AI Challenges Facing by Digital Marketers

Digital marketing has been increasing over the last five years. It is primarily due to the massive surge in artificial intelligence in the past few years. AI has helped various small and large-sized firms to enhance their overall productivity and profitability. However, this is not to say that there are no AI challenges for digital marketers, as this technology is still in its infancy. Before we look into understanding the various challenges digital marketers face, let us take a more in-depth look into knowing the role AI has played.

Related: How AI Technology is Revolutionizing Video Marketing

What is the role of AI in digital marketing?

AI technology is an incredible piece of technology capable of gaining customer loyalty in this digital age. Some of the various techniques that artificial intelligence has played in digital marketing are:

● By feeding data into embedded systems that combine smart algorithms with iterative processing, AI works to determine patterns in the data.

● AI has helped managers make more data-oriented decisions and enhance the business’s overall revenue.

● Artificial intelligence has reduced human dependency with various tasks such as content curation, creation, and to boost conversion rates.

● AI also plays a crucial role in determining the needs of the general population and effectively mapping to their marketing strategy.

What are the various AI challenges faced by digital marketers in 2020?

1. Constantly changing AI trends

Artificial intelligence is continually changing, and even though you may optimize the AI, especially in promoting a business as part of a marketing strategy. Many chief marketing officers in organizations worldwide have found it incredibly hard to continually keep up to date with the various artificial intelligence trends.

2. Higher deficiency of high-quality data

In a world that is continuously getting updated with vast chunks of data, it is vital in improving the marketing approach by boosting overall sales. Lack of high-quality data has been one of the biggest hindrances faced by artificial intelligence technology. The data sets that artificial intelligence requires to process are not readily available.

3. AI demands a more significant investment

Implementing artificial intelligence is part of a more excellent business strategy. Organizations are more invested than ever to add AI to its platform. Companies and organizations need AI platforms to automate the existing process by enhancing the entire user experience. The biggest problem is the expenses required to maintain and procure AI software. Artificial intelligence even requires more computational power compared to traditional algorithms. Thus, the costs are much higher to incorporate AI into your business.

4. Ethical concerns

There are various ethical concerns that some individuals may face, as many digital marketers still believe that AI still poses a threat to business growth. With the massive advancement in AI, various moral issues have also sprung up. Some of the significant issues faced are:

●      Higher risk of job loss:

Due to the massive improvement and advancement of artificial intelligence technology, there has been a lot of panic and hysteria, especially among digital marketers. It is mainly because AI-based technologies have become a potential threat to the skilled labor workforce. Society, in general needs, to utilize artificial intelligence in making changes more accordingly. Laborers need to keep upgrading their skills to retain employees more successfully always.

●      Lack of privacy:

Another big fear that digital marketers face due to AI is in learning and making smart decisions. The fear that a majority of digital marketers face is their loss of privacy with the advent of artificial intelligence. Various frameworks have become more prone to a data breach, especially identity theft. More and more clients have become mindful of their security and privacy concerns.

5. Fewer use cases in the market

AI has very few cases, especially to gain more support from the business sector. There is a significant lack of any practical examples, especially as there is no association with AI-based projects. There are only a few individuals that can comprehend machine-controlled advancements as well, as this is a skill set that is not very common.

Final Thoughts:

The vast majority of people are still not skilled enough to operate machines, especially to think and learn for themselves. We hope you found all of these AI challenges faced by digital marketers informative in understanding how to manage smart machines, by thinking and learning for themselves. If you are a digital marketer who has been facing trouble by adopting artificial intelligence technology on your business, please share your experience. Good luck. Thanks for reading!

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