Real-Time Analytics

If you’ve been watching the graph database space, you probably know TigerGraph. It’s one of the latest entries, coming out of stealth in September 2017. TigerGraph has managed to get attention in a number of ways: its massively parallel architecture, the benchmarks it has released, the names...

Prelude In December, I wrote a Quora post on the pros and cons of graph databases. I shared two cons pervasive in the market today: the difficulty of finding proficient graph developers, and how non-standardization on a graph query language is slowing down enterprise adoption, especially...

Graph features generated in real-time by TigerGraph are being used for a host of use cases beyond identifying phone-based scams. These include training Machine Learning to detect various other types of anomalous behavior, including credit card-related fraud — which affects all merchants selling products or...

You know a technology has reached a tipping point when your kids ask about it. This happened recently when my eighth grade daughter asked, “What is Machine Learning and why is it so important?”. Answering her question, I explained how Machine Learning is part of AI,...