I recently had a conversation with a peer who was genuinely worried that we’re all going to lose our jobs to AI. I get where the fear comes from. Every major shift in software has triggered the same concern. We heard it during the rise of the web, the move to cloud, and the spread […]
Every year, companies make predictions about what will change in technology. Most are half right and half hype. But heading into 2026 already feels different, and not just because of shiny new tools or bigger clouds. It feels different because the way teams build software is changing at a deeper level. Over the last year, […]
Advanced AI and Machine Learning Applications in Healthcare: Unlocking New Possibilities Artificial Intelligence (AI) and Machine Learning (ML) are transforming healthcare by improving patient care, streamlining operations, and enhancing diagnostic accuracy. As data availability grows and computational power advances, AI-driven tools are becoming increasingly practical for hospitals, clinics, and research organizations seeking measurable improvements in […]
The adoption of artificial intelligence in businesses is still at an infancy stage although it is growing notably fast. In 2020, Gartner reported that in that there are companies where AI-related products account for more than 20% of earnings before interest and tax. Still, less than 20% of all companies worldwide can claim to have […]
Managers often struggle to visualize the relationship between data science, analytics, and their business’s bottom line. However, data scientists will argue that there limitless ways to leverage analytics in business. The US spends the equivalent of 18% of its GDP on healthcare. If the US can find a way to increase efficiency and save 1% of […]
Throughout my career, there have been countless times my Data Science work has been referred to as magic. I have even had colleagues that refer to parts of their own Data Science projects as magic. I am always quick to try and correct this behavior, because as Data Science professionals, we don’t work in a […]
