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6 Ways to Get Started with Marketing AI

Posted by Mike Kaput on November 8, 2018

How do I get started?

You don't need to know it all to build a competitive advantage with AI in your business and career.

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This post originally appeared on the Marketing Artificial Intelligence Institute's blog. The Marketing AI Institute was created and is powered by PR 20/20. 

How do you get started with, and scale, artificial intelligence in your marketing? There’s a conference for that, and you’re invited.

Registration for the inaugural Marketing Artificial Intelligence Conference (MAICON) is now open. The event will be held in Cleveland, Ohio at the Huntington Convention Center, July 16 - 18, 2019.  

MAICON is designed to help marketing leaders truly understand AI, educate their teams, garner executive support, pilot priority AI uses cases, and develop a near-term strategy for successfully scaling AI.

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This post originally appeared on the Marketing Artificial Intelligence Institute's blog. The Marketing AI Institute was created and is powered by PR 20/20. 

Marketers always have the same question when it comes to artificial intelligence:

“How do I get started with AI?”

The best way is to experiment with AI-powered marketing tools. But there are a lot of vendors out there. And a lot of bold claims about what AI can and can’t do.

So taking demos and trials of tools is a must.

We can point you in the right direction.

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Editor's note: This article was originally written by Loraine Burgerpublished on Simplilearn, and has been reprinted with permission. Burger is a content marketing specialist with more than ten years of experience in technical writing, content management, social media strategy and analytics.

The most astounding takeaway from Paul Roetzer’s presentation at INBOUND was the amount of misinformation and false hype around the reality of Artificial Intelligence (AI). Roetzer, who’s the CEO and founder of PR 20/20 and Marketing Artificial Intelligence Institute, unleashed a slew of examples of what AI is and what it isn’t, leading to an informative discussion about what digital marketers can be doing right now to prepare for future innovations.

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This post originally appeared on the Marketing Artificial Intelligence Institute's blog. The Marketing AI Institute was created and is powered by PR 20/20. 

Artificial intelligence has reached peak hype stage, but is it possible that its potential to transform marketing, and your career, is even greater than advertised?

Gartner forecasts global business value derived from AI is projected to reach $1.9 trillion in 2019, ramping up to $3.9 trillion in 2022 through three primary sources of customer experience, cost reduction and new revenue.

Meanwhile, McKinsey Global Institute projects up to a $6 trillion impact of AI and other analytics on marketing and sales, including the areas of pricing and promotion ($1.9T), customer service management ($1.0T), next product to buy/individualized offering ($1.0T), customer acquisition/lead generation ($0.7T), marketing budget allocation ($0.6T), churn reduction ($0.38T) and channel management ($0.32T).

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This post originally appeared on the Marketing Artificial Intelligence Institute's blog. The Marketing AI Institute was created and is powered by PR 20/20. 

“How do I get started with AI?” This is one of the top questions we get from marketers. A lot of professionals want to understand and apply AI to their work. But they don't know where or how to start.

It's understandable. There is a lot of content out there on AI. And there's a ton of hype.

So I want to walk marketers through how I would approach this process, using mock examples.

The goal? Show you how a brand could actually go from conception to reality with marketing AI.

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Content production is one of the more time-consuming functions of a modern marketer. Most people spend 2-3 hours writing a single blog post, and many brands publish multiple times per week—sometimes multiple times per day.

This production rate is required, considering that 84% of people expect brands to provide content that entertains, tells stories, provides solutions and creates experiences and events.

That’s a tall order.

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You use artificial intelligence dozens, if not hundreds, of times everyday. From choosing recommended shows on Netflix, to navigating trips in Google Maps, asking questions of Siri and Alexa, ordering products on Amazon, reading your Facebook Newsfeed, and unlocking the iPhone facial recognition.

In short, your life is already machine assisted, and your marketing will be too.

AI makes things more convenient, more simple, and more personalized. And, the real magic of AI is that consumers often have no idea it’s there. Things just work, better.

Marketers who take the initiative to find AI-powered solutions will be able to intelligently automate time-intensive, data-driven activities, and execute personalized campaigns of unprecedented complexity that drive meaningful business results.

But, how do you get started?

How do you figure out which use cases to prioritize? And, how do you navigate the hundreds of vendors touting AI and machine learning capabilities?

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If you’re Bethany Johnson (@thanybethanybe), you learn as much about it as possible.

Johnson is a content marketer who wrote an article for Skyword’s Content Standard about natural language generation (NLG), an AI technology that automatically writes data-driven narratives. She caused a stir among freelancers and writers who feared bots were going to replace them.

“This particular form of artificial intelligence may one day have the potential to put many of my buddies out of a job,” she writes. “What I consider exciting really upset many community members, so I decided to dig into the topic to clarify.”

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This post originally appeared on the Marketing Artificial Intelligence Institute's blog. The Marketing AI Institute was created and is powered by PR 20/20. 

Will AI replace your job?

To be honest, no one knows for sure. Not yet. Which makes it more important than ever to ask the question.

We know AI is advancing rapidly. Image and voice recognition have become serious technologies. Natural language processing and generation are progressing. Neural networks push the envelope of how well machines learn without human intervention.

This has led to some insane advancements. We all now have AI voice assistants in the form of Siri and Alexa. Self-driving cars are viable technologies—and self-driving trucks may be next. Google built AI that taught itself how to be superhuman at a board game—without human teachers.

It's still very early in AI. But these advancements mean we need to move beyond hype and start asking tough questions.

How might AI redefine marketing jobs? How might it redefine our entire industry? And how do we train ourselves and others to survive potentially massive disruption?

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