Arria’s Chief Scientist & University of Aberdeen Professor Ehud Reiter and Applied Research Scientist Craig Thomson will be representing Arria at the 12th International Conference on Natural Language Generation in Tokyo next week, October 29 - November 1, 2019. Arria NLG is proud to provide thought leadership at this event, the largest annual gathering of NLG expertise in the world.
DevPro Journal published an article this week entitled "NLG: Bridge the Communication Gap Between People and IT," based on an interview they recently conducted with Arria COO Jay DeWalt.
The article establishes that Natural Language Generation (NLG) is a separate layer of the natural language technologies stack,
We were pleasantly surprised at Arria to see this spontaneous case study developed and published by Analytics Insight. In "Arria helps a multinational corporation automate business intelligence process for quick decision-making," the authors make many of the points that we would have made if we had written the article ourselves.
It’s been a great week here at Arria, with the sales bell ringing and our team preparing to join UiPath at Forward III next week. The cherry on top is the appearance in Forbes of an article by our CEO, Sharon Daniels. In “Giving Machines the Power of Language While Keeping Humanity at the Heart of AI,” published this morning, Sharon lays out a vision for a future
It may at first seem counterintuitive that math plays an important role in daily conversation, but let’s consider how frequently our word selection and sentence composition are supported by mathematical calculations. Then we’ll discuss the implications for Natural Language Generation (NLG)
After our previous post about the groundbreaking work that data reporters at RADAR AI and BBC News Labs are doing to bring attention, context, accuracy, and timeliness to hyperlocal news stories, Gary Rogers, RADAR AI’s CEO, gave us a nice shout out on LinkedIn. Gary called Arria NLG Studio “a great tool in [RADAR AI’s] data-driven workflow
We’ve written about how Natural Language Generation can eliminate the bottleneck of manual, one-at-a-time analysis within business environments, producing data-driven insights that otherwise would remain fossilized in spreadsheets on the network drive. It is also worth noting that the same principles apply to the world of news reporting
Question: “Where does NLG sit in the technology stack?”
Answer: “As the push toward digital transformations gains momentum, maintaining Natural Language Generation (NLG) as a separate layer of the technology stack is ever more critical for ensuring the democratization of data literacy.