Fuelling Curiosity, Igniting Expertise
Discover how AI meeting assistants can streamline your meetings while keeping sensitive company data secure. Learn about the potential risks and practical strategies for using these tools safely in organisations where confidentiality is critical.
For leaders, AI won't replace you—but a competitor who leverages AI effectively might.
This is my personal blog. I am busy gathering and organising all my content from my other websites for a better, more unified experience. I also write on topics that are currently top of mind, whether as a result of projects I am directly involved in or something that I feel relatively strongly about as a consultant.
This cleanup should not take too long. In the meantime feel free to browse around! As soon as I have finished organising the archives, I have some exciting announcements – so please visit again!
Discover how AI meeting assistants can streamline your meetings while keeping sensitive company data secure. Learn about the potential risks and practical strategies for using these tools safely in organisations where confidentiality is critical.
With the right marketing strategies, you can guide potential clients from awareness to advocacy. It’s about understanding the customer journey, a complex path that a potential client takes from the first moment they hear about your product to the point they decide to make a purchase.
While Google Analytics is a powerful tool, it only provides a snapshot of your digital marketing landscape. To create a truly effective marketing strategy, business leaders and product managers need to look beyond clicks and traffic.
Edge AI holds many benefits for industrial applications. However, the complexity of deploying these technologies can be high, especially when considering hardware standardisation, software architecture, model development, training and deployment, organisational factors, and finally maintaining the models.
As the hype around AI intensifies, the number of “experts” is increasing exponentially. In contrast, the number of engineers who actually know how to implement AI technology remains small.
Is it feasible to train your own LLM on your unique data to create a personalised version of “ChatGPT”?
Managing legacy software in the manufacturing sector is a complex challenge that demands a strategic approach. Whether through ringfencing, upgrading, replacing, or a combination of these strategies, companies must assess their specific circumstances and develop a plan that aligns with their long-term goals.
Over the years, I’ve written several articles on IT in manufacturing. Reflecting on these as we start 2024, I realise that most revolve around applying technology to real-world challenges in plants and mines.
In this article, we explore two key dimensions that IT managers must navigate to ensure they are adding value:
(1) getting the basics right and
(2) aligning with the business strategy.