Nguồn 1: 185 real-world gen AI use cases from the world's leading organizations

AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions. Try Gemini 1.5 models Google's most advanced multimodal models in Vertex AI Try it Published April 12, 2024; last updated with new use cases Sept. 24, 2024. Since generative AI first captured the world’s attention, there’s been a vigorous discussion about what, exactly, the new technology is best used for. While we all enjoyed those early funny chats and witty limericks, we’ve quickly discovered that many of the biggest AI opportunities are clearly in the enterprise, government, and with exciting new companies. When we first published this post during Google Cloud Next ‘24, we showcased 101 of the best use cases out of the hundreds featured across the event. Now, we’re adding another 84 to the list as customers across the globe continue to put generative AI to work. [If you've visited this post in the past, you can find the newest use cases listed at the top of each section.] In a matter of months, organizations have gone from AI helping answer questions, to AI making predictions, to generative AI agents. What makes AI agents unique is that they can take actions to achieve specific goals, whether that’s guiding a shopper to the perfect pair of shoes, helping an employee looking for the right health benefits, or supporting nursing staff with smoother patient hand-offs during shifts changes. In our work with customers, we keep hearing that their teams are increasingly focused on improving productivity, automating processes, and modernizing the customer experience. These aims are now being achieved through the AI agents they’re developing in six key areas: customer service; employee empowerment; code creation; data analysis; cybersecurity; and creative ideation and production.

Hundreds of Google Cloud customers have now put AI agents and gen-AI solutions into production throughout their businesses and the world — with many seeing a tangible return on investment. They have come to rely on Google Cloud technologies that include our AI infrastructure, Gemini models, Vertex AI platform, Google Workspace, and Google Distributed Cloud. Here’s a snapshot of how 185 of these industry leaders are putting AI to use today, creating real-world use cases that will transform tomorrow.

Similar to great sales and service people, customer agents are able to listen carefully, understand your needs, and recommend the right products and services. They work seamlessly across channels including the web, mobile, and point of sale, and can be integrated into product experiences with voice and video.

