How can the implementation of artificial intelligence, Big Data Analytics and other Industry 4.0 technologies help in the process of automated generation of marketing innovations applied on online social media sites?
In recent years, the application of new Industry 4.0 technologies in the process of generating marketing innovations applied to online social media portals has been on the rise. For the purpose of improving marketing communication processes, including advertising campaigns conducted on social media portals and promoting specific individuals, brands of companies, institutions, their product offers, services, etc., sentiment analysis of Internet users' activity in social media is conducted, including analysis of changes in social opinion trends, general social awareness of citizens by verifying the content of banners, posts, entries, comments, etc. entered by Internet users in social media using computerised, analytical Big Data Analytics platforms. I have described this issue in my articles following their publication on my profile of this Research Gate portal. I invite you to collaborate with me on team research projects conducted in this area. Currently, an important developmental issue is also the application of Big Data Analytics platforms used to analyse the sentiment of Internet user activity in social media, which uses new technologies of Industry 4.0, including, among others, artificial intelligence, deep learning, machine learning, etc. Besides, the implementation of artificial intelligence, Big Data Analytics and other Industry 4.0 technologies can help in the process of automated generation of marketing innovations applied on online social media portals. An important issue in this topic is the proper construction of a computerised platform for the automated generation of marketing innovations applied on online social media portals, in which the new generations of Artificial Intelligence, Big Data Analytics and other Industry 4.0 technologies are used.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can the implementation of artificial intelligence, Big Data Analytics and other Industry 4.0 technologies help in the process of automated generation of marketing innovations applied to online social media portals?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
Artificial Intelligence & Big data analytics have ability to deal with gigantic data management. Its algorithms gives very good predictions on business and marketing data. Through this future predictions, we will do some innovations on online marketing field to develop business in appropriate manner.
Basically, using AI and Big Data can help businesses be smarter about their marketing so they can reach more people and make more sales online. AI and Big Data Analytics can help businesses come up with cool new marketing ideas online. For example, AI can study how customers behave and what they like, so businesses can make ads and content that they'll be more likely to enjoy. Big Data can also help businesses understand what trends are popular and what customers might want in the future.
AI can also help businesses interact with customers better, like with chatbots that can answer questions or solve problems right away.
Dear Dariusz Prokopowicz , the technologies referred to enhance i.e. enable what is coined as the long tail marketing strategy, enabling a business to realize significant profits by selling low volumes of harder-to-find items to many customers, instead of only selling large volumes of a reduced number of popular items. Put in other words businesses are able to exploit the network-effect from a two-sided-perspective. KR Rob
The implementation of artificial intelligence and Big Data Analytics can help in the process of generating online marketing innovations by providing insights into customer behavior, preferences, and trends. This can help marketers create more targeted and personalized campaigns that are more likely to be successful. Additionally, AI and Big Data Analytics can help marketers automate certain processes, such as customer segmentation and content creation, which can save time and resources.
Agusthiyar Ramu unfortunately I applied this association "Artificial Intelligence & Big data" in :
Conference Paper ESSAY ON BIG DATA AND STOCHASTIC MODEL copyright@Amin ELSALEH
in particular "How SPDF (Standard Process Description Format) may produce a universal engine to run the stochastic model ?"
I said unfortunately because if someone tried to understand
this essay, we could have avoided a dark fate of humanity,
but it is never too late.
While your idea for using SPDF as a universal engine to run stochastic models is valid, it's not directly relevant to the comment that was made. The comment discusses the potential benefits of using artificial intelligence and big data analytics in business and marketing. Still interesting essay
Mudar Almadi You are absolutely right, however the "big data"
concept does not seem to me to be used in humanitarian objectives
such as climate change and how to avoid the gradual
disappearance of plant and animal species.
As for the objective "help in the process of generating online
marketing innovations?" it seems to me that it could be achieved
with different tools put in place by the Chinese economic power,
do not ask me what are these tools used in their project the
silk roads.
The implementation of artificial intelligence (AI) and Big Data Analytics (BDA) can help in the process of generating online marketing innovations in several ways:
Personalized Marketing: AI and BDA can help businesses understand their customers' needs and preferences through the analysis of large volumes of data. By analyzing customer data such as browsing history, purchase history, and social media behavior, businesses can create personalized marketing campaigns that are tailored to each customer's individual preferences.
Predictive Analytics: AI and BDA can also help businesses predict future customer behavior and market trends by analyzing past data. By identifying patterns in customer behavior and preferences, businesses can make informed decisions about future marketing campaigns and product development.
Automation: AI can automate many tasks that were previously done manually, such as data analysis and customer segmentation. This frees up time for marketers to focus on more creative tasks such as ideation and innovation.
Optimization: AI and BDA can help businesses optimize their marketing campaigns by analyzing data in real-time and making automatic adjustments to improve performance. This can lead to higher conversion rates and more efficient use of marketing resources.
New Product Development: By analyzing customer data, businesses can identify gaps in the market and develop new products and services that meet customers' needs. AI can also help with the ideation process by generating new product ideas based on customer preferences and market trends.
In summary, the implementation of AI and BDA in online marketing can help businesses generate innovative marketing ideas, increase customer engagement, and improve the overall performance of their marketing campaigns.
