The question of AI adoption often feels like a modern version of an age-old dilemma: what comes first, the cart or the horse? I was speaking with a client recently who was keen to adopt AI to improve organisational efficiency. As part of a proof of concept (POC), I carried out an operational analysis and… Read more: AI Adoption: What Comes First – The Cart or the Horse?

Across the NHS, interoperability is no longer a theoretical ambition. It is a practical requirement for improving patient flow, reducing operational friction and supporting elective recovery. FHIR (Fast Healthcare Interoperability Resources) has become a key part of this journey, providing a consistent way for systems to exchange structured healthcare data. However, while FHIR enables systems… Read more: FHIR, Referrals and the Role of AI Document Processing in NHS Pathways

As AI agents become central to how organisations automate tasks, assist employees, and streamline processes, one challenge consistently slows teams down: testing how an agent actually behaves in a real user interface.  Until recently, early-stage agents lived in prototypes, isolated sandboxes, or technical testing environments. That meant product teams were making critical design decisions such as interaction flows,… Read more: Publishing Agents from Microsoft Foundry to Microsoft 365 Transforms AI Design 

How Regulated Industries Are Unlocking the Power of Unstructured Information Every regulated industry from financial services and insurance to healthcare, legal, energy, and the wider public sector, shares a common problem: Critical information is trapped inside documents that were never designed for automation. Contracts, claims, invoices, clinical letters, audit reports, case files, regulatory submissions, customer… Read more: Data Extraction with AI

Driving Digital Transformation in UK Healthcare  We are thrilled to announce the official launch of Connectbatch’s AI Document Solution for UK Healthcare, now available on the Microsoft Marketplace! This marks a significant step forward in our mission to simplify and accelerate document workflows across the healthcare sector.  Healthcare organisations face increasing pressure to manage vast amounts of documentation… Read more: Connectbatch Launches AI Document Solution for UK Healthcare on Microsoft Marketplace 

As we enter 2026, Artificial Intelligence (AI) continues to expand in workplaces and processes. It’s a core driver of business transformation.   From predictive analytics to generative AI, organisations are leveraging AI to unlock efficiencies and deliver personalised experiences. But with this rapid adoption comes a critical question: How do we innovate responsibly while safeguarding data and maintaining compliance?  The answer lies in robust data governance. Without it, AI can… Read more: Data Governance for AI Applications: How Microsoft Solutions Enable Secure Innovation 

Artificial Intelligence is transforming the way we write code and GitHub Copilot is at the forefront of this change. Acting as an AI-powered pair programmer, Copilot is no longer just a novelty. It’s becoming an essential tool for developers seeking efficiency and innovation.  Traditional pair programming involves two developers working together to solve problems and… Read more: Github Copilot – a Developer’s assistant

Tools, Techniques, and Best Practices  In the era of Artificial Intelligence (AI) and Machine Learning (ML), data has become the lifeblood of innovation. Yet, the quality of that data determines whether your AI initiatives soar or stumble. This is where data profiling comes in : a foundational step that ensures your datasets are accurate, consistent,… Read more: Data Profiling for AI Success

Hallucinations occur when a language model generates content that sounds plausible but is factually incorrect or entirely made up. These errors often stem from the model’s design: most large language models (LLMs) are generalists, trained on vast datasets to handle a wide range of tasks rather than specialising in one domain.

Recent outages from major cloud providers like AWS and Azure have made headlines, exposing critical vulnerabilities in cloud architecture. These disruptions have caused significant operational challenges for businesses, prompting many to reassess their cloud strategies and explore alternative infrastructure models…Read more in my latest post #AI #Cloud #Onpremise #datastorage #MachineLearning

I am addressing data types in today’s issue. Occasionally, we hear suggestions that there is no such thing as unstructured data. Proponents argue that all data has structure. “It only depends on how you view the data” . Perhaps! Perhaps we do not have tools for all types of data. Perhaps the structure of data… Read more: Navigating Structured vs Unstructured Data for AI Applications

To assess and decide on applicable governance to Generative AI, organisations must first understand what AI model is available to them. They also need to determine how it will be used. Most organisations are looking to leverage LLMs(Large language models) to implement AI. Some organisations may also wish to develop their own bespoke models which… Read more: Effective Governance for Generative AI Adoption vol 2

Addressing common challenges of Generative AI; Generative AI like gpt , Gemini is widely used. AI continues to be incorporated with readily available tools suitable for everyday tasks. GenAI does have some issues now which lead to user frustration. Some of the frustrating things which users face with GenAI use include; The highlighted issues can… Read more: Effective Governance for Generative AI Adoption vol 1

AI – Artificial Intelligence has many controversial definitions. This can make it tricky for organisations to understand how AI fits into their processes. In a broad sense Artificial Intelligence is research into how machines can carry out human actions autonomously. Is this possible? I don’t entirely believe so but that is why AI is research.… Read more: Understanding AI: Using vs Doing

Data Perception is essential to understand and correctly define your organisational data. Data context is business user perception of its various business processes. Business areas often combine data from different business processes like Sales, Customer registrations, Budget and Procurement. These processes need to be organised to present a unified output. When organising data, each business… Read more: Data Context is your Data perception