December 9, 2024
Did you recently come to know about generative AI? You’re not alone. Hundreds of thousands of young minds have come to know about generative AI after the introduction of ChatGPT. Since then, it has started finding its footing in the mainstream.
Several well-known firms like Forbes, Gartner, and McKinsey have made some bold predictions about the future of generative AI. Gartner projects that 75% of businesses will use generative AI to create synthetic customer data for testing by 2026, up from less than 5% in 2023. McKinsey did a survey in mid-2024 and found out that 65% of organizations are regularly using generative AI, almost twice as many as just 10 months earlier.
These numbers are quite interesting and raise the question, “What is so special about generative AI?” To find an answer, we will explore the top 10 generative AI applications and examples across 5 different industries. It will help you understand how you can use generative AI in your specific industry.
Generative AI, or Gen AI, is a kind of artificial intelligence. It helps users do multiple tasks, such as generating various types of content like texts, audio, and visuals, summarizing content, and improving customer service as per the user prompts.
Generative AI relies on foundation models to perform these and many other tasks. These models understand user input and provide the best possible responses. You can also train these models on the datasets relevant to your business.
Top 5 Generative AI Applications Across Industries
Generative artificial intelligence can improve productivity and help people make smarter choices. This is true not only for the individual level but also for the industrial level. However, the choice of the top AI consulting firms matters the most!
That being said, let’s get straight to the core topic and learn how you can use generative AI applications across diverse industries.
Generative AI use cases in healthcare can change the way healthcare professionals carry out processes. It’s like giving healthcare professionals an extra pair of hands to manage administrative hassles and focus on high-value tasks.
Imagine interpreting complex scans like MRIs or CTs in no time. AI works alongside radiologists to detect patterns and spot anomalies for more accurate insights. This doesn’t just save time—it can save lives. By reducing errors and speeding up diagnostics, AI takes medical imaging fifteen years ahead of time.
Drug discovery is one of the most common generative AI use cases for pharmaceuticals. Gen AI is shaking up drug discovery big time. It takes years of research down to months. AI predicts how molecules will interact, helping scientists zero in on promising drugs faster and more accurately. This means fewer failed trials and better treatments will reach patients sooner. Thanks to AI, the process is less guesswork and more groundbreaking science every step of the way.
No one can deny the crucial role that generative AI plays in the advertising and marketing industry. The use of generative AI tools in marketing and advertising is greater today than ever. A study from McKinsey reveals that nearly 90% of marketers are expected to use gen AI solutions in the next two years.
Generative AI application examples include content creation. And this is probably what generative AI is best at. Now, you don’t have to spend thinking of an idea and then writing content about it to gain an audience. It does all this in a fraction of the time, and that too with empathy in tone. It’s like having a creative roommate who never runs out of ideas.
Marketing is all about targeting a specific group of customers and converting them into customers. But targeting the right audience for a specific product isn’t as easy as it seems! That’s when generative AI comes in as a superhero to take marketers out of trouble.
Customer segmentation is one of the most common applications of generative AI in marketing. Gen AI solutions analyze piles of customer data and their purchasing and browsing history to show them exactly the products they will love buying without a second thought.
Users spend too much time consuming content that they enjoy watching or listening to. Generative AI helps generate content that matches user preferences. Exciting? Well, here are some more use cases and applications of generative AI in the media and entertainment industry that you need to know.
Generative AI is shaking things up in scriptwriting. It’s like having a creative co-writer who is always there to help you! AI helps writers generate plot twists, refine dialogue, and suggest creative character arcs. Think of it as a genius who never shies away from any challenge. Whether you are an influencer who wants to tell your LinkedIn followers a story or a brand that wants to create emotional connections with its audience, you know what you need!
By now, you might have realized how, in healthcare and marketing fields, gen AI applications are saving time and easing the burden on its users. And guess what? It’s doing the same awesome stuff in audio and visual content creation, too. It helps you create stunning visuals or soundtracks in minutes instead of weeks! Generative AI tools help artists and creators design eye-popping animations and realistic graphics with ease.
Retail and e-commerce industries are probably using generative AI technology the most. Gen AI in e-commerce is all about making users happy and getting them to shop more. Here is how retailers are using generative artificial intelligence:
Don’t we all ask for good customer support whenever we require it? Generative AI applications in the retail and e-commerce industry include providing exceptional customer service. AI chatbot solutions help provide customer support anytime, anywhere! They can handle queries, track orders, and resolve issues in seconds. It’s like having a 24/7 support team that never falls asleep.
Generative AI predicts demand, optimizes routes, and manages inventory—all with pinpoint accuracy! It does so by analyzing vast datasets to forecast trends and prevent stockouts or overstocking. It’s like having a crystal ball for logistics. Businesses save money, customers get faster deliveries, and everything runs smoother than ever before with generative AI.
The level of creativity and realism that generative AI brings to the gaming industry is hard to ignore. Characters aren’t just static anymore—they breathe life into the games. Their personalities, their reactions, and even the way they look are portrayed in ways that make everything feel alive.
Generative AI application examples in the gaming sector include character building. Gen AI makes creating characters with depth and precise details easier for game developers. It allows developers to build heroes and villains with such killer details that will leave every gamer in awe. Generative AI helps games look closer to nature and provide more immersive experiences.
Dynamic storytelling gets a massive upgrade with generative AI. Gaming becomes more interactive, engaging, and full of surprises with AI-powered storytelling. Every decision you make along the way matters—your actions shape events, characters, and even the endings. It’s like having a game world that listens and responds to you.
Here is a list of some of the most popular and best generative AI apps that you might be using without even realizing it:
Generative AI is an all-in-one solution that you need for your business to generate empathetic content and enhance productivity. The applications of generative AI aren’t limited to just the above-mentioned industries. Almost every sector can benefit from this extraordinary technology in one way or another.
If you are curious to learn about how generative AI will help your business, don’t hesitate to get in touch with generative AI experts at Xeven Solutions. We have been creating business value for over a decade for our global clients with affordable and secure AI solutions.
About the Author: Taimoor Asghar
Taimoor Asghar is a Technical Content Writer with a passion for emerging technologies, continuously keeping himself updated with the latest industry and technological trends. He ensures that complex concepts are translated into informative pieces, catering to both experts and novices. He crafts engaging narratives through blogs, articles, and how-to guides that captivate audiences and inspire them to delve deeper into the ever-evolving world of tech innovation.
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