Alaska Airlines is developing natural language search, providing travelers with a conversational experience powered by AI that’s akin to interacting with a knowledgeable travel agent. This chatbot aims to streamline travel booking, enhance customer experience, and reinforce brand identity. 
Bennie Health uses Vertex AI to power its innovative employee health benefits platform, providing actionable insights and streamlining data management in order to enhance efficiency and decision-making for employees and HR teams.
Beyond 12, a tech-enabled nonprofit focused on student empowerment, has developed an AI-powered college coach to offer scalable coaching to first-generation students that’s available over text, app, and the web.
CareerVillage is building an app called Coach to empower job seekers, especially underrepresented youth, in their career preparedness; already featuring 35 career development activities, the aim is to have more than 100 by next year.
Character.ai built its realistic conversational chat platform using the full stack of Google Cloud AI services, including for model training and daily operations, allowing it to manage terabytes of conversations each day without interruption.
Click Therapeutics develops prescription digital therapeutics designed to treat disease. Its Clinical Operations team leverages Gemini for Google Workspace to transform complex operations data into actionable insights, so they can quickly pinpoint ways to streamline the patient experience in clinical trials.
Formula E can now summarize a two-hour long race commentary into a 2-minute podcast in any language, incorporating driver data and ongoing seasonal storylines. 
General Motors’ OnStar has been augmented with new AI features, including a virtual assistant powered by Google Cloud’s conversational AI technologies that are better able to recognize the speaker’s intent.
Gojek, an Indonesia-based super app, launched "Dira by GoTo AI," a Bahasa Indonesia AI-powered voice assistant integrated into their GoPay service, allowing customers to use voice command to eliminate typing and scrolling, and complete tasks like bill payments and money transfers with fewer steps. Watch a demo.
GroupBy, an ecommerce service provider, developed an AI-first Search and Discovery Platform powered by Vertex AI Search for Retail. This solution is meticulously designed to optimize revenue, strengthen brand loyalty, and drive sales growth for B2C and B2B retailers.
Hotelplan Suisse built a chatbot trained on the business’s travel expertise to answer customer inquiries in real-time, and, following that success, it plans to use gen AI to create travel content.
Justicia Lab is developing an AI-powered assistant that will simplify legal processes for asylum seekers and immigrants; by uploading a picture from a legal letter or document, users can extract valuable information and then receive personalized guidance and next steps.
Mercado Libre has incorporated semantic search into its digital shopping platforms, using AI embeddings from the Vertex AI Agent Builder, which greatly improved product recommendations and discoverability for more than 200 million consumers across Latin America.
Motorola’s Moto AI leverages Gemini and Imagen to help smartphone users unlock new levels of productivity, creativity, and enjoyment with features such as conversation summaries, notification digests, image creation, and natural language search — all with reliable responses grounded in Google Search. 
mRelief has built an SMS-accessible AI chatbot to simplify the application process for the SNAP food assistance program in the U.S., featuring easy-to-understand eligibility information and direct assistance within minutes rather than days.
Personal AI offers a “personal language model” using only the data of one individual or brand and allowing them to control and own how it is used. Built on your own data, facts, and opinions, it creates a responsive and interactive messaging experience that helps people be more productive and deepen relationships.
PODS worked with the advertising agency Tombras to create the “World’s Smartest Billboard” using Gemini — a campaign on its trucks that could adapt to each neighborhood in New York City, changing in real-time based on data. It hit all 299 neighborhoods in just 29 hours, creating more than 6,000 unique headlines. See how they did it.
Quora developed Poe, its own generative AI platform for people to discover and chat with AI-powered bots, including Gemini, Anthropic’s Claude, Meta’s Llama, and Mistral’s Large 2 — many of which are hosted on Google Cloud’s purpose-built AI infrastructure.
ScottsMiracle-Gro built an AI agent on Vertex AI to provide tailored gardening advice and product recommendations for consumers. Read the news.
Snap has deployed the multimodal capability of Gemini within its “My AI” chatbot and has since seen over 2.5-times as much engagement within Snapping to My AI in the United States. Watch the video.
Tabiya has built a conversational interface, Compass, that helps young people find employment opportunities; the platform asks questions and requests information, drawing out skills and experiences and matching those to appropriate roles. 
Telecom Italia (TIM) implemented a Google-powered voice agent to address many customer calls, increasing efficiency by 20%.
UPS Capital launched DeliveryDefense Address Confidence, which uses machine learning and UPS data to provide a confidence score for shippers to help them determine the likelihood of a successful delivery.
Volkswagen of America built a virtual assistant in the myVW app, where drivers can explore their owners’ manuals and ask questions, such as, “How do I change a flat tire?” or “What does this digital cockpit indicator light mean?” Users can also use Gemini’s multimodal capabilities to see helpful information and context on indicator lights simply by pointing their smartphone cameras at the dashboard. See how it works.
ADT is building a customer agent to help its millions of customers select, order, and set up their home security.
Alaska Airlines is developing a personalized travel search experience using advanced AI techniques, creating hyper-personalized recommendations that engage customers early and foster loyalty through AI-generated content. Watch the session to learn more.
Best Buy is using Gemini to launch a generative AI-powered virtual assistant this summer that can troubleshoot product issues, reschedule order deliveries, manage Geek Squad subscriptions, and more; in-store and digital customer-service associates are also gaining gen-AI tools to better serve customers anywhere they need help. Watch the session to learn more.
The Central Texas Regional Mobility Authority is using Vertex AI to modernize transportation operations for a smoother, more efficient journey.
Etsy uses Vertex AI training to optimize their search recommendations and ads models, delivering better listing suggestions to buyers and helping sellers grow their businesses.
Golden State Warriors are using AI to improve the fan experience content in their Chase Center app. Watch the session to learn more.
IHG Hotels & Resorts is building a generative AI-powered chatbot to help guests easily plan their next vacation directly in the IHG One Rewards mobile app. Watch the session to learn more.
ING Bank aims to offer a superior customer experience and has developed a gen-AI chatbot for workers to enhance self-service capabilities and improve answer quality on customer queries. Watch the session to learn more.
Magalu, one of Brazil’s largest retailers, has put customer service at the center of its AI strategy, including using Vertex AI to create “Lu’s Brain” to power an interactive conversational agent for Lu, Magalu's popular brand persona (the 3D bot has more than 14 million followers between TikTok and Instagram).
Mercedes Benz will infuse e-commerce capabilities into its online storefront with a gen AI-powered smart sales assistant. Mercedes also plans to expand its use of Google Cloud AI in its call centers and is using Vertex AI and Gemini to personalize marketing campaigns.
Oppo/OnePlus is incorporating Gemini models and Google Cloud AI into their phones to deliver innovative customer experiences, including news and audio recording summaries, AI toolbox, and more.
Samsung is deploying Gemini Pro and Imagen 2 to their Galaxy S24 smartphones so users can take advantage of amazing features like text summarization, organization, and magical image editing.
The Minnesota Division of Driver and Vehicle Services helps non-English speakers get licenses and other services with two-way real-time translation.
Pepperdine University has students and faculty who speak many languages, and with Gemini in Google Meet, they can benefit from real-time translated captioning and notes.
Sutherland, a leading digital transformation company, is focused on bringing together human expertise and AI, including boosting its client-facing teams by automatically surfacing suggested responses and automating insights in real time.
Target uses Google Cloud to power AI solutions on the Target app and Target.com, including personalized Target Circle offers and Starbucks at Drive Up, their curbside pickup solution.
Tokopedia, an Indonesian ecommerce leader, is using Vertex AI to improve data quality, increasing unique products being sold by 5%.
US News saw a double-digit impact in key metrics like click-through rate, time spent on page, and traffic volume to its pages after implementing Vertex AI Search. 43-45. IntesaSanpaolo, Macquarie Bank, and Scotiabank are exploring the potential of gen AI to transform the way we live, work, bank, and invest — particularly how the new technology can boost productivity and operational efficiency in banking. Watch the session to learn more.
Employee agents help workers be more productive and collaborate better together. These agents can streamline processes, manage repetitive tasks, answer employee questions, as well as edit and translate critical communications. 46. 2bots offers technology solutions, such as chatbots and virtual agents, built with Google Cloud’s AI solutions; these intelligent chatbots and content generation tools are transforming the way companies interact with their customers. 47. Augment is building an AI personal assistant that offers enhanced note-taking and collects information across your apps, including calendar, email, texts, and social media, so users can more quickly and easily find personal information and keep their lives organized. 48. Bayes Impact builds AI products to support nonprofits, and its flagship product, CaseAI, is a digital case manager that integrates with an NGO’s current system to add smart features to draft action plans tailored to a beneficiary’s unique history; caseworkers have saved 25 hours of work per week on average.  49. Bell Canada has built customizable contact center solutions for its business customers that offer AI-powered agents to address callers, and Agent Assist, which listens when a human agent is on, offering suggestions and sentiment analysis. AI has contributed $20 million in savings across customer operations. 50. Best Buy can generate conversation summaries in real time using Contact Center AI, allowing live agents to give their full attention to understanding and supporting customers, resulting in a 30-to-90-second reduction in average call time and after-call work. Both customers and agents have cited improved satisfaction. 51. Camanchaca, a Chilean seafood company, took only six weeks to develop Elon, a virtual assistant that aims to provide more efficient customer service through digital channels, enhancing Camanchaca's customer interactions. 52. Certify OS is automating credentialing, licensing, and monitoring of medical providers for healthcare networks, relieving the burden of time-consuming and often siloed information.  53. Mark Cuban’s Cost Plus Drugs widely uses Gemini for Google Workspace, estimating that employees are saving an average five hours per week just with AI capabilities in Gmail. Gemini is also streamlining time-consuming, manual processes through uses like AI-generated transcriptions and auto-formatting of pharmaceutical lab results or FDA compliance documentation. 54. Dun & Bradstreet built an email-generation tool with Gemini that helps sellers create tailored, personalized communications to prospects and customers for its research services. The company also developed intelligent search capabilities to help users with complex queries like, "Find me all the companies in this area with a high ESG rating." 55. England’s Football Association is training Vertex AI on the FA's historical and current scouting reports so they can be transformed into concise summaries, helping national teams discover future talent. 56. Fireflies.ai can transcribe, summarize, and analyze meetings, recordings, and other voice conversations to save time and improve collaboration and information sharing across teams. 57. Fluna, a Pan-African digital services company, has automated the analysis and drafting of legal agreements using Vertex AI, Document AI, and Gemini 1.5 Pro, achieving an accuracy of 92% in data extraction while ensuring security and reliability for sensitive information. 58. Hemominas, Brazil's largest blood bank, partnered with Xertica to develop an omnichannel chatbot for donor search and scheduling, streamlining processes and enhancing efficiency. The AI solution has the potential to save half-a-million lives annually by attracting more donors and optimizing blood supply management. 59. Hiscox used BigQuery and Vertex AI to create the first AI-enhanced lead underwriting model for insurers, automating and accelerating the quoting for complex risks from three days down to a few minutes. 60. LiveX AI delivers AI Agents that swiftly enhance product education, boost customer conversion, reduce churn, and provide personalized customer support, with the goal of offering everyone a seamless VIP experience across their customer journey. 61. Opportunity@Work is applying gen AI to scale a suite of software tools and APIs that help employers identify “STAR” job candidates — “skilled through alternative routes” such as community college, military service, and on-the-job experience — helping fill roles in a tight market and expand opportunities. 62. Quantum Metric has introduced Felix AI, powered by Gemini Pro, to simplify digital analytics and decision making. Felix AI automatically summarizes a user’s web or mobile session and consolidates the moments that matter most into short, readable summaries for customer service workers. 63. Randstad, a large HR services and talent provider, is using Gemini for Workspace across its organization to transform its work culture, leading to a more culturally diverse and inclusive workplace that’s seen a double-digit reduction in sick days. Watch the video. 64. Sprinklr built Sprinklr AI+ into its unified customer experience management platform, giving brands gen-AI capabilities for customer service, insights, social media management, and marketing that has enterprise-grade governance, security, and data privacy built-in. 65. Thomson Reuters added Gemini Pro to its suite of large language models approved for employee use; with its 2-million-token context window, Gemini makes some tasks as much as 10-times faster to process and can process entire documents in context. 66. Warner Bros. Discovery built an AI captioning tool with Vertex AI and saw a 50% reduction in overall costs, and an 80% reduction in the time it takes to manually caption a file without the use of machine learning. See how it's done. 67. The U.S. Air Force built a new proof-of-concept portal for searching, browsing, and reading e-published PDFs — all within a 90-day deadline that leveraged the prebuilt tools and speed of Vertex AI Search and Conversation. 68. Avery Dennison empowered their employees with generative AI to enable secure, flexible, and borderless collaboration for enhanced productivity to drive growth. 69. Bank of New York Mellon built a virtual assistant to help employees find relevant information and answers to their questions. Watch the session to learn more. 70. Bayer is building a radiology platform that will assist radiologists with data analysis, intelligent search, and to create documents that meet healthcare requirements needed for regulatory approval. The bioscience company is also harnessing BigQuery and Vertex AI to develop additional digital medical solutions and drugs more efficiently. 71. Bristol Myers Squibb is transforming its document processes for clinical trials using Vertex AI and Google Workspace. Now, documentation that took scientists weeks now gets to a first draft in minutes. Watch the session to learn more. 72. BenchSci develops generative AI solutions empowering scientists to understand complex connections in biological research, saving them time and financial resources and ultimately bringing new medicine to patients faster. 73. Cintas is using Vertex AI Search to develop an internal knowledge center for customer service and sales teams to easily find key information. 74. Covered California, the state’s healthcare marketplace, is using Document AI to help improve the consumer and employee experience by automating parts of the documentation and verification process when residents apply for coverage. Watch the session to learn more. 75. Dasa, the largest medical diagnostics company in Brazil, is helping physicians detect relevant findings in test results more quickly. 76. DaVita leverages DocAI and Healthcare NLP to transform kidney care, including analyzing medical records, uncovering critical patient insights, and reducing errors. AI enables physicians to focus on personalized care, resulting in significant improvements in healthcare delivery. 77. Discover Financial helps their 10,000 contact center representatives to search and synthesize information across detailed policies and procedures during calls. Watch the session to learn more. 78. HCA Healthcare is testing Cati, a virtual AI caregiver assistant that helps to ensure continuity of care when one caregiver shift ends and another begins. They are also using gen AI to improve workflows on time-consuming tasks, such as clinical documentation, so physicians and nurses can focus more on patient care. 79. The Home Depot has built an application called Sidekick, which helps store associates manage inventory and keep shelves stocked; notably, vision models help associates prioritize which actions to take. 80. The Los Angeles Rams are utilizing AI across the board from content analysis to player scouting. 81. McDonald’s will leverage data, AI, and edge technologies across its thousands of restaurants to implement innovation faster and to enhance employee and customer experiences. 82. Pennymac, a leading US-based national mortgage lender, is using Gemini across several teams including HR, where Gemini in Docs, Sheets, Slides and Gmail is helping them accelerate recruiting, hiring, and new employee onboarding. 83. Robert Bosch, the world's largest automotive supplier, revolutionizes marketing through gen AI-powered solutions, streamlining processes, optimizing resource allocation, and maximizing efficiency across 100+ decentralized departments. Watch the session to learn more. 84. Symphony, the communications platform for the financial services industry, uses Vertex AI to help finance and trading teams collaborate across multiple asset classes. 85. Uber is using AI agents to help employees be more productive, save time, and be even more effective at work. For customer service representatives, they’ve launched new tools that summarize communications with users and can even surface context from previous interactions, so front-line staff can be more helpful and effective. Watch the session to learn more. 86. The U.S. Dept. of Veterans Affairs is using AI at the edge to improve cancer detection for service members and veterans. The Augmented Reality Microscope (ARM) is deployed at remote military treatment facilities around the world. The prototype device is helping pathologists find cancer faster and with better accuracy. 87. The U.S. Patent and Trademark Office has improved the quality and efficiency of their patent and trademark examination process by implementing AI-driven technologies. 88. Verizon is using generative AI to help teams in network operations and customer experience get the answers they need faster. Watch the session to learn more. 89. Victoria’s Secret is testing AI-powered agents to help their in-store associates find information about product availability, inventory, and fitting and sizing tips, so they can better tailor recommendations to customers. 90. Vodafone uses Vertex AI to search and understand specific commercial terms and conditions across more than 10,000 contracts with more than 800 communications operators. 91. WellSky is integrating Google Cloud's healthcare and Vertex AI capabilities to reduce the time spent completing documentation outside work hours. Watch the session to learn more. 92. Woolworths, the leading retailer in Australia, boosts employees’ confidence in communications with “Help me write” across Google Workspace products for more than 10,000 administrative employees. It’s also using Gemini to create next-generation promotions, as well as for quickly assisting customer service reps in summarizing all previous customer interactions in real time. 93-97. Box, Typeface, Glean, CitiBank, and Securiti AI discuss developing AI-powered apps across the enterprise, with measurable returns on investment for marketing, financial services, and HR use cases. Watch the session to learn more. 98-99. Highmark Health and Freenome join Bristol Myers Squibb to explore how AI can improve efficiency and innovation across care delivery, drug discovery, clinical trial planning, and bringing medicines to market.

