20 Key Generative AI Examples in 2024

Generative AI examples are rapidly growing as this emerging AI technology quickly gains adoption. Already, generative AI examples are found in industries ranging from healthcare to manufacturing to finance to marketing. And further instances of generative AI tools are growing in additional sectors as developers work to evolve the original technology to create new uses. Why is it so popular? Generative artificial intelligence is a technology used to generate new content based on previous data. Current generative AI tools enable users to develop new images, texts, and more by inputting data. Let’s explore 20 examples of generative AI throughout key industries.
TABLE OF CONTENTS
ToggleGenerative AI in HealthcareGenerative AI in ManufacturingGenerative AI in AgricultureGenerative AI in CybersecurityGenerative AI in FinanceGenerative AI in EducationGenerative AI in Advertising and MarketingThe Bottom Line: Generative AI Examples Are Growing

Generative AI in Healthcare

Healthcare is an industry undergoing significant change as a result of generative AI. And many healthcare organizations are currently implementing generative AI in various ways. For example, generative AI can be used by physicians to develop custom care plans for patients. It offers groundbreaking solutions for diagnostics, treatment planning, and drug discovery, among other uses, which allow healthcare providers to offer more efficient healthcare services while personalizing patient care to unprecedented levels. Here are some use cases in healthcare.

AI-Driven Personalized Medicine

Recommended Tool: Insilico Medicine Insilico Medicine leverages generative AI to revolutionize drug discovery and personalized treatment plans. By predicting the effects of drugs on specific genetic profiles, this tool enables the development of customized therapies, reducing trial and error in treatment selection and enhancing the efficacy of medical interventions. Its ability to rapidly screen millions of molecules for potential therapeutic effects drastically accelerates the path from research to clinical trials and gives hope for faster breakthroughs in medicine.

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AI-Driven Patient Interaction Platforms

Recommended Tool: Hyro Hyro uses generative AI technology to power its HIPAA-compliant conversational platform for healthcare. It automates patient interactions and provides timely information and support to enhance the patient care experience of its users while also helping to ease staffing issues for medical organizations. Beyond patient interaction, Hyro’s AI also integrates with healthcare systems to provide real-time data analytics that enhances operational efficiency and coordination efforts for patient care.

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AI for Early Disease Detection

Recommended Tool: SkinVision SkinVision is a regulated medical service that utilizes generative AI to analyze skin images for early signs of skin cancer. The app generates assessments based on visual patterns, aiding in the early detection and treatment of skin-related conditions. Its generative AI is powered by the expertise of dermatologists and other skin health professionals. By encouraging regular skin checks, the app significantly increases the chances of successful treatment for skin cancer patients.

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Generative AI in Manufacturing

Generative AI is reshaping the manufacturing industry by introducing innovative solutions that enhance efficiency, reduce costs, and improve product quality. For example, generative AI algorithms can be used to generate product ideas based on certain specifications while enabling users to save on money and time that would’ve gone into manufacturing products. In many cases, this process is much faster than the traditional design process, which must be completed manually.

Predictive Maintenance for Equipment

Recommended Tool: SparkCognition SparkCognition’s Darwin AI platform excels in predictive maintenance, analyzing data from machinery sensors to forecast potential failures before they happen. This preemptive approach minimizes downtime, extends equipment lifespan, and optimizes maintenance schedules, which helps to make sure that manufacturing processes remain uninterrupted. Additionally, Darwin AI’s self-learning capabilities make sure that predictive AI models improve over time and adapt to new data and evolving operational conditions.

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Product Concept Visualization

Recommended Tool: Stable Diffusion Stable diffusion can be used across multiple domains. For manufacturing, especially in the early stages of product development, it can be instrumental in visualizing product concepts and designs. This application of generative AI allows designers to quickly iterate on ideas and visualize potential products, streamlining the design process and powering more creative exploration. What Stable Diffusion does particularly well: it democratizes the product visualization and design processes by allowing even those without formal training to bring their creative visions to life with ease.

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Product Design Optimization

Recommended Tool: Autodesk Generative Design In product design and development, generative AI algorithms can explore all possible variations of a solution to quickly generate design alternatives that meet criteria like weight, strength, material usage, and cost. Autodesk Generative Design leverages this technology to help engineers create more efficient and innovative products. It explores thousands of design options that a human designer might not think of. It not only optimizes designs but also promotes sustainable manufacturing practices by minimizing material waste and energy consumption.

