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.
First published on LinkedIn.
A few weeks ago, I made the trip down to Content Marketing World, “the largest content marketing event on the planet” with over 2600 delegates representing 50 countries.
I wanted to explore how the activity of content curation—the process of collecting, organizing and displaying information relevant to a particular area of interest—was impacting this massive content marketing industry.
Content curation may be one of the most disruptive forces in marketing, with an impact crater particularly devastating to activities directly and indirectly linked to content creation.
Based on a review of the activities at Content Marketing World and a supporting data analysis of thousands of articles in the media, content marketers appear slow to respond to this change.
The activity of curation is perceived as subordinate to content creation, complementary but not disruptive. Content curation is a new engine of content marketing, but the industry is tightly coupling it to the old activity of content creation.
The response from marketers? “It’s not creation or curation, it’s both!” Yes, it’s both. I would have had a tremendously difficult time making the arguments in this post without creating the content for it.
However, to say it’s both misses the point of a disruptive change and raises your risks of ending up under that crater. Read more »
A comprehensive resource for content marketing covering a wide range of topics of interest to content marketers.
Primal, a content discovery assistant, does most of the grunt work of finding the right information for the specific topics featured on the site.
Read on for a tour of the features of this content curation project. Read more »
Women will benefit from the proactive delivery of personalized health information, using Primal’s proprietary artificial intelligence technology
Toronto, Canada / TNW-ACCESSWIRE / July 9, 2014 / Open Source Health Inc. (CSE:OSH), a cloud based patient engagement system that puts control in the hands of women to Educate, Advocate and Collaborate on their own healthcare, is pleased to announce a strategic partnership with Primal to power discovery of personalized health data, as part of the OSH integrative health platform.
“Conventional search technology is inadequate at providing the personalized information women need to take a pro-active role in their own health,” stated Sonya Satveit, Founder and CEO of Open Source Health Inc. “By using Primal’s patented artificial intelligence technology, a detailed understanding of each woman’s needs is used to proactively deliver the right information at the right time. This accelerates the discovery of new information and the learning experience for every woman.” Read more »
Content curation, the activity of collecting, organizing, and presenting information of interest to a target audience, is an essential component of content marketing.
As in many areas of marketing, aspects of content curation are being automated. Marketers are exploring how smart machines can help improve their productivity and performance. Automated content curation, however, is a young field and it’s difficult to separate the promise from the hype.
At Primal, we’re well aware of the importance of curation, but constraints of time, money, staffing left us unable to pursue sustained campaigns in content curation. As such, we wanted to explore how automated systems could be used to improve our efforts.
In this post, we’ll outline how we incorporated automated content curation into our activities and what we learned about its impact on marketing professionals. Read more »
If you’re like us, RSS feeds are an essential part of your content pipeline. You use these feeds to keep track of the sources you care about, and share the best items with your customers and colleagues.
RSS is often referred to as Really Simple Syndication. The truth is, it’s really not that simple. And the more you use it, the more complicated it gets!
In this post, we unpack the problem with RSS and introduce you to Primal’s powerful yet simple solution. Read more »
You need content that’s tailored to your unique perspective, supporting the topics and sources that make you stand out from the crowd. You need a superstore, not a corner store, and you don’t want to do a lot of work to get it.
Primal’s open interest graph is already the most comprehensive source of Web content targeted to your specific interests.
Today, we’re excited to announce that we’ve made the world’s largest open interest graph much simpler to use!
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. Read more »
Joyce Hostyn argues that Better Human Understanding, Not Big Data, Is the Future of Business. Some excerpts (with my emphasis):
Despite the best of intentions, we’re not data driven, we’re hypothesis driven. Our stories (our mental models) are merely hypotheses of how the world works. But we see them as reality and they influence what data we collect, how we collect it and the meaning we glean from it…
In a quest to become data driven, are marketers trapping themselves with outdated mental models of data and analytics? “Big data is being wasted on marketing. The true power of analytics is in revealing cultural dynamics.”
Hostyn concludes her thoughtful article with a number of questions, including:
At Primal, we’ve invested years exploring this mode of hypothesis-setting as a lens into big data. It involves a collaboration between humans and machines across the full spectrum of analytical and synthetical thinking.
What follows is a summary of that exploration and what we’ve learned to this point.
Call me sentimental, but perhaps some of you, too, are starting to miss the human side of sentiment analysis.
Machine-based statistical analysis is not the entirety of sentiment analysis – or at least it shouldn’t be. There is still an important role for humans to play in that process. In addition there are opportunities for other tools to assist humans in the process, working in complementary ways with statistical-based sentiment analysis tools. Read more »
Developers have long created software that customers use directly. But now, we’re creating solutions that incorporate internal representations of end-users and adapt to individual needs.
In this post, we’re going to introduce you to the most important component in your solution stack, the user model, explain why it’s so important, and show you how to incorporate user modeling into your solution.
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?
Read more »
We’re using Spray for some products here at Primal. Spray is a really neat library, but it’s missing the ability to gather runtime metrics, and while you can instrument your app any way you’d like, we want to do things the Spray way.
Along with our upcoming Agent framework, which implements a pretty cool inter-actor protocol, we have other services that will be hosted in Spray. The guys that figure out whether or not people like our features, and the other guys that figure out how well they’re working, want to know what’s happening, and the guys that code it don’t want that stuff interfering too much with the way that they write their code.
In this post we’ll have a look at how we’re integrating the Coda Hale Metrics library with Spray. Eventually we’ll be making a pull request to the Spray project to integrate this thing for real.
Our surprising conclusion: Marketers and technology buyers are sold on the promise of personalized recommendations. Unfortunately, they don’t know how to tell recommenders apart, even when they’re built on radically different technical approaches. And the results are mixed, at best. End users are left frustrated, wondering when this promise of personalized recommendations will actually be delivered.
In this post, we’re going to show you how to ask the right questions of your technology provider, to make an informed choice based on business considerations, not technical jargon. We’ll highlight some of the common risks and pitfalls, and conclude with a statement of what to expect from your technology provider. Read more »