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In-House vs External AI / Data Projects: A Comparison

OUTSOURCING.

It's not a silver bullet.

But for most businesses it’s the right choice, as they don’t have the expertise, experience and flexibility needed to deliver AI and data projects internally. This comparison shows how outsourcing is typically better for businesses when:

  • Planning AI and data projects
  • Recruiting for required expertise
  • Delivering skills for different projects
  • Maximising return on investment
In House vs External AI