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Generative AI in Agriculture

Agriculture is on the brink of a new revolution with the advent of generative AI, which promises to enhance crop yield, optimize farming practices, and ensure sustainability. By leveraging data-driven insights, generative AI is poised to transform traditional farming into precision agriculture, tailored to the specific needs of each plot of land.

AI-Assisted Crop Advice

Recommended Tool: FarmerChat by Gooey.AI FarmerChat, developed by Gooey.AI in collaboration with DigitalGreen.org, is an AI assistant designed to provide Kenyan, Indian, and Ethiopian farmers with tailored crop advice. Utilizing generative AI, FarmerChat processes farmers’ queries in real-time and generates actionable recommendations for crop management, pest control, and best agricultural practices, thereby enhancing productivity and sustainability in farming. Because it’s available in many languages, the platform’s multilingual support breaks down language barriers to make advanced agricultural knowledge accessible to farmers worldwide.

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Precision Agriculture and Crop Management

Recommended Tool: ChatGPT ChatGPT’s potential applications are endless and one of its use cases in agriculture is to offer insights on precision farming, pest identification, crop disease management, and more. By processing natural language queries, ChatGPT can generate advice on crop yield optimization, sustainable farming practices, and even market trends, making it a versatile tool for farmers seeking to leverage AI for data-driven decision-making. The AI app’s vast knowledge base includes best practices for sustainable farming, which help to reduce environmental impact while maximizing crop yields.

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Generative AI in Cybersecurity

As technology advances, so do cyber risks. The cybersecurity industry must evolve too, so organizations can stay protected from breaches and cybercrime. Generative AI can improve cybersecurity in many ways. For example, generative AI can be used to simulate risky environments that cybersecurity professionals can use to test their security policies and controls. AI tools can also analyze past data for trends to identify potential security risks. As a result, teams can mitigate these risks to improve their security posture.

Advanced Threat Detection and Analysis

Recommended Tool: Google Cloud Security AI Workbench Google Cloud Security AI Workbench leverages Google Cloud’s AI and ML capabilities to offer advanced threat detection and analysis. It generates insights from vast amounts of security data to help its users identify potential threats proactively and give them timely mitigation strategies, ultimately enhancing overall security posture. The platform is also highly scalable, which means that it can protect enterprises of all sizes, from small businesses to large corporations.

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Natural Language Cybersecurity Management

Recommended Tool: CrowdStrike Charlotte AI CrowdStrike Charlotte AI allows users to interact with the Falcon platform using natural language, supporting threat hunting, detection, and remediation efforts. By generating intuitive interfaces and responses, Charlotte AI simplifies cybersecurity management, making it accessible to a broader range of users, and its continuous learning from real-world cyber incidents consistently increases its competence against cyberthreats.

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Complex Network Threat Detection and Response

Recommended Tool: Airgap Networks ThreatGPT Airgap Networks ThreatGPT combines GPT technology, graph databases, and sophisticated network analysis to offer comprehensive threat detection and response. It is particularly effective in complex network environments as it generates detailed analyses and actionable responses to potential threats. Its ability to visualize network threats in real-time helps security teams to quickly understand and react to complex attack vectors. For more on how generative AI can improve enterprise security, read our guide: Generative AI and Cybersecurity.

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Generative AI in Finance

The finance sector is harnessing the power of generative AI with use cases ranging from enhancing risk assessment and personalizing customer experiences to streamlining operations. This technology is enabling financial institutions to offer more tailored services, improve decision-making processes, and increase operational efficiency.

Fraud Detection and Prevention

Recommended Tool: Featurespace Featurespace’s ARIC platform uses generative AI to detect and prevent fraudulent transactions in real-time. By learning from each transaction, it generates models that can identify anomalies and potential fraud, enhancing the security of financial operations. The platform’s adaptability means it can protect a wide range of financial transactions, from online payments to banking operations.

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Personalized Financial Advice

Recommended Tool: Cleo Cleo employs generative AI to provide personalized financial advice and budgeting assistance. By analyzing users’ spending habits and financial data, Cleo generates tailored suggestions to help users manage their finances more effectively, encouraging savings and reducing unnecessary expenditures. Its friendly and conversational interface makes financial management approachable and less intimidating for users.

