{"product_id":"134322","title":"Generative AI Utilization Trends by Industry ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jYC5RwgvZiXgTCmB0DygjGLpeR5hn.png?v=1765097198\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Generative AI Utilization Trends by Industry \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/133337453\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e  \u003cdiv\u003eJust thinking about ChatGPT or Midjourney won't keep up with the generative AI trends currently occurring in each industry.\u003cbr\u003e In this book, we'll explore how leading companies are using generative AI to build their businesses and monetize them.\u003cbr\u003e This book is a collection of business success stories utilizing generative AI, covering projects and services currently underway across various industries and companies.\u003cbr\u003e We've collected successful cases of generative AI businesses across various industries, including chatbots in financial institutions, virtual experiences in the beauty industry, anomaly management in manufacturing, virtual design simulations, new drug discovery and clinical testing in the bio industry, and document creation and review in specialized fields such as medicine and law.\u003cbr\u003e\n\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003ePart 1.\u003cbr\u003e Generative AI adoption strategy\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003ePrompt Engineering | API Integration | Plugin Utilization | Fine-Tuning | Developing Your Own Model | Hybrid Approach | Leveraging AI Platforms | Utilizing No-Code\/Low-Code Platforms\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePart 2.\u003cbr\u003e Job-Specific Generative AI Utilization Cases\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 1.\u003cbr\u003e Human Resources Recruitment\u003cbr\u003e\u003cbr\u003e Job posting creation | Candidate fit analysis | Interview and simulation support | Performance and innovation\u003cbr\u003e Case Study - SAP | Unilever\u003cbr\u003e\u003cbr\u003e 2.\u003cbr\u003e Marketing and Advertising\u003cbr\u003e\u003cbr\u003e Generate diverse ad copy | Create dynamic video advertising content | Personalized landing pages and emails | Chatbots and virtual assistants | Performance and innovation\u003cbr\u003e Case Studies - Coca-Cola | Nike | Hyundai Motor Company\u003cbr\u003e\u003cbr\u003e 3.\u003cbr\u003e Design and Manufacturing\u003cbr\u003e\u003cbr\u003e Generative Design | Manufacturing Defect Analysis and Rapid Response | Predictive Maintenance | Production Process Optimization | Performance and Innovation\u003cbr\u003e Applications - Airbus | US Steel | Siemens | Nike | Matterport\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePart 3.\u003cbr\u003e Generative AI Use Cases by Industry\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 4.\u003cbr\u003e Finance\u003cbr\u003e \u003cbr\u003eFinancial information retrieval and analysis | Personalized financial recommendations | Advanced chatbot functionality | Fraud detection | Code modification assistance for regulatory changes | Performance and innovation\u003cbr\u003e Case Studies - Mirae Asset Securities | Dunamu | Morgan Stanley | Kensho Technologies\u003cbr\u003e\u003cbr\u003e 5.\u003cbr\u003e Medical and Biopharmaceuticals\u003cbr\u003e\u003cbr\u003e New drug development | Personalized medicine | Aiding clinical diagnosis | Generating synthetic medical data | Automating clinical documentation | Performance and innovation\u003cbr\u003e Case Studies - Amazon | NVIDIA | Moderna\u003cbr\u003e\u003cbr\u003e 6.\u003cbr\u003e law\u003cbr\u003e\u003cbr\u003e Generative AI Driving Innovation in Legal Practice | Litigation | Transactions and Contracts | Performance and Innovation\u003cbr\u003e Case Studies - Westro | LexisNexis | RegalOn Technologies | Luminance | Intellicon Labs, Law \u0026amp; Good, Law \u0026amp; Company\u003cbr\u003e\u003cbr\u003e 7.\u003cbr\u003e automobile\u003cbr\u003e\u003cbr\u003e Integration of ChatGPT and Navigation | Integration of ChatGPT and Driver Assistance Systems | Providing Real-Time Traffic Information | Performance and Innovation\u003cbr\u003e Case Studies - Volkswagen | BMW | Sony Honda Mobility\u003cbr\u003e\u003cbr\u003e 8.\u003cbr\u003e Distribution (shopping)\u003cbr\u003e \u003cbr\u003ePersonalized Marketing | Improving Customer Experience | Demand Forecasting and Reducing Logistics Costs | Performance and Innovation\u003cbr\u003e Case Studies - Stitch Fix | Wayfair | Carrefour\u003cbr\u003e\u003cbr\u003e 9.