Artificial Intelligence is a buzzing word in the world. Several industries are implementing AI partially or are in beta testing. So, as an entrepreneur, you must be searching for generative AI examples, Right?
First, we have to understand its depth. AI is transforming our world and showcasing glimpses of our bright and dream-come-true future from sci-fi movies. The most popular AI tools that we often hear about are ChatGPT, Google Gemini, and Bing Copilot.
As the integration of these generative AI is taking place across various sectors, let us have a look at specific generative AI examples.
Generative AI Examples According to Specific Industries
Generative AI Examples in Healthcare
1. Diagnosis and Imaging
Paige.ai leverages generative AI for cancer pathology analysis.
Paige is a company that uses cutting-edge AI technologies to revolutionize pathology. This makes generative AI accessible to doctors, enhancing their ability to diagnose and treat diseases.
Moving on, Paige isn’t just about the present. It’s building the future of cancer diagnosis. By offering a comprehensive digital pathology platform and robust AI applications, it’s paving the way for advancements in medical science.
Now, let’s delve into some key points. Paige harnesses the power of AI to usher in a new era of cancer discovery and treatment. It has developed a cloud-based platform that transforms the workflow of pathologists. This not only increases their productivity but also boosts their diagnostic confidence.
In addition, Paige has joined forces with Microsoft. Together, they have built the world’s largest image-based AI models. These models are specifically designed for digital pathology and oncology.
Lastly, Paige has made a significant breakthrough. It has introduced a new AI-Based Biomarker Screening Advancement. This innovation drastically reduces diagnostic turnaround times.
As a result, it enables doctors to make precision treatment decisions more efficiently.
2. Drug Discovery
Insilico Medicine is utilizing generative AI to design and develop new drugs.
Insilico Medicine is a globally recognized biotech company. It leads the way in end-to-end generative AI-driven biotechnology.
The mission of Insilico Medicine is noteworthy. It aims to extend healthy productive longevity. This is achieved by transforming drug discovery and development with generative artificial intelligence.
Key points about Insilico Medicine:
The company plays a significant role in the medical field. It reduces the time and cost of delivering life-saving medications to patients.
They possess a unique tool, the Pharma.AI platform. This proprietary platform accelerates drug discovery and development. It spans across biology, chemistry, and clinical development.
Another remarkable platform they have is inClinico. This data-driven platform forecasts a single clinical trial’s success probability.
Lastly, a notable member of Insilico Medicine’s Scientific Advisory Board is Michael Levitt. He won the Nobel Prize in Chemistry in 2013. His groundbreaking work in protein structure and protein folding using computer modeling is commendable.
3. Patient Care and Communication
Navina’s AI assistant helps doctors by generating reports, summarizing patient data, and even drafting referral letters.
Navina is a company that provides a clinician-first AI platform. The mission of Navina is to streamline patient care. It achieves this by transforming chaotic data into actionable patient portraits.
Key points about Navina:
Navina’s proprietary AI is a game-changer. It integrates data from EHRs and other sources. The AI surfaces what’s important and identifies potential quality and risk gaps requiring attention.
Furthermore, Navina provides efficient pre-visit planning. It ensures accurate diagnosis capture, improved risk adjustment accuracy, and superior quality compliance. This reduces the burden on physicians, making their work more manageable.
Navina’s AI engine meets risk adjustment needs. It streamlines pre-visit reviews with AI-powered HCC recommendations. This simplifies the workflow for everyone involved, making it a practical application of generative AI.
Lastly, Navina offers a complete risk adjustment solution. It covers everything from pre-visit planning to point-of-care assessment. Navina’s AI-powered solution for care gap management streamlines the quality workflow.
This benefits both quality teams and clinicians, showcasing the power of generative AI examples in healthcare.
Generative AI Examples in Manufacturing
4. Product Design & Development
Autodesk partnered with Airbus to utilize generative AI for designing future jetliners.
Airbus, the aircraft manufacturer, is a shining example of generative AI in action. It has been using advanced technologies like generative design and 3D printing to transform air travel into a dynamic, eco-friendly experience.
Moving on, Airbus’s Innovation Manager, Bastian Schaefer, is at the forefront of this transformation. He is working tirelessly to make jetliners more efficient and comfortable.