Code agents are helping developers and product teams to design, create, and operate applications faster and better, and to ramp up on new languages and code bases. Many organizations are already seeing double-digit gains in productivity, leading to faster deployment and cleaner, clearer code. 100. Labelbox has built a fully managed AI model evaluation solution directly integrated into the Vertex AI platform, allowing Google Cloud users to seamlessly launch human evaluation jobs and set specific criteria for evaluation, such as question-answering and summarization; this eases and accelerates the ability to deploy human-in-the-loop AI systems with higher levels of trust and authority. 101. Leroy Merlin, a global home improvement retailer, developed its Pull Request Analyzer using Vertex AI. This generative AI solution summarizes code changes, helping developers understand projects faster and improve code review efficiency. 102. Linear, a product development platform, built Similar Issues, a feature that uses AI to detect and prevent duplicate or overlapping tickets and ensures cleaner and more accurate data representation. 103. Magic is building a developer platform with a 100-million-token context window, so organizations can upload extremely large code bases and more easily query and build on them using gen AI assistance. 104. Pinecone provides infrastructure for developers to build accurate, secure, and scalable AI applications, allowing companies to easily ground gen AI apps in their proprietary data for use in AI search, retrieval-augmented generation, coding agents, and more. 105. Regnology built its Ticket-to-Code Writer tool with Gemini 1.5 Pro to automate the conversion of bug tickets into actionable code, significantly streamlining the software development process. 106. Weights & Biases, a creator of AI tools for developers, created W&B Weave, a lightweight toolkit to track, evaluate, and debug gen AI applications built with Gemini, so teams can confidently go from demo to production. 107. Capgemini has been using Code Assist to improve software engineering productivity, quality, security, and developer experience, with early results showing workload gains for coding and more stable code quality. Watch the session to learn more. 108. Commerzbank is enhancing developer efficiency through Code Assist's robust security and compliance features. 109. Quantiphi saw developer productivity gains of more than 30% during their Code Assist pilot. Watch the session to learn more. 110. Replit developers will get access to Google Cloud infrastructure, services, and foundation models via Ghostwriter, Replit's software development AI, while Google Cloud and Workspace developers will get access to Replit’s collaborative code editing platform. 111. Seattle Children's hospital is using AI to boost data engineering productivity and accelerate development. 112. Turing is customizing Gemini Code Assist on their private codebase, empowering their developers with highly personalized and contextually relevant coding suggestions that have increased productivity around 30 percent and made day-to-day coding more enjoyable. Watch the session to learn more. 113. Wayfair piloted Code Assist, and those developers with the code agent were able to set up their environments 55 percent faster than before, there was a 48 percent increase in code performance during unit testing, and 60 percent of developers reported that they were able to focus on more satisfying work. Watch the session to learn more.

