03.12.2018 Views

Debunking Myths About Artificial Intelligence

We’ve debunked five of the biggest myths about Artificial Intelligence to help you understand the truth about today’s AI landscape.

We’ve debunked five of the biggest myths about Artificial Intelligence to help you understand the truth about today’s AI landscape.

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Despite all the promise of AI, the marketing industry has been slow to embrace it. Some believe<br />

that it would require too much work to implement it and others feel that working with AI<br />

involves the simple flip of a switch. The truth lies somewhere in between.<br />

Another common misconception is that only large, well-established companies can afford and<br />

benefit from AI. Perhaps the greatest concern of all is that it will make human workers<br />

obsolete.<br />

Challenging the <strong>Myths</strong> of AI<br />

It’s understandable that marketers feel hesitant to embrace something as large and powerful as<br />

AI. Even so, many of their fears simply aren’t realistic. If you’re a marketer wanting to make<br />

more accurate predictions about consumer behavior and better identify your target market,<br />

you owe it to yourself to separate myths from truth when it comes to AI.<br />

1. AI implementation doesn’t mean excessive work for your in-house marketing team. It<br />

requires little effort to implement when set up properly. The biggest challenge will be to<br />

determine the most important goals and establish access to applicable streams of data.<br />

At this stage, AI providers determine value and identify any inconsistencies.<br />

2. Marketers can reap the benefits of AI quickly but should expect a longer refinement<br />

process. Implementing AI doesn’t need to take a lot of time or resources, but it’s more<br />

involved than flipping a switch. Anticipate that it will take time to establish machine<br />

learning and algorithms and to know which data insights are most helpful. If you<br />

establish a realistic timeline, you should do just fine implementing AI.<br />

3. AI and big data are not the same. Perhaps your company already uses big data to<br />

improve the targeting of customers and make marketing campaigns more effective. This<br />

differs from AI. When you use AI, you can fully automate marketing processes and see<br />

the results improve steadily over time. Companies new to AI should realize these<br />

differences and make sure they realize the benefits of both big data and AI.

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