Machine Learning: Internal to Customer-facing

Goals

To obtain any recent examples of companies / brands turning their internal machine learning projects and experiments into consumer-facing outputs. IBM prominently featuring Watson in marketing campaigns is a somewhat old, but relevant example.
To obtain trends that specifically address how machine learning is going from internal process to external marketing feature, either from the usual suspects (tech companies) or from brands that you might not expect (CPGs). This will inspire cutting edge applications of machine learning.

Early Findings

MACHINE LEARNING OVERVIEW
MACHINE LEARNING TRENDS
  • Machine learning is experiencing rapid growth in the tools, the process of building, deploying, and managing machine learning.
  • AutoML tools are intended to enable a plug-and-play solution, without the need for expertise in this area.
  • Machine learning is responsible for global digital transformation.
  • The CAGR of the machine learning industry is at 42% and will have reached $9 billion by 2022.

Proposed next steps:

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