AI Evening: Applied Deep Learning for Natural Language Processing for Enterprise Use Cases | SGInnovate
May 17
2018

Location

32 Carpenter Street
Singapore 059911

AI Evening: Applied Deep Learning for Natural Language Processing for Enterprise Use Cases

Presented by SGInnovate. Partnered with IBM

Join SGInnovate and IBM on 17 May as we delve deep into Natural Language Processing with deep learning for enterprise applications, with illustrative practical use cases in banking, finance, healthcare, intelligence.

Date: 17 May 2018
Time: 6:30pm – 9:00pm
Venue: 32 Carpenter Street, Singapore 059911

Programme:
6:30pm – 7:00pm: Registration
7:00pm – 7:30pm: An introduction to Deep Learning for Natural Language Processing 
7:30pm – 8:30pm: Use Cases and achieving rock solid enterprise grade results 
8:30pm – 9:00pm: Networking and End of Event

Session 1: An introduction to Deep Learning for Natural Language Processing

  • NLP problems in Enterprises the status quo and trends
  • Fundamental capabilities entity and relationship detection, organisation with ontologies and taxonomies, inference, sentiment extraction, creating domain specific type systems

Session 2: Use Cases and achieving rock solid enterprise grade results

  • State of the art in API, DL Architectures and frameworks
  • NN Architectures for NLP 
  • Achieving Low hanging results with IBM Watson Natural Language Understanding and Watson Knowledge Studio
  • Implementing NN for NLP
  • UC1: Banking
  • UC2: Insurance
  • UC3: Healthcare

Speaker: Manprit Singh, IBM Watson Enterprise AI Architect

Manprit Singh

Manprit Singh is IBM Watson Enterprise AI Architect and mentor. He has been an integral member of the IBM Watson team since the inception of the business. He strives to help businesses realize the relevance and reality of AI. Helping customers harness the potential of Watson Cognitive platform capabilities is his focus. He consults customers in identifying use cases that have a high potential of benefiting from cognitive infusion. Then helps customers build minimum viable products for those use cases and also mentors in the realization of these MVPs into sustained products and offerings.

Manprit brings a broad range of industry and technology delivery experience into his current role at IBM. Before joining IBM Manprit held engineering positions at, Siemens Healthineers and Microsoft consulting. At IBM he has worked as DevOps consultant, Software Architect and Product manager for Watson IOT. He has extensive experience in helping IBM clients be successful with IBM software.

Topics: Artificial Intelligence / Deep Learning / Machine Learning / Robotics

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