As part of the team that developed the Airbus Concept Plane, Schaefer’s insights are shaping the future of air travel. This vision of the jetliner of 2050 will be much lighter, use less fuel, and leave a smaller carbon footprint.
This complex vision relies on cutting-edge technology inspired by nature: generative design. Schaefer began working with Autodesk Research, using generative design to develop what the team called “the bionic partition.”
Generative design is a technology that mimics nature’s evolutionary approach to design. It starts with your design goals and then explores all possible permutations of a solution to find the best option.
This is one of the many generative AI examples that are revolutionizing industries.
5. Predictive Maintenance
GE Predix is an AI platform used by GE Aviation for predictive maintenance in jet engines.
The Predix Platform by GE Digital. It serves as an IoT edge-to-cloud foundation shared by GE Digital applications.
Moving on, the Predix Platform is more than just a platform. It’s a cloud-based Platform-as-a-Service (PaaS) specifically designed for the industrial internet.
Furthermore, the Predix Platform connects various elements. It links machines, data, people, and other assets. This is achieved using leading technologies for distributed computing, big-data analytics, asset data management, and machine-to-machine communication.
Lastly, Predix Essentials is the commercial offering of the Predix Platform. It offers customers a complete package of the core Predix Platform services used by GE Digital applications.
This showcases the practical application of generative AI examples in the manufacturing industry.
6. Tools & Companies
Generative Design technology by Siemens Software
Generative Design Technology by Siemens Software enables design collaboration with artificial intelligence in engineering.
Moving on, generative design is a unique capability of CAD generative engineering applications. It autonomously generates a number of design alternatives given a set number of constraints. This can be done without an engineer’s guidance or interaction, freeing them up for other tasks.
Once complete, the engineers can choose which designs they want to explore more completely. Generative design in CAD is an innovative approach. It involves using algorithms and AI to generate multiple design options based on specified parameters and constraints.
Furthermore, it allows designers and engineers to explore a wide range of potential solutions. They can optimize designs for various objectives such as weight reduction, material efficiency, cost minimization, and performance enhancement.
Generative design often produces complex geometric shapes and structures. These may be difficult to conceive manually but are excellent generative AI examples. These designs can leverage the full potential of advanced manufacturing techniques such as additive manufacturing (3D printing).
Lastly, generative design can optimize designs across multiple disciplines. This includes structural analysis, fluid dynamics, thermal management, and electromagnetic simulations. It achieves optimal performance across various criteria, showcasing the power of generative AI in action.
Generative AI Examples in Agriculture
7. Precision Agriculture with AI Insights
“Planet” provides the most current and complete agricultural insights across every region and season.
Planet company specializes in “Monitoring for Precision Agriculture.” It provides high-resolution, high-frequency satellite solutions. These solutions offer critical insights necessary for productive, profitable, and sustainable farming.
Moving on, Planet provides the most current and complete agricultural insights. These insights span across every region and season. With Planet, growers can measure crop health from preseason to harvest. This allows them to farm more efficiently, profitably, and sustainably.
Furthermore, Planet’s daily stream of high-resolution satellite imagery is noteworthy. It enables precision agriculture at scale, even in regions with frequent cloud cover. Providing a combination of broad area coverage, field-level detail, frequent in-season revisit rates, and rapid access, Planet provides valuable input at each stage of crop management.
Lastly, Planet’s simple cloud-based APIs are worth mentioning. They allow Planet data to be integrated into your software pipeline with ease. Planet’s high cadence monitoring and 3-5 meter resolution imagery allow you to track agricultural processes with ease.
This showcases the practical application of generative AI examples in the agriculture industry.
8. Predictive Disease and Pest Control
Phytech uses generative AI to analyze historical data and weather patterns to predict outbreaks of crop diseases and pests.
Phytech is a company that connects growers to their plants, helping them monitor, plan, automate, and manage various aspects of farming.
Moving on, Phytech’s technology is based on direct data from your trees, fruits, soil, climate, and irrigation system. This allows for a more efficient and effective farming process.