Data agents are like having knowledgeable data analysts and researchers at your fingertips. They can help answer questions about internal and external sources, synthesize research, develop new models — and, best of all, help find the questions we haven’t even thought to ask yet, and then help get the answers 114. 180 Seguros is powering its data management platform for employees with Google Cloud AI and BigQuery to improve operational metric tracking, allowing for 3X faster query times. 115. Addy AI is helping mortgage lenders and banks automate their lending processes with custom AI models trained on Vertex AI. For example, the platform can extract loan opportunity details from lengthy email threads with numerous attachments. 116. Bayer Crop Science has developed Climate FieldView, a comprehensive agricultural platform with more than 250 layers of data and billions of data points; AI-powered recommendations allow farmers to design and monitor their fields for greater yields and efficient fertilization, with the added benefit of reduced carbon emissions. 117. CME Group is building a first-of-its-kind cloud-based commodities trading platform with AI tools built-in, offering CME’s trading customers access to deeper insights and smarter trades as well as rapid experimentation on new trading strategies that won’t interrupt existing trade flows. 118. Digits is developing next-gen accounting software for startups and small businesses; using AI-driven bookkeeping, expense management, and financial analysis, Digits enables business owners to achieve financial clarity and focus on growth. 119. Elanco, a leader in animal health, has implemented a gen AI framework supporting critical business processes, such as Pharmacovigilance, Customer Orders, and Clinical Insights. The framework, powered by Vertex AI and Gemini, has resulted in an estimated ROI of $1.9 million since launching last year. 120. Full Fact, a UK-based nonprofit working in 18 countries to combat misinformation, is now using gen AI to actively monitor stories so its 30 fact-checking partner organizations can focus on addressing specific claims and harmful information. 121. Fullstory, a digital behavioral data platform, is building the ability to analyze and summarize user behavior on a site to create more informed and enriching chatbot experiences; responses are more relevant and accurate, ultimately improving virtual agent performance and customer experience. 122. Gamuda Berhad, a Malaysian infrastructure and property management company, has integrated a Gemini-powered conversational agent into its cloud-based Tunnel Insight platform, providing faster information and insights during construction projects. 123. Intelligencia AI is using AI models to research novel new drugs, relying on Google Cloud’s AI-optimized infrastructure to deliver scalable research that is accurate and transparent to meet the stringent needs of medicine. 124. IPRally built a custom machine-learning platform that uses natural language processing on the text of more than 120 million global patent documents, creating an accurate, easily searchable database that adds more than 200,000 new sources a week. 125. Ipsos built a data analysis tool for its teams of market researchers, eliminating the need for time-consuming requests to data analysts, which is powered by Gemini 1.5 Pro and Flash models as well as Grounding with Google Search to enhance real-world accuracy from contemporaneous Search information. 126. Materiom, a startup researching zero-waste, bio-based alternatives to fossil-fuel-made products like plastics, is creating a gen AI tool that enables entrepreneurs to develop novel compostable materials with broad applications; AI offers faster research and information gathering to speed up the development process. 127. Mendel has built a clinical AI system designed to consolidate the longstanding silos in medical data into a knowledge base of holistic patient journeys, boosting patient recruitment for new therapies and clinical trials. 128. NeuroPace, a medical device company, built a solution to quickly identify effective epilepsy treatment options best suited to different patients; by analyzing brainwave patterns, it can find similar patients and apply successful therapies, streamlining personalized care. 129. NotCo, a Chilean food tech company, partnered with Eleven Solutions to develop a conversational AI chatbot powered by Gemini; the chatbot has revolutionized data access, allowing employees to instantly query their SAP system and gain real-time insights for faster, data-driven decision-making. 130. SURA Investments, the largest asset manager in Latin America, developed an AI-based analysis model for employees that allows them to better understand customer needs and improve customer experience and satisfaction. 131. AI21 Labs offers a BigQuery integration called Contextual Answers that allows users to query data conversationally and get high-quality answers quickly. 132. Anthropic has partnered with Google Cloud to offer its family of Claude 3 models on Vertex AI — providing organizations with more model options for intelligence, speed, cost-efficiency, and vision for enterprise use cases. 133. The Asteroid Institute is using AI to discover hidden asteroids in existing astronomical data. This is a major focus for astronomers researching the evolution of the Solar System, investors and businesses hoping to fly missions to asteroids, and for all of us who want to prevent future large asteroid impacts on Earth. Watch the session to learn more. 134. Contextual is working with Google Cloud to offer enterprises fully customizable, trustworthy, privacy-aware AI grounded in internal knowledge bases. 135. Cox 2M, the commercial IoT division of Cox Communications, is able to make smarter, faster business decisions using AI-powered analytics. Watch the session to learn more. 136. Essential AI, a developer of enterprise AI solutions, is using Google Cloud’s AI-optimized TPU v5p accelerator chips to train its own AI models. 137. Generali Italia, Italy's largest insurance provider, used Vertex AI to build a model evaluation pipeline that helps ML teams quickly evaluate performance and deploy models. 138. Globo, one of Brazil’s largest media networks, is using Service Extensions and Media CDN to fight piracy during live events by blocking pirated streams in real time. Watch the session to learn more. 139. Hugging Face is collaborating with Google across open science, open source, cloud, and hardware to enable companies to build their own AI with the latest open models from Hugging Face and Google Cloud hardware and software. Watch the session to learn more. 140. Kakao Brain, part of Korean technology company Kakao Group, has built a large-scale AI language model that is the largest Korean language-specific LLM in the market, with 66 billion parameters. They’ve also developed a text-to-image generator called Karlo. Watch the session to learn more. 141. Mayo Clinic has given thousands of its scientific researchers access to 50 petabytes worth of clinical data through Vertex AI search, accelerating information retrieval across multiple languages. Watch the session to learn more. 142. McLaren Racing is using Google AI to get up-to-the-millisecond insights during races and training to gain a competitive edge. 143. Mercado Libre is testing BigQuery and Looker to optimize capacity planning and reservations with delivery carriers and airlines to fulfill shipments faster. Watch the session to learn more. 144. Mistral AI will use Google Cloud's AI-optimized infrastructure, to further test, build, and scale up its LLMs, all while benefiting from Google Cloud's security and privacy standards. 145. MSCI uses machine learning with Vertex AI, BigQuery and Cloud Run to enrich its datasets to help our clients gain insight into around 1 million asset locations to help manage climate-related risks. 146. NewsCorp is using Vertex AI to help search data across 30,000 sources and 2.5 billion news articles updated daily. 147. Orange operates in 26 countries where local data must be kept in each country. They are using AI on Google Distributed Cloud to improve network performance and deliver super-responsive translation capabilities. Watch session to learn more. 148. Spotify leveraged Dataflow for large-scale generation of ML podcast previews, and they plan to keep pushing the boundaries of what’s possible with data engineering and data science to build better experiences for their customers and creators. Watch session to learn more. 149. UPS is building a digital twin of its entire distribution network, so both workers and customers can see where their packages are at any time. 150. Workday is using natural language processing in Vertex Search and Conversation to make data insights more accessible for technical and non-technical users alike. Watch the session to learn more. 151. Woven – Toyota's investment in the future of mobility — is partnering with Google to leverage vast amounts of data and AI to enable autonomous driving, supported by thousands of ML workloads on Google Cloud’s AI Hypercomputer. This has resulted in resulting in 50% total-cost-of-ownership savings to support automated driving. 152-153. Broward County, Florida, and Southern California Edison are using geospatial capabilities and AI to improve infrastructure planning and monitoring, generate new insights, and create regional resilience for communities facing climate challenges today and tomorrow. 154-155. Kinaxis and Dematic are building data-driven supply chains to address logistics use cases including scenario modeling, planning, operations management, and automation. 156-157. NOAA and USAID are among the U.S. government agencies using Google Cloud AI to unlock critical data insights to streamline operations and improve mission outcomes — all with an emphasis on responsible AI. Watch the session to learn more. Watch the session to learn more. Security agents assist security operations by radically increasing the speed of investigations, automating monitoring and response for greater vigilance and compliance controls. They can also help guard data and models from cyberattacks, such as malicious prompt injection. 158. Apex Fintech is using Gemini in Security to accelerate the writing of complex threat detections from hours to a matter of seconds. 159. Exabeam has built a generative AI copilot for security analysts into its New-Scale Security Operations Platform. 160. Fiserv, a developer of financial services technology, can now summarize threats, find answers, and detect, validate, and respond to security events faster with the Gemini in Security Operations platform. 161. NetRise developed Trace to provide software supply chain security by introducing AI-powered intent-driven searches; these allow users to search their assets based on the underlying motives or purposes behind the code and configurations, rather than solely relying on signature-based methods. 162. Palo Alto Networks is using Gemini to create a grounded AI assistant for 24/7 security platform support in order to improve agent efficiency and response time; grounding the assistant in organizational data and security protocols has greatly improved the accuracy of responses. 163. BBVA uses AI in Google SecOps to detect, investigate, and respond to security threats with more accuracy, speed, and scale. The platform now surfaces critical security data in seconds, when it previously took minutes or even hours, and delivers highly automated responses. 164. Behavox is using Google Cloud technology and LLMs to provide industry leading regulatory compliance and front office solutions for financial institutions globally. Watch the session to learn more. 165. Charles Schwab has integrated their own intelligence into the AI-powered Google SecOps, so analysts can better prioritize work and respond to threats. Watch the session to learn more. 166. Grupo Boticário, one of the largest beauty retail and cosmetics companies in Brazil, employs real-time security models to prevent fraud and to detect and respond to issues. Watch the session to learn more. 167. Fiserv’s security operations engineers create detections and playbooks with much less effort, while analysts get answers more quickly. 168. Palo Alto Networks’ Cortex XSIAM, the AI-driven security operations platform, is built on more than a decade of expertise in machine-learning models and the most comprehensive, rich, and diverse data store in the industry. Backed by Google's advanced cloud infrastructure and advanced AI services, including BigQuery and Gemini models, the combination delivers global scale and near real-time protection across all cybersecurity offerings. Watch the session to learn more. 169. Pfizer can now aggregate cybersecurity data sources, cutting analysis times from days to seconds. Creative agents can expand your organization with the best design and production skills, working across images, slides, and exploring concepts with workers. Many organizations are building agents for their marketing teams, audio and video production teams, and all the creative people that can use a hand. With creative agents, anyone can become a designer, artist, or producer. 170. Adore Me marketers write differentiated product descriptions in one hour, a tedious task which used to take 30-40 hours a month thanks to Gemini for Google Workspace. 171. Globo, the largest media group in Latin America, is using Google Cloud’s AI to hyper-personalize content for its streaming users, and create a better experience for spectators. 172. Higgsfield.ai built a number of text-to-video apps for consumers, including Diffuse 2.0, which can combine users photos, videos, and texts through AI models to create more realistic avatars.  173. Jasper trains its suite of creativity-, writing-, and marketing-focused AI models on Google’s AI infrastructure, delivering on-brand, data-optimized assets faster and at scale to teams large and small. 174. Puma is using Imagen to customize product photos on its website, saving time and ensuring they are locally relevant across markets; PUMA India has already seen a 10% increase in click through rate. Watch a demo. 175. Radisson Hotel Group personalized its advertising at scale in collaboration with Accenture and using Vertex AI and Gemini models, training them on extensive datasets stored in BigQuery; ad teams saw productivity rise around 50% while revenue increased from AI-powered campaigns by more than 20% 176. Square Enix is using customer data to develop AI-optimized marketing assets to keep its gamers engaged, sharing personalized emails suited to each player’s preferences, leading to a 20% increase in email opens and a 10% increased retention rate. 177. Urmobo, a mobile-device management platform, created a virtual agent, Odin, that significantly improved user experience and reduced support tickets by enabling clients to interact with the platform using natural language. 178. The World Bank is developing a tool to extract key information from research literature on the causal impact of development interventions, with the ultimate goal to empower decision-makers to allocate the $220B in annual aid and trillions in annual impact investing more effectively. 179. Belk ECommerce is using generative AI to craft better product descriptions, a necessary yet time-consuming task for digital retails that has often been done manually. 180. Canva is using Vertex AI to power its Magic Design for Video, helping users skip tedious editing steps while creating shareable and engaging videos in a matter of seconds. 181. Carrefour used Vertex AI to deploy Carrefour Marketing Studio in just five weeks — an innovative solution to streamline the creation of dynamic campaigns across various social networks. In just a few clicks, marketers can build ultra-personalized campaigns to deliver customers advertising that they care about. 182. Major League Baseball continues to innovate its Statcast platform, so teams, broadcasters, and fans have access to live in-game insights. 183. Paramount currently relies on manual processes to create the essential metadata and video summaries used across its Paramount+ platform for showcasing content and creating personalized experiences for viewers. VertexAI Text Bison is now helping to streamline this process. Watch the session to learn more. 184. Procter & Gamble used Imagen to develop an internal gen AI platform to accelerate the creation of photo-realistic images and creative assets, giving marketing teams more time to focus on high-level planning and delivering superior experiences for its consumers. 185. WPP will integrate Google Cloud’s gen AI capabilities into its intelligent marketing operating system, called WPP Open, which empowers its people and clients to deliver new levels of personalization, creativity, and efficiency. This includes the use of Gemini 1.5 Pro models to supercharge both the accuracy and speed of content performance predictions.

