John de Havilland

I don’t know if you have been following the 2026 World Humanoid Robot Games - an olympics for robots - but it is pretty impressive.

For the last several years, AI advantage has largely been determined by access to infrastructure, training compute, and frontier foundation models.

I asked AI the other day how many calories were in a single sheet of PepperRidge Farm puff pastry.

Microsoft just released the latest Work Trend Index report.

If you haven’t checked out Microsoft’s Vibe Voice then you should.

Skynet from Terminator It’s a story as old as time: AI going rogue, doing things in disastrous ways that we hadn’t thought about, bringing about humanity’s demise.

OpenAI released GPT-Image-2 yesterday and it is impressive.

Hero Apps are evolving.

I was perusing the Deloitte Tech Trends of 2026.

Was looking at some of the new tooling and frameworks around enabling Agents to generate UI.

Imagine if you could run a powerful LLM model locally.

Every 6 months or so, Ben Evans creates a big presentation around tech industry trends.

I came across this article the other day, Chatbots Can Go Into a Delusional Spiral.

Everyone’s talking about AI transforming how we work but how often do we actually use it to think better?

AI is going to fundamentally change the fabric of our society.

AI, Agents, Workflows, LLMs - it all gets a bit confusing in today’s AI landscape around what all these mean.

Model-Context-Protocol, or MCP as it’s more commonly referred to, came about in November 2024 when Anthropic introduced it to the world.

The UK government recently released a report on their cross-department adoption and usage of M365 Copilot with some interesting results.

The amazing leaps and bounds in the past few months with generative AI have changed the landscape for how AI will drive faster efficieny.

I have been exploring a bit around platform engineering.

Thought of the week Don’t make things unnecessarily complex.

Chances are you have never heard of moldable development.

This is part 2 of my series on the metaverse, NFTs and more.

So you may have heard about NFTs in some form or another.

In media broadcasting, with a continued focus on moving production to the cloud, the idea of virtual production control rooms are taking root.

Mary Meeker is a venture capitalist whose work focuses primarily on the internet and new technologies.

When you are working with data, especially larger data sets, you will come across parquet files.

Highly recommended reading - How Artifical Intelligence is Reshaping Repression Some points of note: “Around the world, AI systems are showing their potential for abetting repressive regimes and upending the relationship between citizen and state, thereby…

Interesting article - “Will AI end the Art of Lying?”

I recently passed Exam 70-774 - Performing Cloud Data Science with Azure Machine Learning and thought it may be helpful to provide some guidance on how best to prepare for the exam.

What is a Data Lake?

Blockchain technology is all the rage these days.

In 2015, Microsoft acquired Revolution Analytics.

I have recently started to work on a set of introductory videos focusing on deep learning and neural networks.

Below I have highlighted some of the commonly used, open source, machine learning frameworks you will find in use today.

Sometimes you come across something that just blows you away.

Azure just released a set of updates to Azure Machine Learning.

Azure just released a cool new service call Azure Event Grid.

I wanted to spice up this blog a little bit with some intelligence.

Azure Service Bus does support the Advanced Message Queuing Protocol (AMQP) 1.0 protocol.

If you have not checked out Microsoft’s qnamaker then you should.

I have created a simple, proof of concept bot that leverages the following Azure services: Azure Bot Service Microsoft Cognitive Service – Text Analytics Microsoft Cognitive Services – LUIS Azure Search Azure Functions

You can use Azure SQL Data Warehouse as part of your Azure Data Factory pipeline which is great, but you probably don’t want to have the data warehouse running at the maximum Data Warehouse Units (DWU) all the time, especially if the pipeline is not runni…

Recently a custom visual was released for Power BI that enabled browsing and analyzing collections of text.

Sometimes you have a requirement to get data out of Excel files as part of your data ingestion process.

If you ever have a need to unzip a large number of files that are sitting in Azure Storage then one option is to use Azure Batch.

When you build out a pipeline using Azure Data Factory you will have to associate it to a storage account.