How AI technology and creativity are intertwined in marketing
Big data technology has helped many companies improve their efficiency and solve some of the major challenges they have encountered in recent years. More and more businesses are investing in artificial intelligence to improve their business models. Therefore, it is expected that the market value of artificial intelligence technology will exceed US$420 billion by 2028. The survey shows that 90% of top companies use artificial intelligence, although only 37% of companies use it.
#One of the most important applications of artificial intelligence is marketing. Artificial intelligence can help automate many marketing practices and allow companies to get more value from their efforts.
But does artificial intelligence come at a cost? Will it force companies to be less creative? The answer is no. Artificial intelligence and creativity can go hand in hand.
Artificial intelligence and natural creativity should not replace each other
Every company’s goal is to ensure that its brand can stay fresh in people’s minds. As more and more companies are looking for different ways to reach people and improve their brand image, there is often a conflict between two important tools – technology and creativity.
How do you know when to rely more on AI technology instead of your natural creativity? Is there a line of convergence where two concepts can meet?
Smart companies realize that AI technology and creativity can actually complement each other in marketing. This is one of the most important ways they are using AI in their business.
Artificial intelligence technology and creativity are a perfect match
We have previously discussed whether artificial intelligence will replace human designers. As Adobe points out, this discussion has been going on for years, but that's not the case. It does not replace the need for creativity. In fact, AI allows design professionals to free up their time on mundane tasks and allows them to focus more on creative tasks.
Marketing technology has become a very important part of how companies reach their customers. With the help of artificial intelligence technology, ads can be customized and target your audience with incredible precision. Likewise, customers are busy today. To attract them, you need to make your ads highly relevant and engaging. You need to find creative ways to get them to come to you—an advertising strategy that makes it easy for you to stand out.
Many artificial intelligence tools enable the quality of marketing creative to be higher than ever before. For example, Canva, Photoshop, and other design platforms use AI to help isolate subjects in photos when removing backgrounds or performing other tasks. This helps designers create higher quality silhouettes to use in their marketing designs. AI can also track certain tasks and then automate them to batch produce creatives. PhotoShop and Illustrator have "automation" tools that enable this through AI.
Additionally, AI can help companies test their designs more easily. They can create simulated environments to see how their designs will look on different devices.
It’s also worth noting that customers are now using multiple devices. This means you need to ensure your creativity moves seamlessly across all platforms and devices. Add to that the need to effectively optimize for speed and efficiency, and it's easy to see why technology and creativity are critical to the success of your efforts.
Should there be a conflict between artificial intelligence technology and creativity in marketing tasks?
Smart, creative and engaging. While these may sound personal, these terms also describe the future of advertising and brand exposure. Advertising is now more personal and interesting than ever before. This requires increased creativity in how these ads are produced.
Artificial intelligence technology also comes in handy to help brands target their audiences effectively. For example, today, companies can easily leverage various technologically advanced tools like Adlook to leverage the platform’s superior technology to create optimized campaigns and target more people more effectively through artificial intelligence.
The combination of artificial intelligence and creativity means more opportunities for companies to reach their audiences. However, this also means the stakes are much higher. If your brand can "match" your target audience, you have the chance to make a great first impression. Anything below this and you risk losing that customer.
So, which one should you pay more attention to? Should creativity be more important, or should we focus more on technical optimization?
The best brand marketers understand that this conflict shouldn’t even exist. Creativity and technology can easily work hand in hand, allowing you to overcome the challenges you may face while working on each concept.
Optimal positioning meets well-crafted storytelling
By combining technology and creativity, brands can enjoy the best of both worlds. You can harness the power of technology to find your target market, while creativity ensures you can create eye-catching and engaging ads that will instantly capture your target audience's attention.
The current direction of branding campaigns is more focused on prioritizing focused engagement over general brand exposure. Likewise, brands are now rethinking how they connect with their audiences. Once you've successfully put your brand in front of people, you need to make sure you're delivering the right, most relevant message.
To do this, start by leveraging the platforms and technologies available to you. Examples of Adlook and its ContextAI©️ have been pointed out to appeal to their target audience. At the same time, technology tools help brands measure and track results so they know what’s working and what’s not.