Nguồn 2: 20 Examples of Generative AI Applications Across Industries Generative artificial intelligence (AI) is a trend just beginning its journey to the mainstream. Gartner projects that by 2026, over 100 million people will use generative AI to help them complete their work [1]. McKinsey looked at 63 different uses for generative AI and concluded that, if they were all implemented, the technology could add $2.6 trillion to $4.4 trillion worth of value to the global economy [2]. In this article, you’ll learn 20 examples of generative AI applications in various industries and how to start using generative AI for your organization. What is generative AI? Generative AI is artificial intelligence designed to create unique text or image results in response to user prompts. The technology uses machine learning to return an output based on the user’s prompt. AI engineers train the technology using large data sets, which the model consults when determining the best possible answer to a prompt. Another way to look at generative AI is as a form of predictive artificial intelligence. Based on the information provided, generative AI will predict which words and in which order will give the best answer to the user's prompts. You can use generative AI to create new written, visual, or audio content, summarize complex data, generate code, assist with repetitive tasks, or make customer service more personalized. Examples of generative AI Examples of generative artificial intelligence that you may have heard of include Google’s Bard, ChatGPT, or DALL-E from OpenAI.

ChatGPT or DALL-E: Generative artificial intelligence created by OpenAI, a Microsoft-backed, profit-capped company with the mission to develop artificial intelligence to serve humankind

Google Bard: Google’s generative AI with integrations to Google products like Google Lens and Gmail, operating with a language model called PaLM-2 that was trained on the largest data set out of all generative AI models available at the time of its release

Applications of generative AI Generative artificial intelligence has applications in diverse industries such as health care, manufacturing, software development, financial services, media and entertainment, and advertising and marketing. Let’s examine some of the different ways professionals in these industries apply generative AI to their field. Health care and pharmaceuticals Generative artificial intelligence has applications for all parts of the health care and pharmaceutical industry, from discovering and developing new life-saving medicine to personalizing treatment plans for individual patients to creating predictive images for charting disease progression. Some of the possibilities for generational AI in health care include:

Enhancing medical images: Generative AI can augment medical images like X-rays or MRIs, synthesize images, reconstruct images, or create reports about images. This technology can even generate new images to demonstrate how a disease may progress in time.

Discovering new drugs: Researchers can use generative artificial intelligence via a related field called generative design to research and develop new medicines. Gartner projects that 30 percent of the new drugs created by researchers in 2025 will use generative design principles [1].

