Jen Underwood (@idigdata) - Natural Language Generation, NLG vs NLP, Automation Analytics




Data Podcast show

Summary: Jen Underwood, founder of Impact Analytix, LLC, is a recognized analytics industry expert. She has a unique blend of product management, design and over 20 years of “hands-on” development of data warehouses, reporting, visualization and advanced analytics solutions. In addition to keeping a constant pulse on industry trends, she enjoys digging into oceans of data. Jen is honored to be an IBM Analytics Insider, SAS contributor, former Tableau Zen Master, and active analytics community member. In the past, Jen has held worldwide product management roles at Microsoft and served as a technical lead for system implementation firms. She has launched new analytics products and turned around failed projects. Today she provides industry thought leadership, advisory, strategy, and market research. She also writes for InformationWeek, O’Reilly Media and other tech industry publications. Jen has a Bachelor of Business Administration – Marketing, Cum Laude from the University of Wisconsin, Milwaukee and a post-graduate certificate in Computer Science – Data Mining from the University of California, San Diego. Interviewer: Rajib Bahar, Shabnam Khan - WSJ had an article on automation analytics recently. As if we don't have enough terms to keep track of such as descriptive analytics, predictive analytics, prescriptive analytics... What is the deal with automation analytics? Are they calling automatically scheduled jobs automation analytics? Or is this concept completely different? - According to Gartner, “By 2019, natural-language generation will be a standard feature of 90% of modern BI and analytics platforms.” NLG was also cited by Forbes in 2017 as a Top 10 Hot AI technology. What is natural-language generation? How does this subfield of AI differ from Natural language processing or NLP? - Recently, you released a white-paper on "Humanizing Enterprise Application Software with Natural Language". Would you like to share the lessons you have learned? - What major forces are currently driving demand for Advanced NLG? - How do Basic & Advanced NLG work? - Are there any benefits of embedding NLG into applications? - Is Quill by Narrative Science the only NLG product in this area? How does it compare to the competition? Please share it's pros and cons to other similar platform. - how do we connect with you in Twitter or other professional networking sites? Music: www.freesfx.co.uk