Generative AI is becoming a staple in the modern workplace – but something’s not clicking. Despite the rollout of training programs and hands-on tools, it seems that some organisations still struggle to see meaningful impact. Why? Because knowing how to use GenAI isn’t the same as knowing how to work with it. I have been delivering training on GenAI for over a year now and the feature that stands out in the true adopters has been the Exploratory Mindset – it’s the mindset that really makes the difference.
Tag: #FutureOfWork
The Ground Keeps Shifting: Why GenAI Feels So Unsettling Right Now
If you’ve been using GenAI tools like Microsoft Copilot or ChatGPT in your day-to-day work, you’ve probably had this experience: something that used to work, like a prompt you carefully refined, is suddenly behaving differently. Maybe it’s not as helpful. Maybe it’s giving unexpected results (that’s what happened to me this week). Maybe it just… stopped working entirely.
Stay Focused: You’re Solving a Business Problem, Not Chasing the Next AI Trend
Being immersed in the world of AI can feel like being caught in a whirlwind, every week brings a new model, a fresh feature, or a must-try tool and the pace is not slowing down – it’s easy to get swept up in it all. That’s why I always value conversations with businesses that bring things back to what really matters, solving real problems. GenAI isn’t just the latest shiny object, it’s a powerful tool to unlock capacity and drive real value, when focused on a business problem.
Canada’s AI Legislative Landscape: Navigating the Future.
As artificial intelligence continues to reshape industries globally, Canada finds itself at a critical point in AI regulation. With the recent appointment of Evan Solomon as Canada’s first-ever Minister of Artificial Intelligence and Digital Innovation, we are seem to be charting a new course that prioritises economic growth while maintaining responsible oversight. Where does this leave organisations that are eager for clarity and direction in an increasingly complex global and asymmetrical regulatory environment?
GenAI’s Hidden Risk: Doing the Same Work Faster and Falling Behind – Move from the To-Do list to the Should-do list.
I’ve seen it in so many organisations, that growing pile of Should-Do projects gathering dust while teams scramble through endless To-Do lists under the pressure of everyday work. The story is always the same: “We’d love to explore that new product”, “We should really improve our staff on-boarding”, “We could really improve our end-user experience if only we …..”. The constraint? Never enough time, budget, or human intellectual capital.
Generative AI is about to hand you back some of that capacity (and capability) – what you do with it will determine whether you’re leading your market in the future or wondering what happened to your competitive edge.
GenAI Data Analysis: Google Colab’s Gemini vs. Excel Copilot — Which One Should You Use for Conversational Data Analytics?
AI assistants are now integrated into the data tools you use daily, helping to reveal the stories and patterns in your data with natural language commands. Two of the tools I have been working with lately are Google’s ‘Analyse with Gemini’ in their Colab Notebooks and Microsoft’s Copilot in Excel with it’s ‘Advanced Analysis’ prompt. These tools, while on the surface appear similar, do have differences that make them suitable for different types of users.
Why Deep Research AI Models Are the New Power Tool for Business Professionals
I wrote about Deep research models back in February and since then I have been actively integrating them into my business processes (both ChatGPT and Gemini version) and I thought the subject was worth revisiting in more depth. For me they have made a huge difference in everything from developing strategic plans to pre-meeting research.
Existing Skills, New Frontier: How Ops Pros Will Thrive in the Age of AI
The headlines are buzzing with Machine Learning (ML) and Generative AI (GenAI), and it’s easy to think you need a whole new toolkit to stay relevant. While these technologies are transformative, the good news is that many of your existing skills in technology operations are not just relevant, they’re crucial. The game is changing, but the foundations you’ve built are more important than ever. Let’s explore how.
Fine-Tuning for the Rest of Us (sort of): How Microsoft Copilot Studio Just Made AI Customisation a Whole Lot Easier
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.
Is Your Data ‘Good Enough’ for Generative AI decision making? Spoiler: It Might Be!
Generative AI (GenAI) is promising to reshape how we work and innovate. Yet, many organisations hesitate, wondering, “Is our data perfect enough?” However, perfection often isn’t the prerequisite you think it is.