Enabling NLP for enterprise applications

Relevant and precise search functionality is instrumental for modern applications. In the past few years, newer pre-trained language models have transformed the enterprise search landscape. Building semantic search or a question answering application for thousands of end users can now be a matter of days.

In this webinar, Milos Rusic, the CEO of deepset, the company behind a popular open source Natural Language Processing (NLP) technology, will share key findings from working with large enterprise customers, demystify industry-specific concepts, highlight areas of focus, and explain how to lower the barrier to modern NLP without incurring unnecessary costs in time or money.

Susie Harrison, Commercial Editor

August 4, 2022

AI Business logo in a gray background | AI Business

Date: Sep 22, 2022

Relevant and precise search functionality is instrumental for modern applications. In the past few years, newer pre-trained language models have transformed the enterprise search landscape. Building semantic search or a question answering application for thousands of end users can now be a matter of days.

In this webinar, Milos Rusic, the CEO of deepset, the company behind a popular open source Natural Language Processing (NLP) technology, will share key findings from working with large enterprise customers, demystify industry-specific concepts, highlight areas of focus, and explain how to lower the barrier to modern NLP without incurring unnecessary costs in time or money.

Attend this webinar and learn:

  1. What is the state of modern Natural Language Processing in 2022

  2. What are the main misconceptions and challenges for enterprise adoption

  3. What product owners, developers and data scientists need to know and how to succeed

Speakers

Liz HughesLiz Hughes

Editor, IoT World Today

About the Author

Susie Harrison

Commercial Editor

Susie is the Commercial Editor of AI Business

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