Blog_Banner_Asset
    Homebreadcumb forward arrow iconBlogbreadcumb forward arrow iconArtificial Intelligencebreadcumb forward arrow iconGenerative AI in Practice: Real-World Use Cases and Success Stories

Generative AI in Practice: Real-World Use Cases and Success Stories

Last updated:
16th Aug, 2023
Views
Read Time
8 Mins
share image icon
In this article
Chevron in toc
View All
Generative AI in Practice: Real-World Use Cases and Success Stories

Introduction

A subset of artificial intelligence methods known as “generative AI” creates new content, such as text, photos, music, or other types of data, that closely resembles human-generated content. These models may produce unique and realistic outputs after training on enormous amounts of data, making them valuable tools in various industries.

Generative AI in Real World is changing standard company procedures, increasing efficiency, and streamlining monotonous jobs. But what specific use cases does the technology provide to businesses across various industry sectors?

What is Generative AI?

Given the wide range of generative AI applications and use cases, it is unsurprising that businesses across numerous industries consider integrating technology into their operations.

Emerging technologies like Generative AI have become crucial for corporate success and revenue growth as they help organizations achieve more efficiency and innovation in today’s fast-paced marketplace. 

Ads of upGrad blog

With the help of GenAI solutions, businesses can unleash new levels of innovation, productivity, and problem-solving by utilizing the power of cutting-edge AI models like GPT-4, DALLE 2, Mi journey, and Stable Diffusion. These sophisticated technologies are changing how we think about computing by enabling us to produce unique material, elaborate reports, automatically spot hazards in crucial supply chain operations and design sophisticated software. All of that happened quickly, almost as if by magic.

The methods used in generative AI are constantly changing. First and foremost are AI foundation models, which, after further fine-tuning, are trained on an extensive collection of unlabelled data that can be used for various tasks. These trained models need a lot of math and processing power to produce, but they are just prediction algorithms at their core. Polish your skills and become an advanced learner by pursuing Advanced Certificate Program in Generative AI and building your own expertise.

Impact of Generative AI on Various Industries

To create new, realistic artifacts that (at scale) represent the traits of the training data without reproducing it, generative AI can learn from existing artifacts. It can create original content, including software code, product designs, photos, videos, music, speech, and writing.  Let us understand how it is impacting various industries:

Content Creation and Marketing

The development of marketing, social media, and narrative material is automated using generative AI models, particularly Natural Language Generation (NLG). As a result, businesses may increase consumer engagement, enhance SEO, and provide personalized content at scale.

Healthcare

Healthcare uses of generative AI include disease diagnosis, medication discovery, and analysis of medical images. Making it simpler to spot patterns and anomalies in medical images expedites researchers’ discovery of prospective drugs.

Gaming & Entertainment

The gaming experience is enhanced using generative AI to produce realistic characters, locations, and compelling storylines. It is also utilized to produce images and animations that are more realistic and immersive.

Design & Creativity

The design has been revolutionized by generative AI, which has made it possible for artists, product designers, and architects to create innovative concepts and prototypes. It enables them to explore a wide range of options quickly and efficiently.

Enroll for the Machine Learning Course from the World’s top Universities. Earn Master, Executive PGP, or Advanced Certificate Programs to fast-track your career.

Best Practices to Follow While Working with Generative AI

It’s crucial to adhere to best practices while working with generative AI to ensure these potent models’ efficient and ethical use. The following are some essential recommendations for using best practices in generative ai:

  • Data Quality & Diversity

To train reliable generative AI models, it is essential to use high-quality and diverse datasets. Attempt to remove biases and skewed distributions and ensure your training data indicates the real-world circumstances you want the model to handle.

  • User Consent & Transparency

Users should be aware that they are engaging with an AI system if they utilize generative AI in a user-facing application. To manage user expectations, be transparent about the AI’s capabilities and constraints.

  • Controlled Environment Testing

Before making Generative AI available to the general public, it should undergo extensive testing in controlled situations. This offers a better user experience and makes spotting and resolving possible problems easier.

