<img height="1" width="1" style="display:none" src="https://www.facebook.com/tr?id=2006193252832260&amp;ev=PageView&amp;noscript=1">

1 Min Read

3 Expert Videos on How to Think About AI

Featured Image

Wondering how to get started with AI? Take our on-demand Piloting AI for Marketers Series.

Learn More

There are lots of ways to use artificial intelligence at your company. These three videos from AI experts are some of the best we've found to understand and leverage the technology.

1. What Is AI?

You don’t need to know everything about AI to take advantage of it in your marketing career. But you do need solid foundational knowledge. This video has you covered.

 

 

2. What Is AI in Digital Marketing?

In this video, Marketing AI Institute founder Paul Roetzer and Kevin Walsh, product manager of machine learning at HubSpot, discuss:

  • How would you define artificial intelligence and machine learning?
  • What are some examples of AI at work in our daily lives?
  • What is the role and state of AI in marketing, sales and service technology today?

 

3. How Can Marketers Use Artificial Intelligence?

In this video, Marketing AI Institute founder Paul Roetzer and Kevin Walsh, product manager of machine learning at HubSpot, discuss:

  • What are the reasons marketers should consider AI?
  • How does HubSpot think about AI in its platform?
  • What can marketers learn about AI from using Gmail?

 

Related Posts

Defining Machine Learning and Deep Learning to Understand AI

Mark Kilens | May 25, 2020

You can have marketing conversations with leads at scale thanks to AI chatbots. But first, you need to understand the AI tech that makes it all possible.

What Is Deep Learning?

Mike Kaput | April 29, 2021

What is deep learning? This post offers a clear, easy-to-understand definition for non-engineers looking to use AI in business and marketing.

What Do Marketers Need to Know When Buying AI-Powered Technology?

Paul Roetzer | March 27, 2019

Just because marketing technology companies claim they use AI, machine learning and deep learning, doesn’t necessarily mean their solutions are actually much more intelligent or efficient than what you’re already using.