This site is not optimized for Internet Explorer 9 and lower. Please choose another browser or upgrade your existing browser in order get the best experience of this website.

How to Build and Manage Your Own Enterprise Knowledge Graph

It’s no secret that the most successful organizations today are using enterprise knowledge graphs to achieve long-term success – whether that’s advancing a particular mission, growing the bottom line, or both. Enterprise knowledge graphs break down silos, disperse tribal knowledge, and increase collaboration. They’re also the key to retaining institutional expertise long after key employees Read the full article…

How Fuze Replication Keeps Your Graph Database Running (No Matter What)

Some systems just can’t be taken offline. Whether your enterprise organization is in finance, government, defense, or just around-the-clock ecommerce, some backend architectures are too mission-critical to be down for maintenance – or worse, because something breaks. In these cases, always on isn’t just an aspiration, but a requirement. And yet, database maintenance, upgrades, and Read the full article…

Why Robust Change Data Capture Is Essential for Knowledge Graphs

Your enterprise knowledge graph is your view of the world. It supplies all of the who, what, when, where, and why details that your organization needs for day-to-day operations and decision-making. Equally, if not more, important is that your knowledge graph is the world for your artificial intelligence. Your AI solution only knows and understands Read the full article…

Text is nothing more than unstructured data. When you consider how much textual data your enterprise organization has – or has access to – it’s no surprise that 90% of your data isn’t analyzed. Traditional analytics can only analyze structured data. But no matter how much information your organization has stored in tables, rows, and Read the full article…

Like all other categories of capital investment — machinery, plants, patented technology, unique processes — we should be investing in data to produce an asset with an expected return. But this isn’t how it works much of the time. Instead, companies invest to connect disparate systems. The “return” comes in the form of a data Read the full article…