Customizing a Graph Solution

In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult question: what should recommender systems actually optimize for? Drawing on conversations from across the season, the episode explores engagement, filter bubbles, popularity bias, ...  Show more

Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to matrix factorization and modern approaches, ...  Show more

In this conversation, Jillian Forde interviews Dave Bechberger, Principal Graph Architect at AWS, where they talk through the fundamentals of graphs and their applications. This is a wide ranging conversation on graphs from their use cases in generative AI, choosing between Amazo ...  Show more

Graphs, but not as you would expect them: Graph analytics guru Amy Hodler speaks to Jon Krohn about the graph data structure and graph applications, graph algorithms, graph RAG, and graphs as memory systems for AI agents. We can use graphs in a surprising number of ways. Money la ...  Show more

I get a lot of emails asking me to talk about graph databases, so I want to start researching them, but I wanted to give you guys the framework of how I think about any databases to defuse any “magic” that might be there.

In this video, I discuss what constrains a datab ...

Today Corey talks with Pranav Maheshwari from The Graph, an indexing protocol for querying networks like Ethereum and IPFS. We'll dive deep into how The Graph works, what it aims to solve, what complications it has faced as it has scaled out to its current state, and where it exp ...  Show more