Decisions Now Episode 1: How Can Marketers Leverage AI to Drive Results Featuring Paul Roetzer
Artificial intelligence has a wide range of applications in the commercial world. In reality, most of us engage with artificial intelligence on a regular basis in some way.
On this episode, we are joined by Paul Roetzer, CEO and Founder of Marketing AI Institute and PR 20/20, talks about Artificial Intelligence and its uses in the business world.
They discuss what are the functions and forms of Artificial Intelligence in businesses nowadays.
“It’s this idea that the machine, the software, the hardware we use to do marketing, whether it’s social media or advertising or CRM analytics, automation, they’re they’re elementary, they’re they’re human rules-based technologies.”
They also talk about what are the tasks Artificial Intelligence does mostly and when will humans intervene and take over the work.
“Find something that’s repetitive, find something that you do over and over again that you could sit down and say, here’s the seven to 10 steps that I take to do this task. There’s a decent chance someone has built an AI powered tool to automate that task, but that tool gets better and smarter over time. And so finding those repetitive tasks that we would call those use cases where you can apply a technology”
The Hosts also discuss how AI influences marketers in forming better decision making.
01:26
What is AI in Marketing perspective?
Paul and Rigvi discuss what is AI in general and what is its form, how AI function and learn from data and how to use AI to make our lives better.
04:21
Where does the AI fit in? And when will humans take over the labor from A.I in a workplace?
According to Paul, there is repeated work in a process, and by understanding this, AI technology may be developed around that work, reducing the workload for humans.
08:37
How can marketers use AI to make the job more efficient?
Paul used the example of a marketer doing an email campaign. He claimed that artificial intelligence, by employing an AB Test and analyzing the data in that campaign, marketers can become more efficient in their email marketing.
12:07
What is the difference between Old School Analytics vs AI analytics in helping people to come up with decisions without decision biases?
Paul describes the beauty of AI and its ability to find patterns in data and generate insights that can be used to make better decisions.
Rigvi also shares how decisions are made on traditional analysis versus the new generation of statistical modeling and AI.
15:44
How will AI affect the field for data scientists, machine learning engineers and marketers in 10 or more years in the future?
Paul exclaims that perhaps these groups of people will spend more time together in the future. He might also think that data scientists may not be required as AI develops. improves with each day.
22:15
How can AI be used in some industries other than marketing?
Paul agrees with AI can be used to any industry as long as a goal for making it smarter and more efficient exists. He also stated that there are three macro categories that can be used to make an industry more intelligent.
26:07
What does an algorithmic leader mean, and where do we see it going?
Paul explains that in AI, you don't have to know everything. but instead concentrated on figuring out what your company can accomplish when smarter technology is utilized.
On this episode, we are joined by Paul Roetzer, CEO and Founder of Marketing AI Institute and PR 20/20, talks about Artificial Intelligence and its uses in the business world.
They discuss what are the functions and forms of Artificial Intelligence in businesses nowadays.
“It’s this idea that the machine, the software, the hardware we use to do marketing, whether it’s social media or advertising or CRM analytics, automation, they’re they’re elementary, they’re they’re human rules-based technologies.”
They also talk about what are the tasks Artificial Intelligence does mostly and when will humans intervene and take over the work.
“Find something that’s repetitive, find something that you do over and over again that you could sit down and say, here’s the seven to 10 steps that I take to do this task. There’s a decent chance someone has built an AI powered tool to automate that task, but that tool gets better and smarter over time. And so finding those repetitive tasks that we would call those use cases where you can apply a technology”
The Hosts also discuss how AI influences marketers in forming better decision making.
01:26
What is AI in Marketing perspective?
Paul and Rigvi discuss what is AI in general and what is its form, how AI function and learn from data and how to use AI to make our lives better.
04:21
Where does the AI fit in? And when will humans take over the labor from A.I in a workplace?
According to Paul, there is repeated work in a process, and by understanding this, AI technology may be developed around that work, reducing the workload for humans.
08:37
How can marketers use AI to make the job more efficient?
Paul used the example of a marketer doing an email campaign. He claimed that artificial intelligence, by employing an AB Test and analyzing the data in that campaign, marketers can become more efficient in their email marketing.
12:07
What is the difference between Old School Analytics vs AI analytics in helping people to come up with decisions without decision biases?
Paul describes the beauty of AI and its ability to find patterns in data and generate insights that can be used to make better decisions.
Rigvi also shares how decisions are made on traditional analysis versus the new generation of statistical modeling and AI.
15:44
How will AI affect the field for data scientists, machine learning engineers and marketers in 10 or more years in the future?
Paul exclaims that perhaps these groups of people will spend more time together in the future. He might also think that data scientists may not be required as AI develops. improves with each day.
22:15
How can AI be used in some industries other than marketing?
Paul agrees with AI can be used to any industry as long as a goal for making it smarter and more efficient exists. He also stated that there are three macro categories that can be used to make an industry more intelligent.
26:07
What does an algorithmic leader mean, and where do we see it going?
Paul explains that in AI, you don't have to know everything. but instead concentrated on figuring out what your company can accomplish when smarter technology is utilized.
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