What are the limitations of AI for marketers?

The Artificial Intelligence (AI) concept is still an unclear concept for many people. Let’s make clear and exactly what it means and then we will go through it and analyze how a marketer will use it.

The beginnings of modern AI can be traced to classical philosopher’s attempts to describe human thinking as a symbolic system. But the field of AI was not formally founded until 1956, at a conference at Dartmouth College, in Hanover, New Hampshire, where the term “artificial intelligence” was coined. Most AI examples that you hear about today — from chess-playing computers to self-driving cars — rely heavily on deep learning and natural language processing.

Artificial intelligence plays a vital role in helping marketers connect with consumers. AI is often used in marketing efforts where speed is essential. AI tools use data and customer profiles to learn how to best communicate with customers. Some various ways Artificial Intelligence is used in marketing are: selecting the right message, predictive marketing analytics, and dynamic pricing.

The benefits of leveraging artificial intelligence in marketing include risk reduction, increased speed, greater customer satisfaction, increased revenue, and more.

Regarding privacy policies, consumers and regulating bodies alike are cracking down on how organizations use their data. This is one of the most important concerns of customers. Marketing teams need to ensure that they are using consumer data ethically and in compliance with standards such as GDPR, or risk heavy penalties and reputation damage. This is a challenge when using AI. Unless the tools are specifically programmed to observe specific legal guidelines, they may overstep what is considered acceptable in using consumer data for personalization.

Besides, it is important, to begin with, a thorough plan when leveraging AI in marketing campaigns and operations. This will ensure that marketing teams minimize the possibility of high costs and achieve the most value from their AI investment in the least amount of time.

Despite some challenges, it is essential to trust big data as a marketer.

Let me know if you ever find it hard to completely trust big data!