Why combining A.I. and automation helps you capitalize on your existing assets

Whether or not you’ve started your automation or A.I. journeys, your business has valuable assets and data that can be unlocked to find huge benefits.

A.I. and automation: what’s the difference?

Although they are often confused and conflated, automation and artificial intelligence are two distinct entities. However, when you combine the two to create A.I. enabled process automation, it not only gives the best of both worlds, but brings each element — and your business — to a whole new level.

Automation

Definition:

  • Automation describes a wide range of technologies that reduce human intervention in processes.

Examples:

  • Assembly line automation
    Automated email responses

Artificial Intelligence

Definition:

  • A.I. is intelligence displayed by machines and computer systems, which have been developed to perform tasks that would usually require human intelligence.

Examples:

  • Smart assistants
    Self-driving cars

A.I. enabled process automation

Definition:

  • This combines A.I. with process automation to surface invisible patterns and optimal processes that help businesses learn, predict, and take action.

Examples:

The top 5 reasons you should combine A.I. and automation

  1. Take advantage of unstructured data
    Software can automate tasks from conditional logic with structured data. However, 80–90% of an organization’s historical data can be unstructured. A.I. allows automation to also cover unstructured data, saving time and increasing efficiency.

Automation and artificial intelligence have their strengths when used individually. When combined, they complement one another to compound these strengths, and save time and money by unlocking the value of your existing assets and historical data.

Want to understand how Intelygenz unites A.I. and automation to help your business hit targets? Discover what makes us different when you download our brochure.

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Intelygenz

Intelygenz

A team of technicians headed by technicians who aim to create agile technology that take businesses to the next level. In Agile We Trust!’