Simplify tasks with patient notes and information: Healthcare professionals keep and take notes about patient medical care. Generational AI can build patient information summaries, create transcripts of verbally recorded notes, or find essential details in medical records more effectively than human efforts.

Personalized treatment: Generative AI can consider a large amount of patient information, including medical images and genetic testing, to deliver a customized treatment plan tailored to the patient's needs.

Advertising and marketing Generative artificial intelligence offers many solutions to professionals working in advertising and marketing, such as generating text and images needed for marketing or finding new ways to interact with customers. Here are some examples of generative AI applications in advertising and marketing:

Generate marketing text and images: Generative AI can help marketing professionals create consistent, on-brand text and images to use in marketing campaigns. This technology also offers translation tools to spread your marketing message into new territories. Gartner predicts that marketing professionals will use generative AI to create 30 percent of outbound marketing materials by 2025 [1].

Generate personalized recommendations: Generative AI helps create powerful recommendation engines to help customers discover new products they might like. With generative AI, this process is more interactive for customers.

Create product descriptions: Beyond flashy advertising campaigns, generative artificial intelligence can help with tedious or time-consuming content requirements like creating product descriptions.

Enhance search engine optimization: SEO professionals can use generative AI for tasks like image tags or page titles or to create content drafts. You could also use a tool like ChatGPT or Bard to recommend changes you could make to content to improve SEO ranking.

Manufacturing In manufacturing, professionals can use generative AI to look for ways to improve efficiency, anticipate maintenance needs before they cause problems, help engineers create better designs faster, and create a more resilient supply chain. Let’s explore these potential manufacturing solutions:

Accelerating the design process: Using generative AI, engineers and project managers can work through the design process much faster by generating design ideas and asking the AI to assess ideas based on the constraints of the project.

Provide smart maintenance solutions for equipment: Maintenance professionals can use generative AI to track the performance of heavy equipment based on historical data, potentially alerting them to trouble before the machine malfunctions. Generative AI can also recommend routine maintenance schedules.

Improve supply chain: You could use generative AI to track down the cause of problems in the supply chain by speaking conversationally with the technology to sort through a vast amount of transactional or product data. Generative AI can also help generate delivery schedules or recommendations for suppliers.

Software development For a software development team, generative AI can provide tools to create and optimize code faster and with less experience using programming languages. A few examples of the applications of generative AI in software development include:   Generating code: Software developers can create, optimize, and auto-complete code with generative AI. Generative AI can create code blocks by comparing them to a library of similar information. It can also predict the rest of the code a developer begins to type, much like how auto-complete works while texting on a smartphone.

Translate programming languages: Generative AI can be a tool for developers to interact with software without needing a programming language. The generative AI would act as a translator.

Automate testing: Developers can improve their automated testing processes using generative AI to highlight potential problems and execute testing sequences faster than other AI methods. Generative AI can learn the logic of the software and how users will interact with it and create test cases to demonstrate various user scenarios.

Financial services According to McKinsey, generative AI could add $200 billion to $340 billion of value to the banking industry annually [2]. Some of the applications of generative AI in the financial services industry include artificial intelligence investment strategies, drafting documentation and monitoring regulatory changes, and using generative AI as an interpreter to facilitate communications between clients and investors.

Create investment strategies: Generative AI can recommend the best investments according to your or your client’s goals. This technology can find and execute trades much faster than human investors and can do so within the parameters you set for the kind of transaction you want.

Communicate and educate clients and investors: Financial services professionals sometimes need to communicate complex information to clients and colleagues. Generational AI can provide hyperpersonalized customer service without adding more customer service professionals.

Quickly draft documentation and monitor regulation: Generative AI can monitor regulatory activity, keep you informed of any changes, and create drafts of documents such as investment research or insurance policies.

Media and entertainment Media and entertainment could embrace generative AI in several ways, considering the industry primarily engages in the same task as the tech: generating unique content. Generative AI can help create and edit visual content, create short highlight videos of sporting events, and make working with content management systems easier.

Create audio and visual content: Generative AI can create new video content from scratch. This tech can also help you make visual content faster by creating visual effects, adding graphics, or streamlining editing.

Generate highlights for sports and events: When it comes to sporting and live events, gen AI can create highlight reels instantly and allow fans to create their own custom highlights. For example, fans could generate highlights of a particular play or a tournament series.

Manage tags for better content management: Generative AI can tag and index extensive media libraries, making locating the files you need at any time easier. Similar to our manufacturing example above, generative AI allows using conversational language to find the information or media you’re looking for in a complex media library.

How to find solutions with generative AI If you’re interested in bringing generative AI to your company, you can approach the technology in two ways. First, you can use existing models and learn to engineer prompts to your needs. Or, you can customize solutions to fit your business processes.

You can use existing generative AI tools like ChatGPT. In this scenario, you’ll focus on learning how to write prompts that get the best answer possible from the technology. For example, you might identify who your audience is and the appropriate tone of the piece to help the application deliver the correct results.

You can integrate custom solutions from an enterprise-level company or build your own generative AI tools. While it won’t be feasible or practical for many companies to create their own generative AI solutions, many gen AI companies offer solutions you can tailor to your business needs. Generative models will vary on features, cost, and security or privacy standards. \n Nguồn 3: 50 Useful Generative AI Examples in 2024  \n Generative AI has become a hot topic in the past few months, and for good reason — it is changing the world right before our eyes. 

The AI revolution is impacting every sector, including healthcare, education, finance, agriculture, and construction, with new AI solutions emerging daily. 

In this article, we will explore 50 practical applications of generative AI across different industries. 

To demonstrate the real impact of AI, we have also integrated real-world generative AI examples that are already leaving a profound imprint on people's work processes. 

Are you ready to dive right in? Let’s go!

But wait - what exactly is generative AI? 🤖
Generative AI refers to a form of artificial intelligence that prioritizes the creation of original data rather than solely processing and organizing pre-existing data. By utilizing large language models, it has the ability to generate diverse outputs, including unique written content, images, videos, and music.

Generative AI examples in healthcare
The world of healthcare certainly has its fair share of challenges, doesn't it?

We're talking about rising healthcare costs, a fragmented system, struggles with health information exchange and interoperability, and limited access to care, just to name a few.

However, AI presents an opportunity to address these challenges.

While it is not a magical solution, generative AI can be leveraged in various ways to make a meaningful impact. 

Here are some examples:

#1 Conversational AI apps for patients
👉 Example: Ada 

Ada is a doctor-developed symptom assessment app that offers medical guidance in multiple languages. Optimized with the expertise of human doctors, Ada utilizes AI to support improved health outcomes and deliver exceptional clinical excellence.

#2 AI applications for early detection of certain diseases
👉 Example: SkinVision app 

SkinVision is an app for early detection of skin cancer. With its regulated medical service, AI technology, and expert input, it teaches users to self-examine, understand risks, and address immediate concerns.

#3 AI for accessibility
👉 Example: Virtual volunteer / Be My Eyes

It’s an AI app designed for visually impaired individuals that harnesses the power of GPT-4 to convert images into text instantly. Users can send images through the app for immediate identification, interpretation, and conversational visual assistance. 

#4 AI for patient interactions and support
👉 Example: Hyro

This conversational AI is designed specifically for health systems to enhance patient engagement and address staffing challenges. With HIPAA-compliant conversational AI, users can automate common interactions, scale operations, and overcome staffing shortages.

#5 AI for medical product development and design
👉 Example: Uizard 

Uizard leverages AI for quickly and easily prototyping various digital products, such as apps and landing pages. With its intuitive interface, it greatly simplifies the once manual design process.

#6 AI-generated media for enhanced medical training and simulation
👉 Example: PEDAL 

PEDAL is an AI-driven platform that helps with better decision making in oncology. With a biobank of 150,000 tumor samples across 137 cancer types, the platform predicts drug responses with unmatched precision.

