LTI Student’s System Tops International Field in Live Question-Answering

A Carnegie Mellon system designed to rapidly answer questions — even some seemingly off the wall — posed to the Yahoo! Answers website received the highest score by far in the LiveQA evaluation track at the Text Retrieval Conference (TREC 2015).

“This is the question answering that really matters to people,” said LTI Professor Eric Nyberg, who heads the Open Advancement of Question Answering (OAQA) group. “These are real questions by real users answered in real-time.”

Read the full article.

Algorithms Need Managers, Too


Most managers’ jobs involve making predictions. When HR specialists decide whom to hire, they’re predicting who will be most effective. When marketers choose which distribution channels to use, they’re predicting where a product will sell best. When VCs determine whether to fund a start-up, they’re predicting whether it will succeed. To make these and myriad other business predictions, companies today are turning more and more to computer algorithms, which perform step-by-step analytical operations at incredible speed and scale.

Read the full article.

Startup hopes to push shopping offers to you while you’re driving by store

Repeat entrepreneur Sanjay Chopra and Eric Nyberg, professor at Carnegie Mellon University’s School of Computer Science, have teamed on an ecommerce startup that will use mobile data to create personalized shopping offers.

Cognistx, which is based in Gibsonia, launched in July and expects to debut its first product in early fall. Via language processing and data manipulation, the young mobile marketing firm enables retailers to offer personalized offers to customers, Chopra said. That includes their history with the retailer and to-the-minute information such as their location. Nyberg had consulted with IBM on the Watson project, the supercomputer that won on “Jeopardy!” four years ago. Chopra, previously CEO of local tech firm OnlineChoice, was working in business development for IBM at the time.

Excerpted from the Pittsburgh Business Times. Read the full article here.

Forbes: The Future of Super-Smart Retailing

by Karen Barnes | partner + svp, strategy

Our ability to deliver truly personForbes_Logoalized mobile marketing continues to attract attention – this time from Forbes magazine in an article titled “Super Smart Retail, Coming Soon To A Device Near You.” Author Roger Dooley compares Cognistx’s learning algorithms to Amazon’s non-learning algorithms – which continue to offer him irrelevant content and product recommendations.

He also taps into concerns about “creepy” marketing – remember when Target knew teenaged customers were pregnant before their parents did? Fortunately, our 100% permission-based system keeps us out of creepy territory and only deliver relevant, context-driven content.

You can read the article here, and also listen to Roger’s podcast of his interview with our three co-founders here.

Want to be one of the first to join the Cognistx revolution? Click here to apply to become a Beta tester.


Cognistx Featured On Popular Podcast

by Karen Barnes | partner + svp, strategy

Welcome to the age of individual mobile marketing! Finally, technology, customer demand and timing are converging for the next big paradigm shift – true customer-centricity.

The word is starting to spread about our SmartCognitives™ platform – and recently attracted the attention of Roger Dooley, author of Brainfluence, popular blogger and Forbes magazine contributing writer. He recently interviewed our three co-founders about the technology and opportunity driving our platform.

Take a listen to the entire podcast or read the transcript.podcast

You’ll learn:

  • How the SmartCognitives™ platform was designed to work.
  • The “why” that Eric, Sanjay and Jeffrey are attempting to answer.
  • How your browsing history influences the ads and coupons you receive.
  • Why retailers need to be omnivorous in their data collection.
  • Where Target went wrong in their personalized ads.
  • When to use dialog vs form-based questionnaires.