Webinar: Modern NLP Solutions for Today's Financial Use Cases

There's a better way to extract value out of the millions of documents at your disposal. Join us for an interactive webinar where we’ll demonstrate, using Amenity’s industry-leading NLP, how you can turn an idea into a powerful data pipeline that can accelerate your business. Experience first-hand as we take you through a use case from inception to production, and discover how intuitive it is to create NLP models on-demand to realize an immediate ROI.

Veeral Shah
VP of Product
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Event:
August 18, 2021
GoTo Webinar

Webinar: Wednesday, August 18, 10:00-10:45AM EST

How to accelerate great outcomes with Amenity’s leading-edge NLP platform.

As an industry-leading institution, you’ve spent millions on data analysts and even front-office personnel to analyze, report on, and extract value from the vast array of documents that your departments use every day. You’ve explored natural language processing (NLP), AI, and machine learning to systematize this work, improve cost, performance and consistency. But all of the approaches out there are either too rigid, too opaque, or too expensive. Plus, they can’t understand the language of your business well enough to do the job.

There's a better way.

Join us for an interactive webinar where we’ll demonstrate, using Amenity’s industry-leading NLP, how you can turn an idea into a powerful data pipeline that can accelerate your business. Experience first-hand as we take you through a use case from inception to production, and discover how intuitive it is to create NLP models on-demand to realize an immediate ROI.

The Amenity Analytics platform is used by top firms to generate key insights from mountains of financial documents, company disclosures, and news. We build NLP models that automate workflows to help industry leaders gain an edge.

Agenda:
  • Extracting value: The document-to-data challenge  
  • How to go from idea to an effective data pipeline
  • Interactive demo:  Creating a Taxonomy >> Establishing Rules and Frameworks >> Collaboration Cycle >> Production 
  • Q&A 
Attend