Building Artificial Intelligence Products

Artificial intelligence systems are achieving breakthrough results in speech, image/video, text mining, etc. but deploying them into production presents a unique set of challenges:

  • Ability to understand (and therefore trust) models
  • Designing processes that combine human and artificial intelligence 
  • Collaboration between business experts and machine learning researchers
  • Customer and partner privacy concerns
  • Risks of autonomous decisions (i.e. quant fund meltdowns)

This workshop will focus on case studies and best practices for overcoming these challenges in real environments.

DATE

April 6, 2017, 9:30a - 5p

 

LOCATION

TBA

100.00 250.00
Quantity:
Register
 

Agenda

Morning

  • Survey of machine learning / deep learning use cases
  • Challenges of putting deep learning models into production
  • Case studies

Afternoon  

  • AI startup funding and revenue models
  • Enterprise assimilation of AI  

Evening

  • One-on-one mentoring
 

Workshop Hosts

 

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