Posts Tagged ‘assistants’

The History of the Semantic Web is the Future of Intelligent Assistants

Friday, August 19th, 2016

The Semantic Web provides an enticing vision of our online future. This next-generation Web will enable intelligent computer assistants to work autonomously on our behalf: scheduling our appointments, doing our shopping, finding the information we need, and connecting us with like-minded individuals.

Unfortunately, the Semantic Web is also a vision that, to some, seems very distant, perhaps even outdated. It has been over a decade since it was popularized in a May 2001 article in Scientific American. Semantic Web researchers and engineers have been toiling even longer on the monumental technical and sociological challenges inherent in creating a global Semantic Web.

The good news is that we are seeing evidence today of its accelerating emergence.

Read the full post on Medium

Goodbye .@, Hello Messaging?

Tuesday, May 31st, 2016

A single-character change in how tweets are distributed highlights a massive strategic decision for Twitter.

When I first started using Twitter, I’d start my tweets with the names of other users. I wanted to give them credit for their ideas. I later discovered very few people even saw my tweets because of how they were composed. It was frustrating (and a little embarrassing) to learn I didn’t know how to use the service.

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

A Visual History of The Next Big Thing (and how to see The Next One coming)

Saturday, December 14th, 2013

First published on Medium.com.

In business, vision isn’t some mythical ability to see the future. It’s about being able to recognize a pattern and apply it to something new, before others see it coming.

In this post, we’ll introduce you to one such pattern, the gestation of new media within old media. We’ll then review some examples of how the pattern has repeated itself over the past 30-years, from one Big Thing to the Next.

We’ll then apply the pattern in the here-and-now, to see how it points to The Next Big Things. (more…)

Confessions of a Twitter Bot

Wednesday, July 24th, 2013
Twitter-Bot-2
Source Talking Politics

Bots have a bad reputation. Whether they’re sinister botnets, carrying out coordinated attacks, or annoying spambots, polluting our digital universe with crappy auto-generated content, bots are a much maligned bunch.

You might ask, if bots are bad and a huge portion of Twitter activity is already generated by bots, Why is Primal creating another one?

We believe that intelligent, well-intentioned bots can add a lot of value.

If we build a bot that truly understands you as an individual and can do useful work on your behalf, it might be a welcome addition to the social scene.

In this post, we’ll share some observations and insights into the question, Can a Twitter bot do good?
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Content Assistants for Messaging and Social Media

Wednesday, June 26th, 2013

Small conversational data such as tweets or text messages are a goldmine of individual interests. Millions of people everyday tweet about their favourite food, send a Kik or Facebook message about a recent TV episode, or take a photo on Instagram while attending a sporting event or concert.

However if you’re trying to recommend content or promote offers within a conversation, the ability to determine a user’s interests from these small data inputs is a huge challenge.

John Koestier in Venture Beat writes:

…tweets are difficult to register commercial intent…

If I tweet about my wife’s illness, are you going to target me with a random medicine? Or if you tweet about a great dinner you’re just about to eat, will you really be receptive to ads about a Greek restaurant just down the road?

In this post, we’ll show you an elegant solution for content recommendations, applied in messaging and social media platforms.
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