Furthermore, Phytech provides direct health and water demand data. This allows trees to indicate when and how much water they need to produce high-quality yields. It’s a practical application of generative AI examples in agriculture.
Phytech offers a full picture of your farm’s needs at a glance. This includes stressed blocks, irrigation performance, and Phytech’s recommendations. It’s a testament to the power of generative AI in action.
Phytech’s pressure sensors placed on the irrigation system monitor actual irrigation in each block. This ensures optimal water usage and promotes sustainable farming practices.
In addition, Phytech helps growers reach their desired fruit size. It tracks the fruit’s growth against a trajectory and controls its size by applying irrigation. At last, Phytech offers ongoing irrigation consultancy and support.
9. AI-powered Chatbots for Personalized Learning
Plantix uses generative AI to create chatbots that answer farmers’ questions about crop health, pest identification, and best practices.
Plantix is a free app that serves as a prime example of generative AI in action. It helps farmers diagnose and treat crop problems, thereby improving productivity and providing farming knowledge.
Moving forward, Plantix offers a unique feature. Farmers can take a photo of their sick crop and get a free diagnosis and treatment suggestions in a few seconds. This showcases the practical application of generative AI examples in agriculture.
Furthermore, Plantix has a community of agri-experts. They provide advice and share their experiences, contributing to a knowledge-rich platform.
The app also provides information on specific crop diseases and prevention methods. This ensures a successful harvest, demonstrating the power of generative AI in action.
Lastly, Plantix has achieved a significant milestone. As the most downloaded ag-tech app worldwide, it has answered more than 100 million crop-related questions from farmers. This is a testament to the impact of generative AI examples in the industry.
Generative AI Examples in Education
10. Personalized Learning Platforms
ALEKS creates individualized learning paths for students in math, chemistry, statistics, and accounting.
ALEKS is an adaptive online learning program. It caters to various subjects like math, chemistry, statistics, and accounting.
ALEKS enables all students to have the same learning opportunity. With ALEKS, students achieve mastery more than 90% of the time, showcasing the effectiveness of generative AI examples in education.
Furthermore, ALEKS is a research-based, online learning program. It offers course products for Math, Chemistry, Statistics, and more. Rooted in 20 years of research and analytics, ALEKS provides a deep understanding of each student’s knowledge and learning progress.
Constantly adapting to update each student’s knowledge state, ALEKS guides students to precisely what they are ready to learn at all times. This ensures a personalized learning experience for every student.
At last, ALEKS helps students master course topics through a continuous cycle of mastery, knowledge retention, and positive feedback. It has helped over 25,000,000 students and counting, demonstrating the impact of generative AI examples in the industry.
11. Language Learning
italki connects students with online language tutors.
italki is a language learning platform connecting students with certified language tutors from around the world.
It offers 1-on-1 lessons that are customizable and trusted by millions of users. You can learn from certified teachers who fit your budget and schedule, showcasing the flexibility of generative AI examples in education.
Furthermore, italki provides a global community of language learners. This fosters a collaborative learning environment and enhances the learning experience.
In addition, italki offers a wide range of language options. You can pick from over 150 languages including English, Japanese, Spanish, Chinese, French, Italian, German, Portuguese, Korean, Arabic, and more.
Lastly, italki offers various resources for learning beyond the classroom. These include assessments, podcasts, articles, topics, prompts, quizzes, and more. This comprehensive approach to language learning demonstrates the far-reaching impact of generative AI examples in the educational sector.
12. AI-powered Content Creation
Nearpod allows teachers to create interactive lessons that include quizzes, polls, and open-ended questions.
Nearpod is a real-time student engagement platform that stands as one of the prime generative AI examples. It offers interactive lessons, videos, gamification, and activities.
Moving on, Nearpod provides real-time insights into student understanding. It does this through interactive lessons, videos, gamification, and activities, all within a single platform.
Furthermore, Nearpod allows teachers to visualize and support student understanding. It enables them to adapt instruction or address misconceptions on-the-fly, showcasing the flexibility of generative AI examples in education.
Teachers can make any slides-based lessons interactive with Nearpod. They can gather data on student understanding by adding formative assessments, simulations, and dynamic media.
