Archive for the ‘Featured’ Category

The Social Graph Must Die

Wednesday, May 3rd, 2017

Have we reached the breaking point? Has our collective exhaustion with social media — the incessant notifications, the oppressive filter bubbles, the outright denial of our individuality — finally exhausted the excuses, apologies, and band-aid fixes?

Here’s the #ElephantInTheRoom: The social graph is a terrible basis for matching people to information. This is probably not a message that will be welcomed by the corporate giants and countless ventures that are banking on the social graph, but it’s an argument that’s long overdue. The social graph must die.

To be clear, the social graph is not social media. The former is the model or representation of the relationships between people. It’s the foundation upon which social media services match people to information. And in this capacity, the social graph is irredeemable.

Read the full post on Medium

The Surprising Potential of a De-Smooshed Twitter

Tuesday, January 19th, 2016

A unique real-world experiment, powered by an AI, that highlights the rewards and challenges of treating people on Twitter like individuals.

Read the full report on Primal for Twitter, a personal intelligent assistant for content discovery.

The Surprising Potential of a De-Smooshed Twitter

How Primal’s artificial intelligence creates meaningful interests data

Tuesday, July 3rd, 2012

The most frequently asked question about Primal is, Where do you get the interests data? It’s a fair question. If Primal is the most comprehensive source of open interests data in the world, it begs the question of where we get this valuable data. (1)

Unlike our competitors, we don’t ingest and analyze vast amounts of historical consumer data to derive interests data. Instead, Primal creates this data on a just-in-time basis, with each and every request.

The reason Primal seems to have data about every conceivable topic of interest is that Primal is literally creating the data on-the-fly. (more…)

Where Big Data Fails…and Why

Friday, October 14th, 2011

Data-driven technologies are plagued with small data problems. Their performance suffers in markets that aggregate a large number of unique interests. Some of the largest markets share these small data characteristics, including local ecommerce, personalized media, and interest networking. New approaches are needed that are far less sensitive to the cost and complexity of the data.

Read the full post on Medium