I’ve recorded a short video (< 7 minutes) showing how Azure ML, Power BI and Power Map can address the Travelling Salesman Problem.
The Travelling Salesman Problem is firmly routed in academia and is computationally complex to solve with many of the solutions tackling it in complete isolation to the real world, therefore it’s computed based on straight line distance only. Here we’ve utilised actual driving distance, journey time and real world information such as traffic information to provide a slightly more pragmatic result..
The video can be found here, on YouTube.
Pareto Charts in Power BI and the DAX behind them
The Pareto principle, commonly referred to as the 80/20 rule, is a concept of prioritisation.
Apr
Databricks: Cluster Configuration
Databricks, a cloud-based platform for data engineering, offers several tools that can be used to
Apr
AI Assistance in Microsoft Fabric
The exponential growth of Large Language Models (LLMs) couples with Microsoft’s close partnership with OpenAI
Apr
10 reasons why it’s worth the effort to understand the value of your data
“If leaders really want to create a data driven culture, the journey starts with them!
Apr
Content Safety in Azure AI Studio
Azure AI Content Safety is a solution designed to identify harmful content, whether generated by
Apr
Model Benchmarks in Azure AI Studio
In the constantly changing field of artificial intelligence (AI) and machine learning (ML), choosing the
Apr
Celebrating International Women’s Day: from Classroom to Code
As we celebrate International Women’s Day, I want to share my journey of breaking stereotypes
Mar
Pretty Power BI – Adding Pagination to Bar Charts
Good User Experience (UX) design is crucial in enabling stakeholders to maximise the insights that
Feb