Microsoft’s recent Build 2025 announcements have brought some massive updates to the whole GenAI Copilot platform. One of the most exciting features for me (and perhaps a revealing feature in terms of Microsoft’s GenAI strategy) is the introduction of Microsoft 365 Copilot Tuning. This new feature is set to revolutionise how organisations tailor AI to their specific needs, moving powerful model fine-tuning capabilities from the often complex of data scientists and technical staff to the more accessible world of business power users.
Category: Enterprise AI
Unlocking the Power of Generative AI: Why Your Organisation Needs a Maturity and Readiness Assessment
Generative AI (GenAI) is revolutionising industries by automating content creation, enhancing decision-making, and sparking innovation. But before jumping in, it’s essential to pause and do the groundwork. In today’s fast-moving, hype-driven tech landscape, that can feel a bit old-school, but understanding your organisation’s readiness isn’t just prudent, it’s foundational. A GenAI Maturity and Readiness Assessment is a crucial step to ensure that the excitement of innovation is backed by the stability of preparation.
Problems with Business Continuity Planning? GenAI can help…
Business Continuity (BC) planning is all about staying resilient when things go sideways. But in an age of continuous change and increasingly complex systems, traditional planning approaches can fall short. That’s where Generative AI (GenAI) can help – not as a replacement, but as an intelligent partner helping us think faster, deeper, and more creatively.
Why You Need a Portfolio of GenAI Projects (With Business Cases to Match!)
Generative AI (GenAI) has the ability to transform industries, unlock efficiencies, and drive innovation – no doubt. Are organisations struggling to move beyond scattered experiments or uncoordinated deployments? The key is to treat GenAI projects like any other strategic investment – by building a portfolio and backing each initiative with a solid business case, while appreciating the difference that GenAI brings and the rapid evolution of the GenAI market.
Unlocking Business Potential with Deep Research Models
In today’s business environment, staying ahead requires not only quick decision-making but also access to comprehensive, reliable information. GenAI Deep Research Models can help – they are AI driven tools designed to transform how businesses conduct in-depth research and analysis.
The Rise of Shadow GenAI and the Risk of Technical Debt
I have written previously about technical debt and GenAI choices and when you add on Shadow GenAI the situation becomes even more complex. The accessibility of Generative AI (GenAI) tools means that everyone can innovate like never before. However, this surge in un-monitored GenAI usage, often referred to as “Shadow AI”, combined with GenAI only now starting to come down from the ‘Peak of Inflated Expectations’ can lead to significant challenges, including the accumulation of technical debt within organisations.
Generative AI and Enterprise Architecture: The GenAI Impact
In preparing last weeks article I came across a series of blog posts from Ardoq (thanks to Ed Granger) that deserves more attention (catch it here). There are quite a few posts (maybe too many) on how GenAI and Agentic AI can be used in organisations but not much on how we conceptualise and plan for this from a Enterprise Architecture (EA) perspective. Ardoq’s insightful blog series delves into GenAI’s impact on EA and more – it’s really worth a read.
The Blueprint for GenAI Success: Why GenAI Architecture Frameworks and Design Patterns Matter
While mulling over what seemed to be a lack of GenAI frameworks and design patterns last week, this post from Debmalya Biswas dropped into my feed on A Comprehensive Guide to Agentic AI. This post and the accompanying slides are more than the title suggests – they are a great start on a set design patterns and reference architectures – something that we seem to be sorely missing.
It’s all about the interface: How Natural Language Interfaces are Redefining the Way We Work
Mulling over why systems like ChatGPT, Perplexity, Gamma, Gemini, Claude etc. are so successful – it’s all about the interface. It isn’t just about their perceived intelligence – it’s about how they interact with us – it’s about the interface; the natural language interface . It’s a shift in how humans and machines collaborate. What does this mean as an approach to business.
Navigating AI Adoption on Azure: A Practical Framework to Get Started
I couldn’t believe the timing this week. As I’m working through the course material for the Microsoft AI Engineer exam a post dropped from Rajani Janaki Ram with a Framework on Adopting AI on Azure – brilliant! I thought I’d review the framework this week and what it means.