\u003cbr\u003e Entertainment and Games\u003cbr\u003e\u003cbr\u003e Creative storylines and content creation | Automated game creation and improved development processes | Enhanced NPC character functionality | Simplified testing and debugging | Performance and innovation\u003cbr\u003e Case Studies - Netflix | Pixar | Epic Games | Yahaha Studios | Music: \"Beethoven Symphony X (10)\" | Film: \"One More Pumpkin\" | Game: \"Minecraft\"\u003cbr\u003e\u003cbr\u003e 10.\u003cbr\u003e education\u003cbr\u003e\u003cbr\u003e Educational Innovation Driven by Generative AI | Personalized Learning | Virtual Teachers and Tutors | Course Design and Content Creation | Efficient Learning Management | Performance and Innovation\u003cbr\u003e Case Studies - Duolingo | Kanmigo\u003cbr\u003e\u003cbr\u003e 11.\u003cbr\u003e publishing\u003cbr\u003e\u003cbr\u003e Using Generative AI in Publishing | Authors' ChatGPT User Experience | Performance and Innovation\u003cbr\u003e Applications - Springer Nature | Forbes | Hidden Brain Research Institute\u003cbr\u003e\u003cbr\u003e 12.\u003cbr\u003e Beauty\u003cbr\u003e \u003cbr\u003eVirtual Experiences Combining AI and Augmented Reality | Performance and Innovation\u003cbr\u003e Case Study - ModiFace | L'Oréal\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePart 4.\u003cbr\u003e Problems to be solved and the future to come\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 13.\u003cbr\u003e Problems faced\u003cbr\u003e\u003cbr\u003e Content Copyright | Bias and Fairness | Declining Quality and Creativity | Privacy | Efficient Resource Management and Sustainability | Labor Market Changes\u003cbr\u003e\u003cbr\u003e 14.\u003cbr\u003e Guidelines for Using Generative AI\u003cbr\u003e\u003cbr\u003e Become familiar with generative AI tools | Clarify team members' roles and responsibilities | Define the problem clearly | Solve hallucination problems\u003cbr\u003e\u003cbr\u003e 15.\u003cbr\u003e Future outlook\u003cbr\u003e\u003cbr\u003e The evolution of LLM is ongoing | The emergence of semi-large language models (sLLMs) | Combining on-device AI with sLLMs\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eDetailed image\u003c\/b\u003e \u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/image.yes24.com\/momo\/TopCate4766\/MidCate001\/476507608.png\" border=\"0\" alt=\"Detailed Image 1\"\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eInto the book\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e The industry has already created a lot of value with existing methods called “analytical AI.” \u003cbr\u003eHowever, most analytical AIs are developed to perform specific tasks, making them difficult to apply to a wide range of situations or new situations.\u003cbr\u003e On the other hand, ‘generative AI’ overcomes these limitations and can be applied to various situations.\u003cbr\u003e So, while analytical AI is closer to a knowledgeable strategist with exceptional data analysis and decision-making skills, generative AI is closer to an artist who creates novel and creative content.\u003cbr\u003e These characteristics are clearly evident in the fields of application.\u003cbr\u003e Analytical AI is suitable for business intelligence, financial modeling, and predictive analytics, while generative AI is more widely used in creative fields such as art, design, and content creation.\u003cbr\u003e\u003cbr\u003e --- p.11\u003cbr\u003e \u003cbr\u003eCurrently, most books focus solely on technical explanations, tool usage, and prompt utilization, and it is difficult to find books that cover business success stories that apply generative AI in real-world industrial settings.\u003cbr\u003e As a result, the industry professionals I met were eager to increase their value by leveraging generative AI, and they were also curious about business applications.\u003cbr\u003e When planning a new project, the first thing a company does is to look for so-called \"advanced or successful cases.\"\u003cbr\u003e However, there are not many widely known examples in the field of generative AI.\u003cbr\u003e This is partly because generative AI is relatively new, but also because companies are reluctant to share their success stories publicly.\u003cbr\u003e\u003cbr\u003e --- p.17\u003cbr\u003e \u003cbr\u003eAI can handle repetitive, labor-intensive tasks like drafting job ads describing the job description, analyzing candidate responses, and producing reports comparing candidates' skills to the job openings.\u003cbr\u003e Using ChatGPT, recruiters can resolve these issues much faster than before.\u003cbr\u003e\u003cbr\u003e --- p.48\u003cbr\u003e\u003cbr\u003e The world's biggest advertisers, from food giant Nestlé to consumer goods company Unilever, are already using generative AI to create and deliver ads.