Generative AI Examples: The year 2024 promises to be a landmark year in the evolution of technology, particularly in the realm of Generative Artificial Intelligence (Generative AI). As we navigate through the various applications and advancements in this field, it becomes evident that Generative AI is reshaping industries profoundly. In this blog, we will talk about 25 generative AI examples in 2024 and how Generative AI is making a difference across diverse sectors.
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Generative AI Examples in Healthcare
Healthcare faces numerous challenges, doesn’t it? Issues like increasing healthcare expenses, a disjointed system, difficulties in sharing health information, and limited access to care are just a few. AI offers an opportunity to tackle these challenges. While it’s not a magical fix, generative AI can be used in different ways to make a meaningful impact.
Here are some instances:
#1 Patient-friendly AI apps
Example: Ada
Ada, a doctor-created symptom assessment app, provides medical guidance in multiple languages. Enhanced by human doctors’ expertise, Ada employs AI to improve health outcomes and deliver outstanding clinical excellence.
#2 AI tools for early disease detection
Example: SkinVision app
SkinVision aids in early skin cancer detection. Through regulated medical service, AI technology, and expert input, it teaches users self-examination, risk understanding, and immediate concern addressing.
#3 AI for accessibility
Example: Virtual volunteer / Be My Eyes
An AI app for visually impaired individuals, utilising GPT-4, instantly converts images into text. Users can send images for immediate identification, interpretation, and visual assistance.
#4 AI for patient support
Example: Hyro
This conversational AI caters to health systems, enhancing patient engagement and handling staffing challenges. With HIPAA-compliant conversational AI, users can automate common interactions, scale operations, and overcome staffing shortages.
#5 AI for product development
Example: Wizard
Wizard employs AI for quick and easy prototyping of digital products like apps and landing pages, simplifying the once manual design process with its intuitive interface.
#6 AI-generated media for medical training
Example: PEDAL
PEDAL, an AI-driven platform, aids decision-making in oncology. With a biobank of 150,000 tumour samples across 137 cancer types, the platform predicts drug responses with unmatched precision.
Generative AI Examples in Education
Imagine a classroom with over 20 students. Among them, some learn best through visuals, while others prefer reading. Some are quiet and shy, while others struggle with biology. It’s a diverse group with varied needs, right?
Education faces challenges like unequal access, outdated methods, and the need for personalised learning. Luckily, AI brings potential solutions closer every day.
Let’s explore how generative AI can benefit education:
#7 AI Apps for Personalized Learning Experiences
Example: Knowji
Knowji, an AI-driven app, improves vocabulary for learners of all ages. Its engaging content and advanced spaced repetition algorithm ensure lasting word retention.
#8 AI Apps for Innovative Learning Approaches
Example: Hello History
Hello History provides a unique way to learn history. Users can converse with historical figures, making history studies more engaging and interactive.
#9 AI Generators for Creating Engaging Training Materials
Example: Synthesia
Synthesia, an AI video generator, transforms text into engaging videos with AI avatars—real human presenters. This online tool helps educators turn text documents into compelling video training, establishing a deeper connection with viewers.
#10 AI Solutions for Assessment, Grading, and Feedback
Example: Gradescope
Gradescope, an AI-powered tool, simplifies assessment grading. It efficiently grades both digital and paper assignments, providing quick and accurate results and valuable insights into students’ knowledge levels.
#11 AI Summarization Tools
Example: Genei
Genei speeds up research by automating tasks. It instantly summarises PDFs and websites, saving time for students and researchers. Genei also provides concise responses to questions based on relevant resources.
#12 AI Learning Companions and Personal Tutors
Example: Duolingo Max
Duolingo Max, a conversational AI for language learning, uses GPT-4. Learners can choose from innovative features like Explain My Answer and Roleplay for a deeper learning experience alongside Duolingo’s existing benefits.
Also read: Scope of Learning Artificial Intelligence in India 2023
Generative AI Examples in Tourism and Hospitality
How much time did you spend planning your last trip? Let me guess – quite a bit. While some folks enjoy it, many find it to be a time-consuming and not-so-fun task. Scrolling through lots of pages, searching for places, finding good restaurants, and dealing with car rentals, all while trying to organise a schedule around it, can be really tiring. Luckily, AI is set to offer different solutions. While there are already some apps out there, we expect a big increase in development in the next few years.
Here are some real-life uses of AI in the tourism sector:
#13 AI apps for making reservations and schedules smoother
Example: Tripnotes.ai
Tripnotes is a data-driven travel planner that simplifies trip planning. Users can copy their travel ideas from text messages, social media, or blogs, and the app automatically saves and looks up each mentioned place using AI.
#14 AI search
Example: Microsoft Bing
Microsoft Bing is a smart search engine that uses advanced AI technology. With its web, video, image, and map search features, Bing provides a complete search experience, and also has real-time chat and co-creation features.
