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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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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. 

Because AI is such a hot topic, everyone is talking about it. But not every commentator has a solid grasp about what AI technologies can and cannot do. This leads to some serious hype about AI’s capabilities and potential. When this hype invariably proves incorrect or incomplete, marketers discount the opportunity presented by AI (and understandably so).

In reality, AI can’t do everything, but it is already transforming business as usual in marketing and sales. And marketers need to pay attention.

Marketing automation and CRM platforms like HubSpot, Salesforce and IBM are baking AI into their solutions. Polled by Salesforce, 3,500 marketing leaders say AI is the “leading technology” where marketers expect the most growth in the next two years. There has been a 4.6X rise in deals to AI startups in the last five years, according to CB Insights, from 150 companies in 2012 funded to 698 in 2016.

Marketing artificial intelligence is here to stay. The real question isn’t “Is AI a thing?,” it’s “What does the future of marketing look like in the age of AI?”

We’ve spent years experimenting with AI and learning about the potential direct from AI providers. And we’ve identified what we believe to be several significant trends that are going to define marketing’s near AI future.

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This post originally appeared on the Marketing Artificial Intelligence Institute's blog. 

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?

You bet. Join us on Wednesday, April 11 at 2:00 p.m. EST to learn how to use AI to improve your marketing performance in a free webinar from Content Marketing Institute and the Marketing Artificial Intelligence (AI) Institute. 

The Marketing AI Institute is powered by PR 20/20. It was created to educate modern marketers on the present and future potential of artificial intelligence, and connect them with AI-powered technologies that can drive marketing performance and transform their careers.

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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. 

For over a decade, savvy professionals have used inbound marketing to grow. Inbound marketing consists of creating and promoting content that addresses customer needs. The goal is to attract, convert, and close more qualified leads by being helpful to consumers. Today, companies use inbound marketing methodologies to market more effectively and cost-effectively.

Marketing automation company HubSpot has defined much of modern inbound methodology. That methodology looks a little something like this:

Source: HubSpot

Says HubSpot:

“Instead of the old outbound marketing methods of buying ads, buying email lists, and praying for leads, inbound marketing focuses on creating quality content that pulls people toward your company and product, where they naturally want to be. By aligning the content you publish with your customer’s interests, you naturally attract inbound traffic that you can then convert, close, and delight over time.”

To achieve these goals, inbound marketers rely on many tools. They include marketing automation software, content management systems, and email marketing systems. They also include CRM systems, content creation tools, and content promotion tools. These systems comprise the inbound marketing tech stack. That tech stack can make inbound marketers more productive, personalized, and performance-driven.

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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. 

“Can we automate content creation using artificial intelligence? More specifically, can we use machines to write blog posts at scale?”

These are the questions we sought to answer in spring 2015 when I launched an internal initiative named Project Copyscale at my content marketing agency, PR 20/20.

I’d had a growing fascination with artificial intelligence since IBM Watson won on Jeopardy! in 2011. I didn’t understand the underlying technology at the time, but when I read Automate This by Christopher Steiner in late 2012 I became convinced that artificial intelligence would transform marketing as we know it. It was only a matter of time.

“Some algorithms’ roots trace to the field of artificial intelligence. They may not be intelligent and self-aware like Hal 9000 (Heuristically programmed ALgorithmic computer), the machine from the movie 2001: A Space Odyssey (1968), but algorithms can evolve. They observe, experiment, and learn—all independently of their human creators. Using advanced computer science techniques such as machine learning and neural networking, algorithms can even create new and improved algorithms based on observed results.” — Christopher Steiner, Automated This (Penguin Group, 2012)

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