Customizing Large Language Models for your Gen AI use case
When building a Gen AI tool it’s important to understand how it works so that you know where to focus your development efforts. Large...
How to Engage with Generative AI
Gen AI seems to be everywhere these days but when it comes down to it, very few organizations really understand what to do with it...
4 things to consider when developing your data strategy
Organizations often struggle when coming up with their data strategy. In the end we need to be practical about what we can actually do...
Analytics doesn't need to be dramatic to be valuable
Data Science? With a term like data science we may be guilty of unconsciously setting unrealistically high expectations. In the common...
Data Entry Team not Users
Error between keyboard and screen A big source of poor data quality is data entry. A stubborn issue that is hard to address. Why is...
Use a Marketing Lens to Develop Your Data Strategy
Data Science is not IT A common mistake that organizations make when mapping out their data strategy is conflating data with the systems...
Roll out reporting with data confidence
Photo by Choong Deng Xiang on Unsplash When you are leading a data team that is putting in place a new analytics or reporting system you...
Vendor projects don't have to fail
Large organizations regularly have a need to implement major IT projects and often turn to external vendors for specialized expertise or add
"No code" apps and data effectiveness
Data is the lifeblood of organizations today. But the quality of the data we collect is often wanting. While it's a good start to collect...
The worst question to ask as a technologist
"What do you want?" When I hear that being asked at the start of an IT engagement it sends shudders down my spine. I have been on both...
