We live in a connected world where decisions and predictions about how best to operate need to take multiple factors and relationships into account. While much is being made of traditional AI and ML approaches, Graph Data Science is shaping up to become a greater key contributor to the toolbox of being able to explore and unlock more insights and accurate predictions for highly complex cases. There have also been a number of innovations over the last decade or so, and more so recently, which continues to further push new boundaries. This is what our panel will look to dive into and explore.
This blog is written exclusively by the OpenCredo team. We do not accept external contributions.