Generative AI examples in education
So, there's a class of 20+ students sitting in a classroom. 

Some of them are visual learners, while others prefer reading. Some are introverted and freeze when put in the spotlight, and others need extra help with biology. It's quite a diverse group of people, and they have a diverse range of needs, don't you think?

There's no doubt that education today faces many challenges, including unequal access, outdated methods, and the need for personalized learning. Fortunately, with the advent of AI, the solutions seem closer each day. 

Here's how we can use generative AI in education:

#7 AI apps for personalized learning experiences
👉 Example: Knowji 

Knowji is an AI-driven app that enhances vocabulary acquisition for learners of all ages. With captivating content and a state-of-the-art spaced repetition algorithm, this tool ensures the long-lasting retention of words.

#8 AI apps for innovative learning approaches
👉 Example: Hello History

Hello History is an app that offers a unique approach to learning history. Users can engage in conversations with historical personalities, which makes the study of history much more engaging and interactive.

#9 AI generators for creating more engaging training materials
‍👉 Example: Synthesia 

Synthesia is an AI video generator that creates videos from text. And not just any videos, but videos with real human presenters - AI avatars. It’s a great online tool that helps educators effortlessly transform their text-based documents into an engaging video training featuring a human face, establishing a deeper connection with the viewers.

Here’s how it works: #10 AI solutions for assessment, grading, and giving feedback to students
👉 Example: Gradescope 

Gradescope is an AI-powered tool that simplifies assessment grading for teachers. It efficiently grades both digital and paper-based assignments, providing quick and accurate results. Additionally, Gradescope offers valuable insights into students' knowledge levels across various subjects.

#11 AI summarization tools
👉 Example: Genei 

Genei leverages AI to accelerate research by automating time-consuming tasks. This app instantly summarizes PDFs and websites, saving students and researchers a significant amount of time. Additionally, Genei can provide concise and summarized responses to questions based on relevant resources.

#12 AI learning companions and personal tutors for individualized support
👉 Example: Duolingo Max 

Duolingo Max is a conversational AI for learning languages that leverages GPT-4. Learners can choose from two innovative features: Explain My Answer and Roleplay. These additions provide a deeper learning experience alongside the existing benefits of Duolingo. 

Generative AI examples in tourism and hospitality
How many hours did you spend planning your last trip? ✈️

Let me guess - quite a lot. 

While some people enjoy it, the majority find it to be a time-consuming and unenjoyable task.

Browsing through numerous pages, searching for locations, finding suitable restaurants, and dealing with car rentals, all while trying to organize a schedule around it, can be incredibly exhausting.

Fortunately, generative AI is poised to provide different solutions. 

While there are already some applications available, we anticipate a significant surge in development in the coming years. 

Here are some concrete use cases of generative AI in the tourism sector:

#13 AI apps for streamlining reservations and itineraries
👉 Example: Tripnotes.ai 

Tripnotes is a data-powered travel planner that simplifies, well… trip planning. Users can paste their travel inspiration from text messages, social media, or blogs, and the app automatically saves and researches each mentioned place leveraging generative AI.

#14 AI search
👉 Example: Microsoft Bing 

Microsoft Bing is an advanced search engine that incorporates cutting-edge AI technology. With its web, video, image, and map search functionalities, Bing offers a comprehensive search experience, and also includes real-time chat and co-creation features.

#15 AI business solutions for the travel industry
👉 Example: Bloomreach

Bloomreach is a cloud-based software for the travel industry that personalizes customer touch-points, drives business growth, and supports different providers. It helps identify frequent travelers, create personalized experiences, and gain valuable customer insights.

#16 AI for marketing
👉 Example: Runway 

Marketing tourist destinations and services requires a significant amount of multimedia content, with video being the most popular format at the moment. Fortunately, AI can assist with video editing. One example is Runway, which offers over 30 integrated AI tools to facilitate smooth and accessible video editing 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 streamlining processes and offering support across various channels and languages. It leverages large language models to enhance the user experience with visual explanations and interactive forms.

#18 Virtual guides for personalized guided tours
👉 Example: P.A.D.D.Y 

P.A.D.D.Y. is an AI-powered tour guide created by a group of tour guides in Ireland. This multifaceted AI brings character to the experience of Ireland, tailoring it to individual interests and preferences.

Generative AI examples in marketing and advertising
From the Mad Men era to the age of the internet, social media, and hyperconnectedness, marketing has undergone a remarkable transformation. 

Traditional methods have been replaced by digital strategies, personalized messaging, and interactive experiences that businesses must navigate in order to connect and resonate with their target audiences.

The constantly evolving landscape demands an abundance of localized, niche, and relatable content – and this is where generative AI can play a crucial role:

#19 AI for content creation (text, images, video, audio…)
👉 Example: AI video generators 

Generative AI enables innovative methods of content creation. One such 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. This feature by 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 personalized marketing strategies
👉 Example: RAD AI 

RAD AI merges data-driven insights and authentic content to assist marketing teams in crafting impactful campaigns. By analyzing 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. With its advanced features like contextual translation, alternative variants, rephrasing, and concise adaptations, it enables seamless communication with global audiences in different languages.

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, evolutionizes how people manage their financial lives. With a simple chat interface, Cleo assists users in saving money, budgeting effectively, and gaining financial knowledge.

#26 AI chatbots and virtual assistants for enhanced customer service
👉 Example: Boost.ai 

Boost.ai is an AI-powered conversation builder that delivers accurate responses to customers using advanced natural language processing and your customized training inputs. It seamlessly operates across various platforms, including websites, Slack channels, Zendesk, and Teams.

#27 AI-generated presentations
👉 Example: Tome 

Tome is a revolutionary generative AI solution that takes the hassle out of creating presentations. By providing a simple prompt, users can instantly generate captivating slides for product presentations, sales pitches, training sessions, client proposals, and more.

Generative AI examples in media and entertainment
In the dynamic landscape of media and entertainment, a clear trend is unfolding: a continuous evolution towards more immersive and interactive content. 

As our attention spans diminish, innovative content formats are surfacing to captivate audiences, such as concise tweets, engaging TikToks, and creative reels.

Generative AI is playing a transformative role in the production processes, democratizing creativity and empowering individuals to generate a wide range of content, including images, videos, articles, and music. ✍ 📹 🎶

Let's delve into some tangible examples of how generative AI is reshaping the media landscape:

#28 AI-based content personalization
👉 Example: BuzzFeed’s Infinity Quizzes 

One example of how media outlets can utilize generative AI for their content is BuzzFeed. In February 2023, they launched their first "Infinity Quizzes," which create personalized quizzes for users based on a few inputs.

#29 AI solutions for more immersive user experiences
👉 Example: My AI on Snapchat

Snapchat has recently introduced My AI, an AI chatbot that can answer users' questions and engage in conversations. Whether it's answering trivia questions, offering gift advice, providing trip planning assistance, or suggesting dinner options, My AI offers a personalized experience driven by AI.

#30 AI apps for scalable content creation
👉 Example: Canva

Canva is a design platform that offers AI-powered solutions for content creation. Through its AI capabilities, Canva streamlines the process of creating visual content by providing features for resizing, image and video editing, generating AI text to speech avatars, and converting text to images.

#31 AI for ideating different solutions, formats, concepts… 
👉 Example: Sudowrite

Sudowrite is an interactive AI writing assistant that offers valuable features like rewriting paragraphs in various styles, creative brainstorming, and character generation. Developed by writers, it provides an enjoyable user experience and produces remarkably human-like stories.

