Pillar: Inclusive Advanced Analytics (video)



The pillar of Inclusive Advanced Analytics seeks to make AI more widespread and relevant, through access to a wider population within the enterprise.

The ongoing transformation to AI happening within organizations cannot be limited to data scientists. Throughout the entire analytics lifecycle, personas across the enterprise need to collaborate on a shared platform. This kind of inclusive work leads to both better oversight across complementary teams and more trusted results across the organization. A common workspace fosters gradual augmentation of skills for all profiles and mitigates the risks of brutal implementation of AI solutions designed by experts without buy-in from all stakeholders.

This vision for inclusive advanced analytics manifests itself in the following feature categories:

  • A unified visual abstraction
  • A skill-agnostic platform
  • Extensibility through plugins
  • Discussions and wikis for team collaboration