Mark Christian Sicat | Your online freelancing partner
Mc DigitalSolutions PH
Freelancers versus Artificial Intelligence (AI) and Machine Learning (ML)
Thousands of individuals around the globe are getting into the fold of freelancing Digital Marketing solutions. Yes, we want to fulfill the dream of flexibility and freedom while earning a good chunk of a dime. Meanwhile, the advancements in Artificial Intelligence (AI) and Machine learning (ML) are shaking off most of the digital workforce. And this is because of the brewing conceptions of AI and ML applications in digital marketing. Should we be worried and succumb to the fear of losing our careers? Are we going to be replaced by this kind of system? WHAT CAN WE DO ABOUT IT?
What are Artificial Intelligence (AI) and Machine Learning (ML)?
Artificial Intelligence (AI) refers to the capability of a computer-commanded robot to perform tasks and simulations. These simulations are related to human reasoning, perception, and learning. On the other hand, Machine Learning (ML) is the application and development of computer-generated systems. These systems can adapt without following explicit instructions. Moreover, the process of ML uses algorithms and statistical models to analyze and draw inferences from patterns in data. Specifically, the prime examples of these applications are ChatGPT and the upcoming Google Bard. These applications have changed the game in digital marketing. Moreover, these two have created a significant amount of impact on the efficiency of work processes.
Impact potential of Artificial Intelligence and Machine Learning in the Digital Marketing workforce.
AI and ML can automate within the full spectrum of digital marketing by utilizing algorithms to analyze chunks of data and execute tasks that would otherwise be time-consuming or difficult for humans to do manually. Some of these are as follows:
1. Personalization
AI and ML can sort and interpret customer inputs such as purchase history, browsing data, and demographic segmentations to produce customized suggestions and content. For instance, these can integrate with email marketing campaigns, custom landing pages, and targeted product suggestions.
2. Ad optimization
AI and ML can process user data and psychological behavior to produce specific ad campaigns and optimize the performance of the Ad. These would help marketers identify the best placement for Ads, optimize Ad strategy, and determine the optimal time to display Ads.
3. Content creation
AI and ML can formulate content like blog posts, social media posts, and product reviews. These can include interactive and high-quality content relative to the brand’s core values and mission.
4. Chatbots and customer service
AI and ML can fabricate chatbots that engage with customers and produce automated responses. These include answering FAQs, providing recommendations, and helping customers address their concerns.
5. Data analysis and insights:
AI and ML can examine bulks of data to give customers insights based on their preferences.
Given these examples, AI and ML can automate digital marketing tasks, helping marketers to shift their focus on higher-level duties and strategic decision-making. These will help businesses become more competitive and efficient in formulating digital marketing strategies.
Limitations of Artificial Intelligence and Machine Learning.
There is no doubt that Artificial Intelligence and Machine Learning have revolutionized the playing field and radically reformed marketing strategies and disciplines. However, there are still some limitations to what AI and ML can do.
1. Creative Touch
AI and ML systems are excellent at optimization and outcome prediction based on historical user data. Even so, these cannot execute creative and innovative ideas that can effectively spark the audience’s attention.
2. Heavy reliance on the quality of the available data
AI and ML algorithms rely on numerous high-quality data to learn and produce inputs. In digital marketing, there is a risk of data inaccuracy and biased results, which can limit the efficiency of these two.
3. Limitations in understanding human behavior
While AI and ML can examine and predict customer behavior, these systems lack the capacity to understand human intent, emotions, and preferences.
4. Excessive dependence on automation
Automation is time-saving and can improve efficiency. However, it can also subdue the lack of human touch and personalization. These can negatively impact user experience.
5. Data privacy and ethical concerns
The use of AI and ML in digital marketing has an ongoing issue in violating data privacy. There is also a risk of unethical or discriminatory practices if these algorithms are unmonitored.
How can modern-day marketers position themselves in emerging Artificial Intelligence and Machine learning technologies?
The notable mentions above have given us the proper idea of how to position ourselves in the unstoppable evolution of Artificial Intelligence and Machine Learning. Let us look at these systems on a larger scale, zoom the picture out, and look for a way to ride the flow with the process and not go against them. Yes, I am encouraging you to utilize them in your marketing efforts in order for you to be more efficient and competitive in the marketing field.
To show you an example, I gave Chat GPT a try at the time of writing this article. Don’t get me wrong. AI did not generate this article entirely. I just executed some search prompts (which I will discuss in one of my future blogs) to help me efficiently produce an article like this and write my heart out, incorporating my personal human touch. To keep this simple as sunshine, I balanced the use of AI and my human thought process while maintaining the quality of my content. And as my parting advice? Use Artificial Intelligence and Machine Learning as an addition to your marketing arsenal, and don’t let them dominate your personal touch. A human heart always wins.
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