\u003cbr\u003e WPP, the world's largest advertising agency in the UK, is partnering with consumer goods companies to use generative AI in their advertising campaigns.\u003cbr\u003e You can create ads for just 5-10% of the cost of traditional advertising, and you no longer need to travel to the North Pole or Africa to film them.\u003cbr\u003e\u003cbr\u003e --- p.66\u003cbr\u003e \u003cbr\u003eLG Group plans to widely apply the use of an industrial autonomous AI agent called EXAONE across its production lines in electronics, chemicals, bio, and telecommunications.\u003cbr\u003e It is possible to predict and detect equipment shutdowns and even detect anomalies that may occur during component assembly.\u003cbr\u003e This can be said to be an example of a smart factory that has the triple benefit of increased productivity, reduced costs, and improved quality.\u003cbr\u003e\u003cbr\u003e --- p.82\u003cbr\u003e\u003cbr\u003e Morgan Stanley, an investment banking and asset management firm, launched a generative AI assistant based on GPT-4 for its wealth management advisors and support staff in September 2023.\u003cbr\u003e This is the Morgan Stanley AI Assistant (AI @ Morgan Stanley Assistant). \u003cbr\u003eThis tool provides quick access to approximately 100,000 research reports and documents. The AI ​​assistant aims to provide quick and in-depth insights from massive piles of reports and documents for wealth management advisors.\u003cbr\u003e It also reduces the time spent on various research tasks, allowing us to devote more time and focus on our customers.\u003cbr\u003e\u003cbr\u003e --- p.118\u003cbr\u003e\u003cbr\u003e Generative AI is driving innovation in healthcare, playing a role in a wide range of fields, from new drug development and clinical diagnosis to the synthesis and management of medical data.\u003cbr\u003e Not only does it rapidly discover new drug candidates, it also creates new drug candidates by combining existing drugs in new ways.\u003cbr\u003e Additionally, the lack of datasets required for new drug clinical trials is being filled with data created using AI.\u003cbr\u003e\u003cbr\u003e --- p.126\u003cbr\u003e \u003cbr\u003eFor law firms that handle a lot of documents, such as case law research, litigation prediction, contract review and analysis, and document automation, legal tech is perceived as a time-saving service. This is because automation using AI's natural language processing and machine learning technologies can significantly increase efficiency.\u003cbr\u003e Legal services utilizing legal tech are rapidly spreading overseas.\u003cbr\u003e Already, large law firms and accounting firms are leveraging this technology to streamline labor-intensive tasks.\u003cbr\u003e A number of legal tech startups have also emerged.\u003cbr\u003e There are reports that a large domestic law firm has adopted AI lawyers, and a startup has also launched that uses AI to automatically prepare simple litigation documents.\u003cbr\u003e\u003cbr\u003e --- p.142\u003cbr\u003e\u003cbr\u003e Generative AI chatbots, including ChatGPT, are being integrated with automotive navigation systems, AI voice assistant systems, and driver assistance systems to enhance the driving experience and safety. \u003cbr\u003eAs generative design and AI are integrated into the automotive design process, automotive designs will evolve into more personalized and optimized forms.\u003cbr\u003e By analyzing various driving environments and user preferences, we suggest the optimal body shape and interior space configuration accordingly.\u003cbr\u003e\u003cbr\u003e --- p.172\u003cbr\u003e\u003cbr\u003e Decorify is a virtual room styler provided by Wayfair, an American online retailer that primarily deals with furniture and interior products. It is a service that uses generative AI to help users design their homes and shop for furniture.\u003cbr\u003e You can create various interior images with furniture arranged in a room, reflecting user feedback.\u003cbr\u003e\u003cbr\u003e --- p.181\u003cbr\u003e\u003cbr\u003e Pixar introduced generative AI to overcome the limitations of the existing animation production process. \u003cbr\u003eAs a result, the level of animation was raised while production time and cost were reduced by automatically generating storylines, background images, character designs, music, etc. for animated films.\u003cbr\u003e\u003cbr\u003e --- p.196\u003cbr\u003e\u003cbr\u003e Phobos has developed two AI tools called 'Adelaide' and 'Vertie'.\u003cbr\u003e Launched in 2023, Adelaide uses generative AI to search and personalize Forbes articles relevant to readers' interests.