Additionally, Nearpod offers gamification and activities like Time to Climb, Matching Pairs, Draw It, and NEW Drag & Drop. These features enhance the learning experience and make it more engaging.
Lastly, Nearpod is flexible and can be used in various environments, be it classroom, distance learning, or hybrid. It integrates with the tools you’re already using, such as Power Points, Google Slides, worksheets, videos, and other resources. This showcases the practical application of generative AI examples in the educational sector.
Generative AI Examples in Advertising and Marketing
13. Marketing Copywriting
Anyword is an AI writing platform that uses natural language processing to generate and optimize marketing content.
Anyword is a versatile tool that stands as a prime example of generative AI in advertising and marketing. It can be used to create and optimize content for websites, social media, email, and ads.
Moving on, Anyword boasts a range of features. It offers custom scoring models that train AI models on brand and performance data. This ensures the content generated is in line with the brand voice and is likely to perform well.
Furthermore, Anyword supports customization. It allows users to define keywords to maintain brand voice and relevance. This showcases the flexibility of generative AI examples in content creation.
In addition, Anyword caters to a variety of content types. It includes social media descriptions, headlines, and email marketing. It also provides templates for various platforms, enhancing the user experience.
Lastly, Anyword excels in ad copy creation and optimization. It enhances ad copy creation and optimization for platforms like Google and Facebook. This demonstrates the practical application of generative AI examples in the marketing sector.
Anyword can be used to create and optimize all types of marketing content. This includes generating on-page content and meta descriptions for websites, creating relevant ad copies personalized to different audiences for ads, and producing hundreds of high-converting post ideas tailored to each platform for social media.
14. Media Sector
muse.ai is a next-gen ad-free video hosting platform that includes a powerful embedded video player and the most advanced video search.
Muse.ai is an AI-powered platform that stands as a prime example of generative AI. It uses machine learning algorithms to analyze video content and extract metadata and insights. This helps businesses store, share, and embed video or audio files on a unified interface.
Muse.ai offers several advantages. One of them is automated video transcription. It converts speech into text, allowing users to search and navigate through their videos.
Furthermore, Muse.ai provides an AI video search feature. Users can use this to find abstract ideas like “mysterious atmosphere” or “happy moment”. This showcases the power of generative AI examples in content discovery.
In addition, Muse.ai offers private streaming. Users can enjoy ad-free and private streaming, enhancing the user experience.
Moreover, Muse.ai provides AI-assisted insights. Users can use these insights to gain a deeper understanding and context within video content.
In addition, Muse.ai offers advanced video search. Your videos are automatically analyzed and labeled by artificial intelligence. You can search for anything: speech, people, text, objects, sounds, actions, and more.
You can swiftly find related concepts across a multitude of videos, surface relevant clips, discover unexpected insights, and zero in on the results with fine-grained filters. This demonstrates the practical application of generative AI examples in the media sector.
15. Video Creation
RunwayML’s Video AI model allows users to generate videos on their phones using text.
RunwayML is an AI research company. It’s shaping the next era of art, entertainment, and human creativity. Its mission is to bring the creative potential of AI to everyone.
RunwayML provides a suite of tools for creative tasks. These tools are perfect generative AI examples. They include Gen-1 and Gen-2, among others. Gen-1 is a generative video-to-video tool. Gen-2 is a generative image-to-video or text-to-video tool.
They also offer a Motion Brush and tools for converting text to video, image to video, video to video, text to image, and image to image.
Runway Studios is a platform created by RunwayML. It’s for anyone with a story to tell. The aim is to empower and celebrate the next generation of storytellers.
The Creative Partners Program exists to uplift and empower today’s leading creatives. Established in 2023, the AI Film Festival is a celebration of the art and artists embracing new AI techniques for filmmaking.
RunwayML is trusted by the world’s top creatives. It’s used by companies and creatives worldwide. It allows users to leverage AI to elevate their video editing creations. Users can produce more advanced content, including 3D animations, effects, and more.
End Note
These are the handful of generative AI examples we curated for our readers. But remember, the generative AI ecosystem is continuously evolving, and new businesses are consistently emerging.
Staying updated with industry news and trends can help you identify the most suitable solutions for your needs. We will keep bringing up such valuable content for you.
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