At present, the critical problem of automatic generation of the marketing procedures is solved by systematizing and formalizing a large set of data, carried out with the help of algorithmic descriptions of recognition procedures and transformations of messages to forms accepted in a given information processing system.
However, the question of processing messages based on meaning cannot be set in any programmable system since they cannot behave like a person.
Additionally, modern marketing requires considering the psychological characteristics of the target auditory, sales markets, and the economic condition of the target auditory.
This level of qualification is practically inaccessible to programmable systems.
Only automated artificial subjective information processing systems can cope with this non-trivial task in the best way since they will understand the meaning and importance of the information received and act accordingly to their own subjective experience. Such systems can be created in two to three years with the support of marketers who wish to obtain the exclusive right to use them in their work. [email protected]
Artificial intelligence (AI) and big data analytics are increasingly being used in online marketing to generate innovations that can help businesses improve their marketing strategies and outcomes. Here are some ways in which AI and big data analytics can contribute to online marketing innovations:Personalization: AI and big data analytics can help businesses to analyze data on customer behavior and preferences to create more personalized marketing campaigns. This can include targeted recommendations, personalized messaging, and customized offers that are more likely to resonate with customers.Predictive modeling: By analyzing large datasets, AI and big data analytics can help businesses to identify patterns and make predictions about customer behavior. This can help businesses to anticipate customer needs and preferences, and to tailor their marketing strategies accordingly.Real-time optimization: AI and big data analytics can also enable businesses to optimize their marketing strategies in real-time. By analyzing data in real-time, businesses can adjust their campaigns to maximize effectiveness and capitalize on emerging trends and opportunities.Marketing automation: AI and big data analytics can also be used to automate certain marketing tasks, such as lead generation, email marketing, and social media management. This can help businesses to streamline their marketing processes and improve efficiency.Insights and analytics: Finally, AI and big data analytics can provide businesses with valuable insights and analytics that can help them to better understand their customers and their marketing campaigns. By analyzing data on customer behavior and marketing performance, businesses can identify areas for improvement and develop more effective marketing strategies.Overall, the implementation of artificial intelligence and big data analytics can help businesses to generate online marketing innovations by providing them with the tools and insights they need to better understand their customers and develop more effective marketing strategies.
Artificial intelligence (AI) and big data analytics are increasingly being used in online marketing to generate innovations that can help businesses improve their marketing strategies and outcomes. Here are some ways in which AI and big data analytics can contribute to online marketing innovations:Personalization: AI and big data analytics can help businesses to analyze data on customer behavior and preferences to create more personalized marketing campaigns. This can include targeted recommendations, personalized messaging, and customized offers that are more likely to resonate with customers.Predictive modeling: By analyzing large datasets, AI and big data analytics can help businesses to identify patterns and make predictions about customer behavior. This can help businesses to anticipate customer needs and preferences, and to tailor their marketing strategies accordingly.Real-time optimization: AI and big data analytics can also enable businesses to optimize their marketing strategies in real-time. By analyzing data in real-time, businesses can adjust their campaigns to maximize effectiveness and capitalize on emerging trends and opportunities.Marketing automation: AI and big data analytics can also be used to automate certain marketing tasks, such as lead generation, email marketing, and social media management. This can help businesses to streamline their marketing processes and improve efficiency.Insights and analytics: Finally, AI and big data analytics can provide businesses with valuable insights and analytics that can help them to better understand their customers and their marketing campaigns. By analyzing data on customer behavior and marketing performance, businesses can identify areas for improvement and develop more effective marketing strategies.Overall, the implementation of artificial intelligence and big data analytics can help businesses to generate online marketing innovations by providing them with the tools and insights they need to better understand their customers and develop more effective marketing strategies.
Data mining is a subfield of research in AI that is a suitable tool for this purpose,
because its ability to intelligently extract surprizing knowledge from huge data and improve the performace of many business disciplines.
Data mining is a subfield of research in AI that is a suitable tool for this purpose,
because its ability to intelligently extract surprizing knowledge from huge data and improve the performace of many business disciplines.
AI and Big Data analytics have revolutionized the way businesses approach online marketing. By leveraging these technologies, businesses can gain a deeper understanding of their customers and create more effective marketing strategies.
One of the primary benefits of AI and Big Data analytics is their ability to collect and analyze large amounts of data from various sources, including social media, website analytics, and customer feedback. This data can provide valuable insights into customer behavior, preferences, and purchasing patterns. With this information, businesses can create targeted marketing campaigns that are tailored to their customers' needs and interests.
Moreover, AI and Big Data analytics can help businesses personalize their marketing efforts. By analyzing customer data, businesses can create personalized recommendations, offers, and promotions that are more likely to resonate with individual customers. This personalized approach can help businesses build stronger relationships with their customers and increase customer loyalty.
Additionally, AI and Big Data analytics can help businesses optimize their marketing efforts by identifying trends and patterns in customer behavior. For example, by analyzing customer data, businesses can identify the most effective marketing channels, content types, and messaging strategies for their target audience. This information can help businesses refine their marketing strategies and improve their return on investment.
The ultimate way is to switch from the development of programmable systems to subjective systems.
Subjective systems will understand what is going on and behave accordingly.
Their properties allow processing information of any kind and for any purpose without needing of the algorithmic description of their behavior.
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