Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
Mridu Narang

Mridu Narang
Senior Software Engineer, Microsoft

Website

Mridu Narang is a senior engineer at Microsoft, where she builds foundational algorithms and scalable machine learning systems focused on solutions for natural language question-answering systems. In her time at Microsoft, Mridu has contributed on entity linking, temporal fact extraction, and photosynth projects.

Sessions

2:35pm–3:15pm Wednesday, May 2, 2018
From answering questions to questioning answers: Challenges of large-scale QnA systems
Implementing AI
 Location: Grand Ballroom East
Mridu Narang (Microsoft)
Average rating: ***..
(3.00, 3 ratings)
In a world of information overload and manipulation, knowledge acquisition techniques are expected to provide instant, precise, and succinct answers. Question-answering (QnA) systems must serve answers with high accuracy and be backed by strong verification techniques. Mridu Narang offers an overview of the challenges of and approaches taken by large-scale QnA systems. Read more.