Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...

Model Deployment

Personalities That Are Barriers to Model Deployment (And How to Partner With Them) Part II: The Skeptic

By: Philip O'Brien, MIS and Portfolio Manager, Paychex

 So you have gathered your data and completed your exploration and cleansing. You labored countless hours transforming the data and created a strong model that can revolutionize the way your company sees its clients, makes decisions and competes in your market. Yet for all of your efforts the model roll out is stalled. The numbers

Personalities That Are Barriers to Model Deployment (And How to Partner With Them) Part I: The Early Adopter

By: Philip O'Brien, MIS and Portfolio Manager, Paychex

 So you have gathered your data and completed your exploration and cleansing. You labored countless hours transforming the data and created a strong model that can revolutionize the way your company sees its clients, makes decisions and...

The Role of Analysts After Model Deployment

By: Dean Abbott, President, Abbott Analytics, Inc.

Last month I made the case for discussing model deployment. One of the mistakes I see organizations make related to deployment is this: after the model is deployed, there is little or no thought about that model...

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