3 reasons why the right infrastructure support is essential for AI

Agencies should develop AI roadmaps to infuse AI into every component of their business such as marketing, sales, and service. They should begin by looking at how AI is affecting or could affect their core services, and then work backwards.

These computer science terms are often used interchangeably, but what differences make each a unique technology?
Technology is becoming more embedded in our daily lives by the minute. To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. You can see its application in social media (through object recognition in photos) or in talking directly to devices (such as Alexa or Siri).

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. This blog post clarifies some of the ambiguity.

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