#15 AI solutions for the travel industry
Example: Bloomreach
Bloomreach is a cloud-based software for the travel industry that personalised customer interactions, boosts business growth, and supports different providers. It helps identify frequent travellers, create personalised experiences, and gain valuable customer insights.
#16 AI for marketing
Example: Runway
Promoting tourist destinations and services needs a lot of multimedia content, especially videos. Thankfully, AI can help with video editing. Runway, for instance, offers over 30 integrated AI tools to make video editing smooth and accessible for everyone, regardless of their previous knowledge and video editing skills.
#17 AI chatbots for customer service and support
Example: ChatBot
ChatBot is an AI customer support tool that improves service by simplifying processes and offering support across different channels and languages. It uses large language models to enhance the user experience with visual explanations and interactive forms.
#18 Virtual guides for personalised guided tours
Example: P.A.D.D.Y
P.A.D.D.Y. is an AI-powered tour guide made by a group of tour guides in Ireland. This versatile AI adds character to the experience of Ireland, tailoring it to individual interests and preferences.
Also read: 10 New Technology Trends For 2024
Generative AI Examples in Marketing and Advertising
From the Mad Men era to the age of the internet, social media, and hyper connectedness, marketing has transformed significantly. Traditional methods have been replaced by digital strategies, personalised messaging, and interactive experiences that businesses navigate to connect and resonate with their target audiences. The ever-changing landscape demands an abundance of localised, niche, and relatable content. Generative AI can play a crucial role in this:
#19 AI for content creation (text, images, video, audio…)
Example: AI video generators
Generative AI enables innovative content creation methods. An example is AI video generation. What used to be a physical process (cameras, actors, studios…) has now transitioned into a fully digital realm, making video creation convenient and accessible to all.
#20 AI for content repurposing
Example: Jasper Campaigns
Omnichannel marketing is at the core of today’s marketing. Jasper enables users to create end-to-end marketing campaigns in their brand’s tone and voice with a single brief. Based on the brief, the AI can generate as many assets as needed, including emails, case studies, Facebook and Google ads, press releases, and more.
#21 AI for personalised marketing strategies
Example: RAD AI
RAD AI merges data-driven insights and authentic content to assist marketing teams in crafting impactful campaigns. By analysing past performance and formulating effective strategies, it aims to establish genuine and emotional connections with the target audience across various marketing channels.
#22 Generative AI for content localization
Example: Lokalise AI
Lokalise AI is an automated localization and translation platform designed for various applications, including web apps, customer service, documents, mobile apps, games, and marketing assets.
Also read:Role of Artificial Intelligence in Robotics
Generative AI Examples in Finance and Business
AI is also transforming the finance and banking sectors, making them more user-friendly than ever before. AI is providing a significant upgrade to banking operations by automating tasks that were previously performed manually, resulting in more efficient processes. With the help of generative AI, we are witnessing exciting communication possibilities, including new and improved ways to present information, highly useful real-time AI assistants, and streamlined content optimization processes.
#23 AI solutions for business owners
Example: Yooz
Yooz is an automated AI solution designed to assist accounting and finance leaders in managing invoices. The solution aims to streamline and automate the invoice processing workflow, reducing manual effort and enhancing overall efficiency.
#24 AI for content optimization
Example: AdCreative.ai
AdCreative.ai is a generative AI app that quickly generates conversion-focused ad creatives and social media posts. With the ability to specify the target audience and platform, it selects the ideal message aligned with specific business goals.
#25 AI for personal finance
Example: Cleo
Cleo, an AI money app designed for individuals, revolutionised how people manage their financial lives. With a simple chat interface, Cleo assists users in saving money, budgeting effectively, and gaining financial knowledge.
FAQs
Can generative AI be used for creative writing beyond simple text generation?
Absolutely! Generative AI goes beyond basic text generation, enabling creative writing tasks such as poetry, storytelling, and scriptwriting with the ability to mimic diverse writing styles.
How does generative AI contribute to the creation of realistic virtual characters?
Generative AI plays a vital role in crafting lifelike virtual characters for gaming and animation, generating facial features, expressions, and unique personalities through techniques like style transfer and image generation.
What impact does generative AI have on designing unique and personalised user interfaces?
Generative AI revolutionises UI/UX design by automatically adapting layouts, colour schemes, and design elements based on user preferences, leading to more engaging and personalised digital experiences.
How does generative AI contribute to drug discovery and molecular design?
Generative AI accelerates drug discovery by predicting molecular structures and proposing potential drug candidates, leveraging vast datasets to speed up the development process and enhance the likelihood of discovering effective treatments.
In what ways does generative AI enhance the field of visual art and graphic design?
Generative AI empowers visual artists and designers by automating tasks, exploring new styles, and providing inspiration for creating visually stunning and innovative artwork, making it a valuable tool in the creative process.