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Automated Invoice Processing

Recommended Tool: Yooz Yooz utilizes generative AI to automate invoice and purchase order processing, transforming accounts payable workflows. By extracting and analyzing data from invoices, Yooz generates entries and categorizations, streamlining the approval process and enhancing financial operations’ efficiency. The application seamlessly integrates with existing financial systems, which provides a smooth transition to automated processes without disrupting workflow.

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Generative AI in Education

In education, generative AI can be used to develop custom learning plans for students based on their grades and overall understanding of various subjects. Generative AI tools such as ChatGPT can also support students with complex assignments such as term papers by being a starting point for brainstorming (though admittedly, ChatGPT is also abused by some students). For busy educators, generative AI holds promise for simplifying tedious daily tasks such as building lesson plans, outlining assignments, generating rubrics, building tests, providing innovative teaching aids, and more.

Personalized Vocabulary Learning Experiences

Recommended Tool: Knowji Knowji leverages generative AI to create personalized vocabulary lessons, adapting to the learner’s proficiency level and learning pace. By generating custom quizzes and employing spaced repetition algorithms, Knowji ensures effective retention and mastery of new words, making language learning more efficient and tailored to individual needs. Knowji is engaging and interactive. This helps users form a deeper connection with the language, which helps make vocabulary building a joy rather than a chore.

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Automated Content Creation for Course Materials

Recommended Tool: Jasper Jasper, powered by generative AI, assists educators in creating comprehensive and customized course materials. By inputting a topic, Jasper can generate detailed lesson plans, lecture notes, and educational content, saving educators significant time and effort. It also serves as a collaborative tool, enabling educators to refine AI-generated content and make sure it aligns with educational standards and goals.

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Language Learning and Practice

Recommended Tool: Duolingo Duolingo uses generative AI to personalize the language learning experiences of its users. The platform adapts to each learner’s pace and progress, generating exercises and conversations that target specific areas of improvement, making language learning more interactive and adaptive. Its gamification makes learning a new language fun, encouraging consistent daily practice. For a full portrait of the AI vendors serving a wide array of business needs, read our in-depth guide: 150+ Top AI Companies 2024.

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Generative AI in Advertising and Marketing

One industry that seems nearly synonymous with AI is advertising and marketing, especially when it comes to digital marketing. Many marketers feel AI can reduce the amount of time spent on manual tasks to make room for enhanced creativity. As a result, the advertising and marketing sectors are experiencing a paradigm shift with the integration of generative AI. They are seeing unprecedented levels of personalization, content creation, and customer engagement.

Automated Video Production

Recommended Tool: Synthesia Like many video generation tools, Synthesia employs generative AI to create professional-looking videos from text input. Marketers and advertisers can produce high-quality video content at scale, including product demos, explainer videos, and personalized customer messages, without the need for traditional video production resources. Synthesia’s ability to update and edit videos quickly makes it easy to rapidly iterate and test marketing messages to keep content fresh and relevant. To learn about today’s top generative AI tools for the video market, see our guide: 5 Best AI Video Generators.

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Innovative Image Creation

Recommended Tool: Midjourney Midjourney stands out for its capacity to transform brief textual prompts into vivid, imaginative visuals, making it an invaluable tool for advertisers and marketers. Whether for social media posts, advertising banners, or conceptual art for campaigns, Midjourney enables the creation of bespoke imagery that can capture the audience’s attention and convey complex ideas visually, enhancing brand storytelling and engagement. The video app’s generative capabilities push the boundaries of creative expression, enabling brands to stand out in a saturated digital landscape.

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Dynamic Content Creation for Campaigns

Recommended Tool: Jasper Campaigns With the power of generative AI, Jasper Campaigns creates cohesive and compelling content across various marketing channels. Marketers can easily generate high-quality copy, images, and videos based on a single brief, which enables them to quickly produce consistent and engaging content for entire campaigns, enhancing brand messaging and audience engagement. Its analytics tools measure campaign performance and give insights that help refine and optimize future marketing strategies.

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The Bottom Line: Generative AI Examples Are Growing

Generative AI and tools have many examples across major industries, such as cybersecurity and manufacturing. And more use cases will certainly come to light over time. While the future of generative AI will improve many industry-specific processes, we must move forward with caution. Even as positive examples abound, the power of generative AI and other models is not yet fully understood. For those who decide to implement AI in their organizations, it’s critical to do so strategically and with careful adherence to best practices. To find additional generative AI tools that can support your business, read our guide: Top Generative AI Apps and Tools.
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