\u003cbr\u003e Prior to this, in 2019, we developed Bertie, an AI-based content management system that provides contributors (article writers) with features such as topic recommendations, draft article writing, and grammar checks.\u003cbr\u003e\u003cbr\u003e --- p.244\u003cbr\u003e\u003cbr\u003e L'Oréal has been the first to discover new trends in cosmetics and develop products that meet consumer needs. \u003cbr\u003eL'Oréal has launched L'Oréal Beauty Genius, a virtual makeup try-on tool equipped with a generative AI chatbot using a large database collected from many countries around the world.\u003cbr\u003e It uses personal photo information to check skin tone and condition and recommends appropriate cosmetics or makeup methods.\u003cbr\u003e\u003cbr\u003e --- p.254\u003cbr\u003e\u003cbr\u003e Similar problems arise in the field of natural language processing.\u003cbr\u003e Some natural language processing systems tend to process occupational titles like \"doctor\" as strongly associated with masculine characters, and to process titles like \"nurse\" as strongly associated with feminine characters.\u003cbr\u003e This is because the gender bias inherent in the training data has been learned.\u003cbr\u003e In the field of image generation, bias is also shown, with cases where a male image is generated for the word 'CEO' and a female image is generated for the word 'kitchen'.\u003cbr\u003e\u003cbr\u003e --- p.265\u003cbr\u003e \u003cbr\u003eThe CEO and CTO must work closely together. The CEO provides the CTO with the necessary resources and support and continuously monitors the project's progress.\u003cbr\u003e The CTO regularly reports to the CEO on technical progress and potential risks. If data quality issues arise during the AI ​​model training process, the CTO explains the severity of the issue to the CEO and discusses the need for additional resource allocation or strategic adjustments to address the issue.\u003cbr\u003e Successful AI application development is possible when the strategic vision and strong support of a CEO with insight and mid- to long-term foresight are combined with the technical leadership of an experienced and capable CTO.\u003cbr\u003e\u003cbr\u003e --- p.279\u003cbr\u003e\u003cbr\u003e Concerns about external transfer of customer data can be particularly serious in areas like the legal industry, which handles sensitive civil and criminal information about customers. \u003cbr\u003eAs a countermeasure, some argue that LLMs should continue to be used while enforcing very strict security rules and monitoring. However, companies skeptical of this approach are adopting sub-large language models (sLLMs) to alleviate security concerns while reaping the benefits of AI technology.\u003cbr\u003e\u003cbr\u003e --- p.290\u003cbr\u003e\u003cbr\u003e On-device AI works completely differently from LLM-based AI like ChatGPT.\u003cbr\u003e Large-scale LLMs perform calculations based on computing resources such as servers in remote data centers via the cloud and then receive the results.\u003cbr\u003e However, on-device AI processes data on the local device without sending it to the cloud.\u003cbr\u003e That is, it collects and calculates information on its own without sending the information to the server.\u003cbr\u003e It can be said that AI has been made lighter to be implemented within the device.\u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e --- p.293\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e  \u003cdiv\u003eThe 44th habit suggested by the Good Habits Institute is the habit of utilizing generative AI in business.\u003cbr\u003e Generative AI is coming to us with a bang.\u003cbr\u003e Many companies are already considering how to integrate generative AI into their businesses and what they need to do to achieve this.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePart 1.\u003cbr\u003e Generative AI adoption strategy\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Part 1 introduces what companies need to consider first before adopting generative AI and what adoption methodologies are available.\u003cbr\u003e We present several methods, including prompt engineering, API integration, plugin utilization, AI platform utilization, and no-code\/low-code platform utilization, and explain the pros and cons of each. \u003cbr\u003eWhether your business cannot upload data to an external cloud for customer information security reasons, or you're more likely to leverage creative tools to improve productivity, is a large, general-purpose language model appropriate, or is a smaller, specialized language model more appropriate?