Startup Quander aims to help brands "deliver a memorable, measurable, multi-sensory brand experience". It uses interactive technology to enhance the customer experience, while capturing the data that ...

Twenty years ago, my development team built a natural language processing engine that scanned employment, auto, and real estate advertisements for searchable categories. I knew that we had a difficult ...

Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has been a ...

How many tennis balls could you fit in all of the skyscrapers in New York City? How many gummy bears could you fit in an airplane? How long would it take to fill the Mariana Trench with peanut butter?

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The graph database stands as one of the ...

The design of a database determines what method is best suited for backing it up, and those methods vary quite a bit. In order to back up a database, you need to know how it’s delivered, but you also ...

Regardless of industry, businesses today collect scores of data from their customers. While this data can be acquired both intentionally and unintentionally, knowing what to do with that information ...

For as long as humanity has conducted business, we’ve used data to make better decisions. Farmers observed which crops flourished in which seasons and planted accordingly. Vendors saw which products ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

One: Get police departments across the country to report when their officers use lethal force or seriously injure someone. Two: Collect that data in a national database. Three: Release those ...