Generative AI: Fight and Win the Battle for Creative Innovation

Oct 29, 2024

Generative AI: Fight and Win the Battle for Creative Innovation

Generative AI or GenAI is a specific type of artificial intelligence that helps to write just any content types you can imagine. Easily and efficiently. 

This could not help but affect the business sphere, and many companies already saw tremendous growth, all due to the power of AI. It would not be an exaggeration to say that generative AI is the new productivity frontier. 

According to the recent McKinsey report, generative AI helped to attract $2.6- $4.4 trillion in productivity growth. Two-thirds of IT leaders believe it should be their main priority within the next 16 months. 

So, what to wait? Read our blog post and find out:

  • The role of generative AI in marketing, product development, and design
  • How to implement generative AI in your business

Generative AI and marketing

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Perhaps, the most significant benefit of generative AI in marketing is that this technology can create very personalized content. Just imagine the right content attracted the right customer at the right time. Chances that he will make a purchase skyrocket.

In the lives of professionals, content creation has been considered one of the most time-consuming activities. Generative AI reduces hours, days, and weeks to mere minutes in preparing highly targeted content for various audiences. 

According to Semrush, marketers need less than an hour to write a long-read. This can be compared to two-three hours devoted to writing this long-read without the help of the smart assistant. 

 

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Of course, the use cases of generative AI in marketing don't just stop at copywriting. Generative AI is also improving customer engagement via AI-powered chatbots and virtual assistants.

These can interact with customers in real time through answering queries, recommending products, and resolving issues. Systems of this kind generate responses like humans, improving customer satisfaction while reducing the load on customer service teams.

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Generative AI and design

In design, generative AI helps produce elements such as images, logos, or videos. It develops new, stunning, and visually appealing concepts. 

Just look at the pictures below. Brightspace achieved 70% time savings (compared to the traditional ad design approaches) by creating a design with the help of AI. 

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Another example from IPG showed that the company spent $15,000 less on developing a new creative style. In the end, they got 14 brand illustrations and a series of stickers. With zero revisions!

Generative AI and design pets.png

How to Implement Generative AI in Your Business

Generative AI is being implemented as a game-changer for many enterprises across a wide swath of industries. This is what the key steps look like:

1. Setting Up Goals and Objectives

  • Identify the specific problem: Determine which of the overall business challenges can be solved with generative AI. The most common use cases relate to content creation, customer service, product development, or data analysis.
  • Set measurable KPIs: Of course, define the key performance indicators that keep track of the success of your AI implementation.Do you want to increase customer satisfaction by 20%? Or reduce content creation cost by 30%? It’s not a problem!

2. Selecting Suitable Tools and Platforms

  • Evaluate existing tools: Assess your current technology stack to determine if any existing tools can be integrated with AI.
  • Model selection: Choose a generative AI model suitable for your very purpose. Take into consideration the model size, training data, and capability.
  • Explore cloud-based platforms: Cloud-based software provides a wide range of AI services and tools with Google Cloud AI, Amazon SageMaker, and Microsoft Azure.

3. Building an Implementation Strategy

  • Data Preparation: Clean data should be prepared for training your AI model, which may involve cleansing, labeling, and organization.
  • Model Development: Develop and tune your AI model with data scientists or AI engineers.
  • Integration: Integrate the AI model into the existing system and workflows.
  • Testing and refinement: Full testing of the AI model to be sure that expected performance is achieved; adjusting where appropriate.

Successful Case Studies

Coca-Cola: Revolutionizing Marketing with AI-Generated Content

Consider one of the most renowned brands in the world: Coca-Cola. Generative AI was fundamental in giving a new feel to Coca-Cola's marketing and adding a personal touch to the same. 

With all those uniquely crafted ads made with the help of AI, Coca-Cola enjoyed far greater customer engagement and interaction with their brand. The company reduced the time taken to craft the ads and thereby ensured a quicker go-to-market strategy without compromising on the quality of creativity.

Impact:

  • Enhanced customer personalization
  • Improved ad performance and brand engagement
  • Streamlined content creation process

Sephora: Elevating Customer Experience with AI-Powered Assistants

Sephora, a global beauty retailer, integrated generative AI into its customer service strategy by deploying AI-powered virtual assistants. These AI tools interact with customers in real time, answering product queries, offering personalized beauty recommendations, and resolving issues efficiently. 

By using AI-generated responses that mimic human interactions, Sephora improved customer satisfaction, reduced service times, and freed up human agents for more complex inquiries.

Impact:

  • Increased customer satisfaction
  • Reduced response time by 40%
  • Enhanced operational efficiency in customer service

Brightspace: Time-Saving AI-Driven Design

Brightspace, a digital learning company, employed generative AI to streamline its design process. By using AI tools for ad and promotional material design, the company reduced design time by 70% compared to traditional methods. 

AI-generated visuals allowed Brightspace to create more compelling, data-driven designs while maintaining brand consistency across multiple platforms.

Impact:

  • 70% reduction in design time
  • Increased visual creativity
  • Enhanced campaign adaptability and speed

Summing up…

Generative AI is a powerful tool to fight and win in the modern competitive landscape. Its future is bright and promising, so consider it simply a new opportunity for your business to be more productive and attractive for customers. 

At InnovationFeel, we believe in the power of technologies and their power to make an impact. We create cutting-edge software by merging deep expertise with a tailored approach to make sure your unique needs are met and drive real value.

Ready to supercharge your business with generative AI? Get in touch for a personalized consultation, and let's get rock together!

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