Guide: No-Code PII Redaction in CSV Files

CSV files are simple, flexible, and everywhere but they’re also one of the easiest ways for sensitive customer data to leak. In this guide, we show you how to use AWS Glue Studio’s no-code, ML-powered transforms to automatically detect and redact PII in CSV files. With step-by-step instructions, you’ll learn how to protect data at ingestion, ensure compliance, and build pipelines that keep analytics both powerful and privacy-first.

AI Agent Evaluation Techniques: Step 1 in AI Excellence

Evaluating AI agents is the critical first step in achieving AI excellence. This blog explores modern frameworks and benchmarks that assess agents’ core capabilities, domain-specific performance, generalist reasoning, and evaluation methodologies, ensuring AI systems are reliable, adaptable, and ready to deliver real business value.

Data Strategy Diagnostic: Building a Robust Data Strategy on AWS

Data is everywhere but without a clear strategy, it can hold your business back instead of moving it forward. In this blog, we share how the AWS Data Strategy Diagnostic helps organisations assess their data maturity, uncover gaps, and build a practical roadmap to turn data into real business value.

Advanced Prompt Engineering for AWS

Advanced prompt engineering for AWS goes beyond basic prompts. By using techniques like chain-of-thought reasoning, few-shot learning, and iterative refinement, you can guide AI to deliver smarter, context-aware solutions that actually work within real-world project constraints. In this post, I share the methods I use on client projects to turn AI into a true consulting partner.

Unit testing JSONata in AWS Step Functions: Breaking Free from Step Function Testing Constraints

Unit testing JSONata in AWS Step Functions doesn’t have to be painful. By separating JSONata templates into their own files, introducing a simple template manager, and running fast local unit tests, you can validate transformations in milliseconds, without deploying to AWS. This framework makes debugging easier, feedback loops faster, and Step Functions more maintainable.

Prompt Engineering for AWS: Why I Started Having Real Conversations with AI

Prompt engineering for AWS has transformed the way I work in cloud consulting. By learning to give AI tools like Amazon Q and Amazon Bedrock the right context, constraints, and roles, I’ve gone from getting generic answers to receiving tailored, cost-saving solutions. In this post, I share the practical techniques that turn AI into a true partner for solving complex AWS challenges.

Agentic AI for your enterprise: Cutting through the hype

Agentic AI is full of promise but also full of hype. In this blog, I cut through the noise to explore how enterprises can pragmatically adopt Agentic AI, starting with strong data foundations, human-in-the-loop workflows, and a responsible approach to governance. From the “Iron Man Suit” philosophy to avoiding shadow AI, this is a roadmap to real, sustainable impact, not science fiction.

The hidden cost of underinvesting in Infrastructure as Code maintenance

Many teams treat Infrastructure as Code maintenance as a “nice to have” until outdated tools bring productivity to a standstill. This blog explores the hidden costs of standing still, why small, continuous updates matter, and how smarter maintenance leads to real cost optimisation and long-term resilience.

How PII redaction in the cloud prevents data breaches

As data breaches surge across Australia, protecting Personally Identifiable Information (PII) has never been more urgent. In this practical guide, I share why PII redaction in the cloud is essential for both compliance and resilience and how AWS-native tools can help you detect, redact, and govern sensitive data at scale. Whether you’re just starting out or refining an existing approach, this article offers real-world strategies to reduce breach impact and build customer trust.