#32 AI-generated art
👉 Example: Midjourney

Midjourney is a cutting-edge image generator that transforms text descriptions into captivating images. With its advanced capabilities in generating intricate compositions, realistic edits, and incorporating diverse details, it is pushing the boundaries of visual art creation.

Want to know more about how generative AI is going to transform the media industry?

Check out this article: 

Generative AI examples in retail
Generative AI is redefining the way we shop and interact with brands, bringing convenience and efficiency to consumers while empowering retailers to deliver targeted marketing campaigns, optimize pricing strategies, and gain valuable insights into consumer behavior.

The possibilities that generative AI offers in the retail sector are unprecedented, and here are some of the notable examples:

#33 AI-generated product images
👉 Example: Lalaland

Lalaland transforms product creation for the fashion industry by eliminating the need for physical samples. Users can effortlessly select a model/avatar, apply their design, and generate the final image. The app provides diverse plans with options for various body sizes, hairstyles, body shapes, custom poses, and more.

#34 AI-generated mockups
👉 Example: Dall-E 

Dall-E is an AI image generator that creates images based on text descriptions. This means that a process that previously required a physical product can now be replaced by generative AI. It can generate hyper realistic images and mockups that are literally impossible to distinguish from actual photographs.

#35 AI-generated product descriptions
👉 Example: Copy.ai 

Catering to the diverse needs of marketers, this AI text generator proves to be a valuable asset for crafting various types of product descriptions. Whether it's for emails, product pages, Instagram, or ads, it covers a wide range of writing requirements.

#36 AI-powered customer service chatbots 
👉 Example: Conversica 

Conversica is an AI-powered solution that automates customer follow-ups and drives meaningful engagements. It seamlessly integrates with multiple tools commonly used in retail, such as Hubspot, Marketo and Salesforce.

#37 AI-supported search results for enhanced shopping experiences
👉 Example: Bard 

Bard, a conversational AI chatbot created by Google, is changing the shopping experience thanks to its interactive user interface. Available in three languages and accessible in over 180 countries and territories, Bard engages in natural conversations and fetches information from the web to assist users in making informed purchasing decisions.

Generative AI examples in manufacturing
Gone are the days of traditional manufacturing as we knew it. Today, the manufacturing industry is a vibrant and rapidly evolving landscape, where technological advancements and streamlined processes are revolutionizing production. 

One such advancement is generative AI, which brings forth multiple benefits. Here's how it can be used:

#38 AI-driven product development and design 
👉 Example: Midjourney 

Midjourney is an AI image generator that can create realistic images based on detailed text inputs. Manufacturers can utilize it to generate prototypes, quick mockups, and visualizations without the necessity of physical samples.

#39 AI apps for enhanced training and simulation
👉 Example: 3D simulation by Protostar.ai 

This AI app leverages extensive data collected from diverse sensors and sources to construct a digital replica of a facility or factory. By utilizing real-world information, it can create simulations that provide predictive insights into product performance and process outcomes.  

#40 AI for customer interactions and support 
👉 Example: Tidio 

Tidio is a customer support AI software that empowers small and medium-sized organizations with real-time chat, personalized recommendations, and task automation. It’s easy to set up and their basic plan is free to use.

#41 AI solutions for finding answers to complex issues
👉 Example: Wizdom.ai

Wizdom is an AI solution that analyzes vast amounts of data from the global research ecosystem to offer valuable insights for decision-making. With its comprehensive approach, it empowers users to make informed decisions and stay at the forefront of advancements in their field.

#42 AI apps for streamlined communications
👉 Example: Hyperwrite 

HyperWrite is a user-friendly online platform and Chrome extension that assists with copywriting, enabling users to refine their writing and enhance productivity. It can write different types of text, from emails to social media posts to long articles.

Generative AI examples in construction and real estate sector
The construction and real estate sector has experienced a substantial transformation in recent years. 

Through the integration of advanced technologies such as modeling, drones, and prefabrication methods, the industry has transitioned from traditional manual processes to a more efficient and digitally-driven approach. This shift has facilitated enhanced project management, cost control, and accelerated construction timelines.

However, the transformation does not end there - generative AI is another technology poised to make a tremendous impact in this field.

#43 AI for rendering
👉 Example: Vizcom 

It enables designers and architects to swiftly create and render designs with a multitude of options, including color, material, finish, and part-specific modifications. The result is faster and more versatile design iterations than ever before and thus better user experience for clients.

#44 AI chatbots
👉 Example: ChatGPT

ChatGPT is a state-of-the-art AI chatbot that utilizes natural language processing to generate human-like conversations. Users can participate in interactive dialogues, asking questions, seeking additional information, or even requesting alternative responses. Although ChatGPT's knowledge is based on data available until 2021, its exceptional accuracy is truly remarkable.

#45 AI design solutions
👉 Example: Maket.ai  

Maket is an AI tool that empowers architects, designers, builders, contractors, and developers in the residential industry. Its core feature is automated floorplan generation. Additionally, Maket assists users in navigating zoning codes and offers a wide range of styles to explore.

#46 AI-powered communication and marketing solutions for the industry
👉 Example: NeuralText 

NeuralText is a versatile generative AI app equipped with three powerful features: Paragraph Generator, Content Outline, and Product Description. It also goes beyond content creation by assisting with SEO optimization.

Generative AI examples in agriculture
Despite the revolution in the agricultural industry, it continues to face challenges such as climate change, resource scarcity, market volatility, and labor shortages, to name just a few.

However, by harnessing advanced technologies, including the integration of generative AI, farmers can overcome these hurdles and achieve optimized crop production, efficient resource management, and sustainable practices.

#47 AI for agricultural education
👉 Example: Farmer.chat  

Farmer.CHAT is an AI-based farmer advisory service that connects governments and farmers for real-time communication. It provides data-driven insights and decision-making tools to optimize crop management, reduce waste, and increase yields. With a combination of documents, videos, and vetted data sources, Farmer.CHAT delivers actionable recommendations to farmers in India, Ethiopia, and Kenya.

#48 AI for marketing and content generation
👉 Example: AdCreative.ai  

This generative AI app can be used to create compelling ad creatives as well as organic social media posts. It’s very easy to use - based on target audience and platform preferences, the AI algorithm generates visuals and text in minutes.

#49 AI for streamlining business operations
👉 Example: Zia 

Zia is an AI-powered virtual assistant that provides a comprehensive suite of business support services. Zia helps users with many business-related tasks, including data gathering, insightful analytics, email translation, and proficient writing assistance.

#50 AI for decision support in farming
👉 Example: Semantic Scholar 

Semantic Scholar is an invaluable resource for researchers seeking expedited access to emerging scientific knowledge. With a comprehensive index of over 2 million academic research papers, this AI-powered application swiftly extracts key insights, enabling users to stay abreast of the latest trends in their respective fields.

Conclusion
In conclusion, it is evident that the generative AI landscape is flourishing with a wide range of tools catering to diverse industries. 

With new tools emerging daily, we will continue to monitor and expand our list to stay up-to-date in this dynamic realm of AI. \n Bạn là một giáo sư về Trí tuệ nhân tạo, đặc biệt là Generative AI. Dựa vào 3 nguồn này. Bạn hãy viết một bài viết chỉnh chu, đầy đủ, chi tiết, dễ hiểu, thú vị, hấp dẫn về các ứng dụng của Generative AI và các chi tiết kỹ thuật sử dụng đằng sau nó bằng Tiếng Việt, bao quát nội dung cả 3 bài viết. Nội dung bài viết không dưới 3000 từ. Bạn có thêm bổ sung thêm chi tiết chính xác nếu cần thiết để làm rõ vấn đề. Let's think step by step!