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Date: October 14, 2021
Time: 10:00am – 11:00am CDT
Duration: 1 hour

Today, users expect more from their document repositories than the traditional keyword search experience. Natural language questions may be answered about general topics, but what can an organization offer that fits their specific domain? Find out how i2k Connect is leveraging NVIDIA technology to accelerate Q&A capabilities for the energy industry and which key lessons they've learned about answering questions intelligently using modern natural language processing (NLP) and BERT-based models.

By attending this webinar, you will learn how to:
  • Utilize BERT-based question answering models
  • Provide real-time responses using tabular data extracted from documents
  • Pre-compute knowledge to assist in answering real-world questions
  • Build an NLP architecture that combines multiple strategies
Join us after the presentation for a live Q&A session.



You will receive an email with instructions on how to join the webinar shortly.

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.


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Joshua Eckroth, PhD

Chief Architect, i2k Connect Inc. and Associate Professor of Computer Science, Stetson University

Josh has primary responsibility for the software architecture that underpins the i2k Connect Platform. He is also an Associate Professor of Computer Science at Stetson University. Josh holds a PhD in Computer Science (Artificial Intelligence and Cognitive Science) from The Ohio State University and became Associate Editor for AAAI’s Interactive AI Magazine in 2021.

Reynaldo Gomez

Energy Partner Ecosystem Manager, NVIDIA

Reynaldo earned his BS in Nuclear Physics from the University of Texas in 2013 and is now earning an MS in Management Science and Engineering from Stanford. He spent three years at Schlumberger WesternGeco as a geophysicist before moving to IBM and then joining the Energy team at NVIDIA. He now manages the partner ecosystem, with a focus on machine learning, deep learning, and HPC.

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Webinar: Description here

Date & Time: Wednesday, April 22, 2018