Data-literate companies possess the ability to retrieve, structure, analyze, consume and leverage data to their advantage.
A seemingly infinite number of sources continue to produce endless streams of data that grow deeper, more complicated and granular each day. In banking, this means that fluency in the practices of data analytics and data science is paramount.
Arria hosted a new and well-attended webinar last Thursday, November 14, to discuss how two pivotal technologies—Natural Language Generation and Robotic Process Automation—can work together to expedite the flow of information within businesses. Because of the groundswell of interest, we have added the subject to our regular rotation of webinar topics.
Now home in Scotland after taking part in the 12th International Conference on Natural Language Generation, Arria’s Chief Scientist & University of Aberdeen Professor Ehud Reiter and Applied Research Scientist Craig Thomson had lots to share about their experiences.
NLG performs the amazing feat of giving machines the power of human language. In doing so, it offers a quick route to ROI and pushes forward the democratization of data literacy—particularly in the areas of FP&A, operational analysis, BI, and almost any task that involves RPA. Here we’ll offer an overview of key points for executives who are considering NLG as a component of their overall automation strategy.
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)
