We recently co-hosted an event at 1871 in Chicago with Kris Hammond, Chief Scientist at Narrative Science. Called “Technology Explained,” the event helped attendees understand why machine intelligence is succeeding today and how businesses can leverage new technologies to make better decisions and optimize efficiency. Some highlights:
Fast Forward Labs’ Mission: Help Companies Understand New Data Technologies
Kris Hammond described Fast Forward Labs as a “different kind of consulting company, aimed at giving companies the ability to look at things in the world that they might not understand and provide them with that understanding.” As Hilary explained in a recent TechRepublic interview, our goal is to help companies build new products using technologies that are more possible this year than last year.
The Promise Natural Language Generation: Demystifying Data
Kris Hammond used an example from the lakefront of the City of Chicago to demonstrate the promise of natural language generation as a tool that “transforms the world of pure, impenetrable data into something that any parent can read and make a decision about.”
What’s Next for Fast Forward: Text Summarization
Hilary gave a sneak peak of our upcoming text summarization report. We’re combining language generation and neural methods to extract the key sentences for larger documents, and, in the near future, present different points of view from a document corpus.
More from the Blog
Jan 12 2016
We’re excited to start 2016 by putting our Natural Language Generation (NLG) report and prototype on sale! We’re offering multiple packages, including a short report focused on business value for C-level executives. NLG is a technology that allows software systems to write articles and reports. Our RoboRealtor prototype shows how to use NLG to generate real estate ads from a few apartment att...
Jan 22 2016
by with — Chiefly his reflection, of which the portrait / Is the reflection, of which the portrait / Is the reflection once removed. / The glass chose to reflect only what he saw / Which was enough for his purpose: his image / Glazed, embalmed, projected at a 180-degree angle. — Parmagiano and John Ashbery - Self-Portrait in a Convex Mirror Personalizing experiences and recommendations for consum...
by Kathryn with Eli Pariser
Jan 29 2019
by — UMAP explorer: an interactive visualization of the MNIST data set We’re in the middle of work on our next report, Learning with Limited Labeled Data, and the accompanying prototype. For the prototype’s front-end we wanted to be able visualize and explore the embedding of a large image data set. Once you get into the tens of thousands of points, this can be a challenge to do in the browser. T...