  • Adversarial Testing

Generative AI should go through thorough testing in controlled environments before being made available to the general population. This improves user experience and makes identifying and resolving potential issues simpler.

You can also check out our free courses offered by upGrad in Management, Data Science, Machine Learning, Digital Marketing, and Technology. All of these courses have top-notch learning resources, weekly live lectures, industry assignments, and a certificate of course completion – all free of cost!

Generative AI Use Cases in Various Industries

In this section of the article, we will discuss generative ai Use cases in various industries:

eCommerce

AI chatbots are the most successful generative AI application in eCommerce. Using these, businesses won’t need to keep a sizable customer service personnel to give clients personalized information about items, prices, and special offers. Clients will receive a prompt response to their inquiries and requests in the interim. A win-win scenario.

Travel & Transportation

By giving customers all the information, they need about available excursions, travel options, and lodging, generative AI chatbots can significantly improve the service provided by travel agencies.

Transport service companies like airlines and coach operators can employ generative AI to find recurring patterns in the massive volumes of data regarding flights and passengers. Businesses may adjust their offerings and routes based on these insights to better meet the demands of their customers.

Utilities

Utility suppliers can use generative AI technology to better analyze data on resource usage at various times of the day and in various locations. Businesses can then enhance their current distribution strategy and guarantee resource utilization.

Utility providers can also greatly benefit from predictive maintenance, which enables businesses to proactively identify and address possible problems before they result in equipment malfunction and downtime. This will significantly increase utility systems’ effectiveness and dependability while lowering maintenance costs and time.

Top Machine Learning and AI Courses Online

Success Stories of Generative AI

The entire customer operations function might be revolutionized by generative AI, boosting and enhancing agent abilities while raising customer satisfaction and agent productivity through digital self-service. Because it can automate conversations with clients using natural language, the technology has already made headway in customer service. 

According to research, applying generative AI-enhanced issue resolution by 14% per hour and decreased handling time by 9% at one organization with 5,000 customer support representatives.1 Additionally, it decreased management requests and agent attrition by 25%. 

For example, Customer service is changing due to chatbots powered by ChatGPT, which provide businesses with strong support for their end users and workers with various effective applications for connecting with clients, resolving problems swiftly, and fostering loyalty.

AI-powered chatbots can provide mobile applications with a competitive edge by providing excellent customer service. Companies may increase their in-app engagement and user happiness by promptly responding to customer reviews, implementing automatic replies to reviews on sites like Yelp and Google, and offering quick and efficient service. With the ability to generate, edit, and co-create artistic and technical writing assignments, the most recent version of GPT, GPT-4, offers improved creativity and collaboration capabilities. The creation of songs, the creation of music, the creation of realistic text to speech audio, the creation of scripts, and the iterative learning of a user’s writing style are some examples of these jobs. 

Ads of upGrad blog

Zalando, a well-known European e-commerce site for fashion and lifestyle products, will launch a beta version of its ChatGPT-powered fashion assistant on its app and website shortly. With this cutting-edge innovation, customers can browse and shop from Zalando’s wide selection while using their own fashion jargon and terms, making the experience more user-friendly.

The ability to swiftly and effectively develop high-quality content thanks to using GenAI in marketing significantly benefits creative, marketing, and design teams. Existing generative AI solutions for image editing, making graphics, and producing videos are available from well-known businesses like Adobe, Canva, Microsoft Designer, and Shutterstock. In addition, social networking apps like Synthesia, Lumen5, and Supercreator provide interesting and customized content for their users using AI-generated videos and realistic photos. Additionally, marketers may improve the user experience and raise customer engagement by using filters, effects, and realistic avatar creation. By utilizing the power of generative AI, marketing teams can produce engaging content that connects with their target audience and increases conversions.

Trending Machine Learning Skills

Conclusion

By allowing companies to use the power of cutting-edge AI models to automate procedures, spur innovation, and produce unique and interesting content, generative AI has opened up new horizons for business. Generative AI has changed the game when adopted in the real world, and as technology develops, this impact will only increase. Businesses should maximize the potential of generative AI to stay competitive and succeed in the fast-paced market by keeping up with the most recent innovations and best practices.

