Enterprise Assimilation of AI

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

  • Executive's ability to understand (and therefore trust) models
  • Redesign of processes to combine human and artificial intelligence 
  • Collaboration between business experts and machine learning researchers
  • Employee displacement concerns due to automation
  • 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 enterprise environments.

DATE

May 11, 2017, 9:30a - 4p

 

LOCATION

60 Spear St, 11th Floor
San Francisco

 

Co-Organized WiTH

 

Topics Discussed

Model visualizations

Prediction certainty

Differential privacy

Model performance measurement

Combining human and artificial Intelligence

Applying ML research

 

Workshop Leaders

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