Now that you have the right technology, the next step is to create great content. This is where creativity comes in. Today’s advertisers need to use creative formats and features in innovative ways to reach more people and bring their brands to life. Your customers want more than static images and ads that last a few minutes without really engaging them. If you don't provide these, your ability to reach and grow brand awareness will be significantly affected.
To solve this problem, creatives can take advantage of the digital environment and incorporate it into their storytelling. With new display ad formats, brands can now build high-quality, beautiful content through video and other channels. They can be expanded to add more flexibility to their ads without having to make too many changes.
Make consumers work for you
Another interesting point for marketers to know is that consumers themselves can easily help build the right ad content. To make your content engaging, give your consumers a role in their own experience.
Rather than just delivering an experience to them, build interactive features and ways to let users choose their own experience. At the end of the day, the important thing to note is that no one knows how to satisfy your customers' needs as well as the customers themselves. So give them as much variety as possible and let them choose how they want to interact with you.
Finally, remember to build your campaign with the long-term in mind. Create engaging experiences that make your customers feel like they belong to a community—a community they can be proud of and want to continue engaging with. They feel more invested in the brand – and not just during the ad experience. Just like that, your client becomes a freelance marketer.
Conclusion: Fusion of AI and Creativity
Both AI technology and creativity can play a role in driving brand awareness. While it's easy to believe that the two should be mutually exclusive, that's not the case. Marketers need to utilize all available technology to create the best positioning and understand their audience, while creativity ensures they can tell the right story and engage those audience members.
The above is the detailed content of How AI technology and creativity are intertwined in marketing. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Undress AI Tool
Undress images for free
Clothoff.io
AI clothes remover
AI Hentai Generator
Generate AI Hentai for free.
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
Bytedance Cutting launches SVIP super membership: 499 yuan for continuous annual subscription, providing a variety of AI functions
Jun 28, 2024 am 03:51 AM
This site reported on June 27 that Jianying is a video editing software developed by FaceMeng Technology, a subsidiary of ByteDance. It relies on the Douyin platform and basically produces short video content for users of the platform. It is compatible with iOS, Android, and Windows. , MacOS and other operating systems. Jianying officially announced the upgrade of its membership system and launched a new SVIP, which includes a variety of AI black technologies, such as intelligent translation, intelligent highlighting, intelligent packaging, digital human synthesis, etc. In terms of price, the monthly fee for clipping SVIP is 79 yuan, the annual fee is 599 yuan (note on this site: equivalent to 49.9 yuan per month), the continuous monthly subscription is 59 yuan per month, and the continuous annual subscription is 499 yuan per year (equivalent to 41.6 yuan per month) . In addition, the cut official also stated that in order to improve the user experience, those who have subscribed to the original VIP
Context-augmented AI coding assistant using Rag and Sem-Rag
Jun 10, 2024 am 11:08 AM
Improve developer productivity, efficiency, and accuracy by incorporating retrieval-enhanced generation and semantic memory into AI coding assistants. Translated from EnhancingAICodingAssistantswithContextUsingRAGandSEM-RAG, author JanakiramMSV. While basic AI programming assistants are naturally helpful, they often fail to provide the most relevant and correct code suggestions because they rely on a general understanding of the software language and the most common patterns of writing software. The code generated by these coding assistants is suitable for solving the problems they are responsible for solving, but often does not conform to the coding standards, conventions and styles of the individual teams. This often results in suggestions that need to be modified or refined in order for the code to be accepted into the application
Seven Cool GenAI & LLM Technical Interview Questions
Jun 07, 2024 am 10:06 AM
To learn more about AIGC, please visit: 51CTOAI.x Community https://www.51cto.com/aigc/Translator|Jingyan Reviewer|Chonglou is different from the traditional question bank that can be seen everywhere on the Internet. These questions It requires thinking outside the box. Large Language Models (LLMs) are increasingly important in the fields of data science, generative artificial intelligence (GenAI), and artificial intelligence. These complex algorithms enhance human skills and drive efficiency and innovation in many industries, becoming the key for companies to remain competitive. LLM has a wide range of applications. It can be used in fields such as natural language processing, text generation, speech recognition and recommendation systems. By learning from large amounts of data, LLM is able to generate text
