AI & Machine Learning - Deepstash

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AI & Machine Learning

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Stephan Gans - Team PepsiCo

I’m always making sure there is both a data-driven and a human empathy perspective brought to commercial decision-making.

That is a key role and ongoing challenge for my team

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The process of curating datasets for machine learning starts well before availing datasets. Here’s what we suggest:

  • Identify the goal of AI
  • Identify what dataset you will need to solve the problem
  • Make a record of your assumptions while selecting the data
  • Aim for collecting diverse and meaningful data from both external and internal resources
  • Build a dataset that is hard for your competitors to copy

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Narrow AI & General AI

Very broadly, AI can be divided into two: narrow AI and general AI.

1. Narrow AI systems handle singular or limited tasks. Also referred to as weak AI sometimes, such systems have applications in email spam filtering, recommendation systems, and autonomous vehicles.

2. On the other hand, general AI or strong AI, refers to a machine’s capability to think and function as a human. It denotes the ability to distinctly recognise other intelligent entities’ needs, emotions, and thoughts.

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