Systems | Development | Analytics | API | Testing

There's been a lot of discussion around the proliferation of data sources in organizations, and for good reason. There are so many ways to consume data now. When I first started working we would send out paper reports. Then Excel came along and we started sending out spreadsheets. Then organizations tried to control things a bit more, so dashboards were created. While there are more new channels to receive data, none of the older ones have become obsolete.

AI and its enabled tools continue to enthrall business with its promise of efficiency and innovation. But, one of the things AI is also clearly enabling is the bias. We’ve all read the news and heard the scaremongering stories around potential flaws and biases in Artificial Intelligence systems. I believe for this technology to reach its full potential, addressing bias will need to be a top priority.

One of the things I'm really passionate about is data and how it can be used to influence decision-making. But everyone has their own personal biases and opinions that they use to create a narrative and this can affect how they look at data. So even when the data tells us one thing, we may see something completely different.