\u003cbr\u003e In this way, companies can determine which generative AI adoption strategy is most advantageous for their specific circumstances.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePart 2.\u003cbr\u003e Job-Specific Generative AI Utilization Cases\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e We present various examples of how actual generative AI is being utilized in various fields (human resources, finance, planning, marketing, development, design, manufacturing, etc.).\u003cbr\u003e For example, we describe a company that uses AI to review and interview numerous resumes during its talent recruitment process, and uses a small workforce to evaluate and respond to applicants from around the world. \u003cbr\u003eThe advantage of this method is that it minimizes human intervention, thus eliminating hiring fraud and errors.\u003cbr\u003e We also introduce examples of using generative AI to create personalized advertisements or minimize management costs through smart factory operations.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePart 3.\u003cbr\u003e Generative AI Use Cases by Industry\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Part 3 will provide detailed examples of generative AI use cases by industry.\u003cbr\u003e We'll break it down into finance, healthcare and bio, law, automobiles, distribution, entertainment and games, education, publishing, and beauty, and show you how leading companies in each field are using generative AI to achieve their business goals.\u003cbr\u003e They can assist with creative activities such as writing advertising copy, developing animation or game stories, and composing music. They can also obtain the information you need by asking simple questions from data or documents containing various business knowledge. \u003cbr\u003eChatbots are already widely used across industries to provide 24\/7 customer service, and generative AI is also being used to create and review specialized documents, such as medical and legal documents.\u003cbr\u003e In addition, generative AI is utilized in various situations, such as creating data that is indistinguishable from reality and using it to conduct various virtual simulations, or finding data that shows abnormal signs.\u003cbr\u003e In reality, it's being used in so many different ways that simply thinking about ChatGPT or Midjourney is impossible to keep up with the current generative AI trends occurring in each industry.\u003cbr\u003e Through this book, it's important to examine how leading companies in each industry are using generative AI to conduct business and how they are successfully monetizing their businesses.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePart 4.\u003cbr\u003e Problems to be solved and the future to come\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003eThe book doesn't solely praise generative AI.\u003cbr\u003e In Part 4, we explore the problems and challenges of generative AI.\u003cbr\u003e Explains the issues of copyright and bias, and the issue of privacy.\u003cbr\u003e We also consider the problem of excessive energy use and whether there are ways to avoid it.\u003cbr\u003e Above all, it explains what companies should pay attention to, what roles the CEO and CTO should play, and what interests business and development departments should have and how they should fulfill their respective roles.\u003cbr\u003e Finally, we explore the future of generative AI, the shift from ultra-large language models to mid-sized ones, and the need and potential for generative AI to operate on-device rather than in the cloud.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e \u003cb\u003eTo sum up\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003eReaders should remember that generative AI isn't limited to the way we access the web and ask for something in the form of a prompt to produce an output.\u003cbr\u003e Through this book, I hope you'll discover the various application trends of generative AI and gain ideas about what form generative AI should take that can be applied to your company (or industry). \u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e September 23, 2024\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 320 pages | 602g | 152*225*20mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791193639214\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 1193639212 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43894530965546,"sku":"134322","price":37.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/5402bf55a183b33a22a2f89267516e64.jpg?v=1765437694","url":"https:\/\/librairie.coreenne.fr\/en\/products\/134322","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}