ARTIFICIAL INTELLIGENCE (AI) AND ITS APPLICATION IN MARKETING
Today I want to analyze in depth the impact of Artificial Intelligence and its impact on the world of digital marketing, which will bring great value and improve our efficiency, accelerating the "time to market" times for the launch and evolution of digital projects.
In March 2023, we were able to witness the revolution brought about by the launch of ChatGPT, a tool designed by the startup OpenAI.
INTRODUCTION TO ARTIFICIAL INTELLIGENCE
Artificial intelligence (AI) is the ability of machines to mimic some human cognitive functions, such as perception, reasoning, learning and problem solving. Through AI, machines can learn on their own, in a similar way to humans.
According to Professor John McCarthy, who, along with Marvin Minsky, created MIT's Artificial Intelligence Laboratory, AI unveils a new world in which machines can "solve the kinds of problems that were reserved for humans."
In colloquial terms and in a very summarized form, AI is all those technologies that allow machines to learn autonomously.
EVERYDAY APPLICATIONS OF ARTIFICIAL INTELLIGENCE
As users, we use AI in some of our very popular mobile applications. Here are some examples of apps with AI functionality that we use in everyday activities:
THE IMPACT OF ARTIFICIAL INTELLIGENCE IN DIGITAL MARKETING
Marketing deals with every interaction between companies and people, and we dare say that its role today is to help achieve business objectives by creating an increasingly intelligent, secure and seamless customer experience.
To develop a Digital Marketing Strategy we need to deploy and leverage three types of capabilities:
In conclusion, AI is a key tool in the field of digital marketing, as it allows companies to better understand their customers and develop personalized and automated marketing strategies. The evolution and the boost that AI will bring about in our creative, analytical and technological capabilities will lead us to deploy Natural Marketing that will improve customer experience and business results.
In the definition and implementation of a digital Marketing Strategy, Artificial Intelligence is a great ally for the Marketing Areas of the Companies, mainly in the following functionalities:
1. Predictive analytics
2. Content generation
3. Customer Relationship Management (CRM's)
4. Digital advertising
Next, we are going to see examples of AI applications that help us accelerate and improve our creative, analytical and technological capabilities, in each of our Digital Marketing strategies.
ARTIFICIAL INTELLIGENCE APPLIED TO PREDICTIVE ANALYTICS
Artificial intelligence, and in particular predictive analytics techniques, allows us to anticipate the user's needs and offer him the content, product or service he needs, even before he looks for it.
One of the best known applications that uses AI in predictive analytics is the search engine Google itself and Gmail with its Smart Compose tool. In the latter, we see how it helps us to correct errors in the writing of emails and suggests and helps us to finish sentences.
Other examples of lesser-known companies applying AI for predictive analytics include:
ARTIFICIAL INTELLIGENCE IN CONTENT GENERATION
Thanks to Artificial Intelligence, computers are already capable of processing, learning, organizing and publishing content. And in a similar way to how we people do it.
And ChatGPT arrived...
One of the first to start the revolution and publicly test this technology was The Guardian. The GuarGuardian, which published this piece opinion generated and signed by GPT3, OpenAI's artificial intelligence model used for this purpose.
The two leading Big Techs in the business management software sector are staging a competition to implement AI in their suite of enterprise applications. Microsoft has been the fastest, taking advantage of its presence as an OpenAI investor since 2019, announcing this week the launch of Copilot. And as very well defined by Xataca in its article "Microsoft 365 Copilot is ChatGPT revolutionizing Office: this is how it writes emails, documents or presentations for you".
Google has responded by posting this video on their Google Workspace suite channel to let users know how they are applying AI in the suite of business management applications.
Recommended by LinkedIn
We highlight some other examples of AI applications in marketing applications for content generation:
HOW IA IS REVOLUTIONIZING DIGITAL MARKETING AND CRM
Artificial intelligence (AI) has become a key technology for the digital transformation of companies. In particular, in digital marketing and customer relationship management (CRM) applications, AI is generating new possibilities for personalization, automation and optimization of business strategies.
