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Transforming Purchase Order Processing with AI-Powered Document Intelligence for Reece Group
Services provided Cloud Engineering. Serverless Architecture. Intelligent Document Processingusing Artificial Intelligence. Platforms used AWS (Amazon Bedrock, Amazon Textract, AWS Lambda, Amazon SQS, Amazon S3,Amazon DynamoDB, Amazon SES, Amazon CloudWatch, AWS CDK)...
Enabling an Entertainment & Leisure Company to Operationalise Machine Learning at Scale
Services provided Artificial Intelligence Machine Learning MLOps Cloud Engineering Platforms used AWS (Amazon SageMaker Pipelines, SageMaker Model Registry,SageMaker Endpoints, SageMaker Batch Transform, AWS Service Catalog, Amazon S3) Engagement length 8 weeks Other...
How a National Retailer Modernised Fulfilment Decisions with AI
Services provided Artificial Intelligence Data & Analytics Cloud Architecture Supply Chain Optimisation Platforms used AWS (Amazon Bedrock, AWS Step Functions,AWS Lambda, Amazon ECS Fargate, AWS Batch,Amazon S3, Aurora PostgreSQL, Amazon API Gateway, AWS WAF, AWS...
Return on Artificial Intelligence Series
Foundations for Success
The most dangerous moment in an enterprise AI programme may be the successful demonstration. It creates certainty at precisely the point where the hardest questions remain unanswered. What decision will change? What happens when market conditions shift, source data is...
AI and the Retail Sector
Retail has one of the largest AI value opportunities of any consumer facing industry, yet too few retailers have moved beyond isolated use cases. The paradox is clear. The addressable value is large. Many retailers are already seeing benefits in specific areas. But...
AI and the Financial Services Sector
Financial services organisations are increasing AI investment, but enterprise return remains uneven. That is the tension now facing boards and executive teams. The question is not whether AI can create value. The evidence is already clear across fraud, financial...
Latest News
From scattered evidence to structured answers: the context war begins
A simple question with a complicated answer Imagine a supplier tells you that a shipment will be delayed by three weeks. Your first question is straightforward: Which customer commitments could this affect? Answering it may take more work than expected. The...
Iceberg in Production: What Three Industries Taught us
A few weeks ago we published an article on why Apache Iceberg matters - the strategic case for open table formats in an agentic future. This one is about what happens when you actually build on it. Over the past year, Codex has designed and delivered Iceberg-based...
Iceberg Tables: The AI-Chemist for an Agentic Future
Ever since the explosion of data warehouses, enterprises have grappled with the same question: Where should we store our data? Historically, data warehouses brought governance through development and access controls, data modelling, and structured reporting for...
40 Years in IT Series
The Arrival of the PC Would Irrevocably Change IT Forever
Working in a Computer Centre that was constrained by financial capital but had oodles of computing human capital, the arrival of the PC represented the dawn of an era of unparalleled innovation and development. We were a tiny shop, taking advantage of this new...
Making a Start, Learning How to Learn in the Real World
I was lucky enough to commence my career in a commercial team supporting an academic institute, perhaps the ideal environment as innovation and experimentation were supported while commercial reality was maintained. Introduced by my friend Rod Tasker, I started my...
Starting a Career in Information Technology and Adapting to Continual Change
Having enjoyed 40 years in the Information Technology industry as a Systems Programmer, Analyst Programmer, Software Architect, Systems Architect, Enterprise Architect, Program Manager and Senior People Leader, I have always thought of myself as a Software Engineer. I...
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