Can fine-tuning really allow LLM to learn new things: introducing new knowledge may make the model produce more hallucinations
Jun 11, 2024 pm 03:57 PM
Large Language Models (LLMs) are trained on huge text databases, where they acquire large amounts of real-world knowledge. This knowledge is embedded into their parameters and can then be used when needed. The knowledge of these models is "reified" at the end of training. At the end of pre-training, the model actually stops learning. Align or fine-tune the model to learn how to leverage this knowledge and respond more naturally to user questions. But sometimes model knowledge is not enough, and although the model can access external content through RAG, it is considered beneficial to adapt the model to new domains through fine-tuning. This fine-tuning is performed using input from human annotators or other LLM creations, where the model encounters additional real-world knowledge and integrates it
To provide a new scientific and complex question answering benchmark and evaluation system for large models, UNSW, Argonne, University of Chicago and other institutions jointly launched the SciQAG framework
Jul 25, 2024 am 06:42 AM
Editor |ScienceAI Question Answering (QA) data set plays a vital role in promoting natural language processing (NLP) research. High-quality QA data sets can not only be used to fine-tune models, but also effectively evaluate the capabilities of large language models (LLM), especially the ability to understand and reason about scientific knowledge. Although there are currently many scientific QA data sets covering medicine, chemistry, biology and other fields, these data sets still have some shortcomings. First, the data form is relatively simple, most of which are multiple-choice questions. They are easy to evaluate, but limit the model's answer selection range and cannot fully test the model's ability to answer scientific questions. In contrast, open-ended Q&A
SOTA performance, Xiamen multi-modal protein-ligand affinity prediction AI method, combines molecular surface information for the first time
Jul 17, 2024 pm 06:37 PM
Editor | KX In the field of drug research and development, accurately and effectively predicting the binding affinity of proteins and ligands is crucial for drug screening and optimization. However, current studies do not take into account the important role of molecular surface information in protein-ligand interactions. Based on this, researchers from Xiamen University proposed a novel multi-modal feature extraction (MFE) framework, which for the first time combines information on protein surface, 3D structure and sequence, and uses a cross-attention mechanism to compare different modalities. feature alignment. Experimental results demonstrate that this method achieves state-of-the-art performance in predicting protein-ligand binding affinities. Furthermore, ablation studies demonstrate the effectiveness and necessity of protein surface information and multimodal feature alignment within this framework. Related research begins with "S
Five schools of machine learning you don't know about
Jun 05, 2024 pm 08:51 PM
Machine learning is an important branch of artificial intelligence that gives computers the ability to learn from data and improve their capabilities without being explicitly programmed. Machine learning has a wide range of applications in various fields, from image recognition and natural language processing to recommendation systems and fraud detection, and it is changing the way we live. There are many different methods and theories in the field of machine learning, among which the five most influential methods are called the "Five Schools of Machine Learning". The five major schools are the symbolic school, the connectionist school, the evolutionary school, the Bayesian school and the analogy school. 1. Symbolism, also known as symbolism, emphasizes the use of symbols for logical reasoning and expression of knowledge. This school of thought believes that learning is a process of reverse deduction, through existing
SK Hynix will display new AI-related products on August 6: 12-layer HBM3E, 321-high NAND, etc.
Aug 01, 2024 pm 09:40 PM
According to news from this site on August 1, SK Hynix released a blog post today (August 1), announcing that it will attend the Global Semiconductor Memory Summit FMS2024 to be held in Santa Clara, California, USA from August 6 to 8, showcasing many new technologies. generation product. Introduction to the Future Memory and Storage Summit (FutureMemoryandStorage), formerly the Flash Memory Summit (FlashMemorySummit) mainly for NAND suppliers, in the context of increasing attention to artificial intelligence technology, this year was renamed the Future Memory and Storage Summit (FutureMemoryandStorage) to invite DRAM and storage vendors and many more players. New product SK hynix launched last year