In this regard, leading CRM vendors, such as HubSpot, Salesforce, Sugar CRM and Microsoft Dynamics, have invested heavily in developing AI functionality to enhance their platforms. Some examples:
HubSpot CRM is finalizing its Content Assistant, a tool that will help marketing and sales teams create and share quality copy in minutes. Notable features include the following:
ARTIFICIAL INTELLIGENCE APPLIED TO DIGITAL ADVERTISING
AI is also having a significant impact on digital advertising, thanks to programmatic advertising and audience management and advertising distribution automation tools. In this sense, AI makes use of cookies, chatbots and deep learning techniques to access information from multiple sources, applications and channels, and serve advertising in a more personalized way according to audience demands.
Although cookies will surely eventually disappear, AI will continue to drive digital advertising with predictive analytics to identify users and groups of users based on behaviors and interests. In fact, Google will launch its FLOC (Federated Learning of Cohorts) project to identify users in groups (cohorts) with common interests, based on data from their behavior and interaction on the Internet.
Here are some examples of a new generation of applications that intelligently manage budgets from multiple platforms, combine findings across platforms and use other data sources:
Google Ads and Facebook Ads have long incorporated AI to improve the efficiency of their ads to optimize campaign performance, but these applications incorporate a more personalized approach and integrate different digital advertising tools.
THE FUTURE OF ARTIFICIAL INTELLIGENCE
So far, artificial intelligence is an extension of our own intelligence. And in the coming years they will become our best assistants to do our tasks at greater speed and with greater efficiency.
Already in 2018, AI outperformed human AI in a reading comprehension test. Specifically in the SQuAD test, from Stanford University, considered the best reading comprehension test, which consists of about 100,000 pairs of questions and answers based on more than 500 articles from the virtual encyclopedia Wikipedia.
Although the examples we have seen do not involve the replacement of machines by humans and are framed in the field of information technologies, new applications will come, such as autonomous vehicle driving, the popularization of which will mark a before and after in the use of AI.
There are predictions about the time when machines will be able to supplant and even surpass the intelligence of human beings. According to futurist scientist and author Ray Kurtzweil, Google's Director of Engineering since 2012, by 2045 machines will be able to invent and improve themselves, in what he calls the beginning of the singularity era.
Although in the opinion of scientists, Kurzweil's forecasts are very optimistic. According to a survey of 350 AI experts, they estimate that 45 years is the average time (with a 50% probability) for AI to be able to do all our activities better than ourselves. But there are interesting differences depending on the origin of the experts consulted, because the Asian researchers reduce this timeframe to 30 years while the Americans believe that it will not happen for another 74 years.
ETHICS AND REGULATION OF ARTIFICIAL INTELLIGENCE
The evolution of AI will cause us to reflect and collaborate to preserve our ethical principles and to create new laws that regulate a new connected society, which does not have a negative impact on democracy.
In this legal field, now known as Legacy IT or Legal-Tech, interesting public initiatives are already emerging, such as the publication by the European Union Agency for Cybersecurity (ENISA) of a report on cybersecurity challenges in the artificial intelligence ecosystem, where they analyze some policy initiatives and offer technical guidelines on cybersecurity in artificial intelligence environments.
In terms of ethical principles, the role of the human sciences will be essential. Even in the early days of the big tech companies, companies like Facebook and Google hired philosophers to analyze the effects of technology on our lives. And these will undoubtedly become greater and greater.
On the other hand, initiatives are emerging from the private sector, aimed at preserving our ethical and moral principles in a world with artificial intelligence. This is the case of OdiseIAan Observatory that analyzes and studies the social and ethical impact of artificial intelligence on society.
In Spain, the State Administration has also expressly addressed AI. Specifically, they have created a National Strategy for Artificial Intelligence. And among its objectives is the establishment of an ethical and regulatory framework that guarantees the protection of individual and collective rights, with social welfare and sustainability as the backbone.
INTERNATIONAL REFERENCES LEADING THE WAY IN ARTIFICIAL INTELLIGENCE
Finally, we highlight several references that we will follow closely because their international scope will lead the way to new AI applications:
Miguel Ángel Povedano
Creating amazing bespoke holiday experiences
1yInteresting insight into a rapidly changing environment Miguel