Voici comment vous pouvez vous préparer à la prochaine vague d’intelligence artificielle dans le marketing.

I want to talk about the process of forming any artificial intelligence. And finally, I will say about marketing artificial intelligence, to prepare any type of artificial intelligence, we need a large and dynamic database and the experience of customers in that area, so that they form a portal that can compare activities. Therefore, the high skill of data analysis and data science is very important in creating artificial intelligence. The same is true in marketing, we must know the actors of the marketing industry well and prepare a strong database of them, the market, competitors, customers, their behavior, etc.

Start with basics like what is Machine learning, Deep Learning and NLP ( Natural Language Programming). Once you got a basic idea on these topics, Play with Ai tools like ChatGPT, Midjourney and become pro in using such tools and then learn few case studies on AI and its application in Marketing. Learn how businesses are using Ai to improve their marketing campaigns and how they are increasing their productivity. Once you have learned the above things then you will have a basic knowledge on Ai and its role in marketing.

The integration of GenAI tools into operational practice offers enormous productivity gains in the long term through automation and augmentation. Today this is (still) associated with risks and costs. When it comes to AI in Marketing, there seems to be no alternative to taking the risk of paying individual "learning fees" within your own organization based on your own processes.

A IA no marketing capacita análises avançadas de dados para insights estratégicos precisos, usando aprendizado de máquina, processamento de linguagem natural e análise preditiva. Integrar essas tecnologias permite personalização eficaz das campanhas, melhorando a relevância e a eficiência operacional, além de antecipar tendências e comportamentos do consumidor, impulsionando o crescimento e a fidelidade à marca.

Once you are good with AI basics, then the second step is updating the skill. Do some certifications on LinkedIn Learning or complete Andrew NG courses in course era. Start learning more about Ai by following blogs and vlogs of top AI influencers like Nigel Willson, Andrej Karpathy and gain knowledge on Ai. Explore more Ai tools in your industry, by searching in Product Hunt, thereisaiforthat website and know more about latest Ai tools in the market and take the free trial and explore that tools to gain more knowledge on Ai.

Hier the curation of the right consulting partner with whom to develop the AI strategy is crucial. AI tools are as good as the available data is; a solid data strategy is paramount.

Leadership is part of the strategy! Only the active and exemplary adoption (introduction) of such a controversial technology as GenAI with such uncertain effects can become a success story. This should be one of the tasks of leadership.

The sensitivities and concerns of your own workforce must be carefully considered as a key success factor. AI might show new developments and impact at the moment, but for most of the workforce it is yet another upskilling challenge in a long series. Change fatigue should be taken seriously. A cultural update should go hand in hand with the tech update.

To prepare for the surge of artificial intelligence (AI) in marketing, start by gaining a solid understanding of AI technologies and their applications in the field. There are many free online courses which can introduce you to the basics of AI and marketing. Focusing on developing skills that complement AI, like creativity, strategic thinking, and customer focus. But the crux is by understanding AI and staying human-centered, you'll be well-positioned for the future of marketing. Because AI will make your work easier, simpler and time efficient but the creative HEAD is YOURS, you need to brush it regularly.

When it comes to AI in marketing, ethics should be a cornerstone of how we operate. It's about being upfront with customers about how their data is used, ensuring fairness in how AI algorithms make decisions, and respecting privacy at every step. We need clear policies that prioritize transparency and accountability, so consumers feel confident and respected in their interactions with our brand. By setting high ethical standards, we not only build trust but also pave the way for responsible innovation in AI-driven marketing.