Frequently Asked Questions

Profile

Pavan Vadapalli

Blog Author
Director of Engineering @ upGrad. Motivated to leverage technology to solve problems. Seasoned leader for startups and fast moving orgs. Working on solving problems of scale and long term technology strategy.
Get Free Consultation

Select Coursecaret down icon
Selectcaret down icon
By clicking 'Submit' you Agree to  
UpGrad's Terms & Conditions

Our Popular Machine Learning Course

Frequently Asked Questions (FAQs)

1What are the examples of Generative AI?

There are tools for generative AI that can produce text, images, music, code, and voices, among other modalities. To learn more about it, consider the following well-known AI content generators: Tools for text generation include Lex, GPT, Jasper, and AI-Writer. Midjourney, Stable Diffusion, and Dall-E 2 are image-generating tools.

2What are the uses of Generative Ai in the real world?

In the marketing, gaming, and communication industries, generative AI is frequently utilized to generate dialogues, headlines, or advertisements. These resources can be used to create product descriptions, articles, social media content, and real-time dialogues with customers in live chat windows.

3Is Generative AI helpful in the Robotics industry?

Robots using Generative AI are suitable for industries like manufacturing, logistics, and healthcare since they can recognize barriers, navigate them, understand human gestures, and even learn from their mistakes.

4What is the impact of Generative AI?

According to a recent study, the use cases for generative AI might alter the job responsibilities of about 1% of India's 5.4 million IT workers in sales and support departments and increase industry income by $2 to $3 billion.

Explore Free Courses

Suggested Blogs

Artificial Intelligence course fees
5314
Artificial intelligence (AI) was one of the most used words in 2023, which emphasizes how important and widespread this technology has become. If you
Read More

by venkatesh Rajanala

29 Feb 2024

Artificial Intelligence in Banking 2024: Examples & Challenges
5934
Introduction Millennials and their changing preferences have led to a wide-scale disruption of daily processes in many industries and a simultaneous g
Read More

by Pavan Vadapalli

27 Feb 2024

Top 9 Python Libraries for Machine Learning in 2024
75444
Machine learning is the most algorithm-intense field in computer science. Gone are those days when people had to code all algorithms for machine learn
Read More

by upGrad

19 Feb 2024

Top 15 IoT Interview Questions & Answers 2024 – For Beginners & Experienced
64325
These days, the minute you indulge in any technology-oriented discussion, interview questions on cloud computing come up in some form or the other. Th
Read More

by Kechit Goyal

19 Feb 2024

Data Preprocessing in Machine Learning: 7 Easy Steps To Follow
152110
Summary: In this article, you will learn about data preprocessing in Machine Learning: 7 easy steps to follow. Acquire the dataset Import all the cr
Read More

by Kechit Goyal

18 Feb 2024

Artificial Intelligence Salary in India [For Beginners & Experienced] in 2024
908394
Artificial Intelligence (AI) has been one of the hottest buzzwords in the tech sphere for quite some time now. As Data Science is advancing, both AI a
Read More

by upGrad

18 Feb 2024

24 Exciting IoT Project Ideas & Topics For Beginners 2024 [Latest]
757694
Summary: In this article, you will learn the 24 Exciting IoT Project Ideas & Topics. Take a glimpse at the project ideas listed below. Smart Agr
Read More

by Kechit Goyal

18 Feb 2024

Natural Language Processing (NLP) Projects & Topics For Beginners [2023]
107285
What are Natural Language Processing Projects? NLP project ideas advanced encompass various applications and research areas that leverage computation
Read More

by Pavan Vadapalli

17 Feb 2024

45+ Interesting Machine Learning Project Ideas For Beginners [2024]
327547
Summary: In this Article, you will learn Stock Prices Predictor Sports Predictor Develop A Sentiment Analyzer Enhance Healthcare Prepare ML Algorith
Read More

by Jaideep Khare

16 Feb 2024

Schedule 1:1 free counsellingTalk to Career Expert
icon
footer sticky close icon