Download or read book Gen AI Efficient Growth written by Iasodhara Hardt and published by . This book was released on 2023-07-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: How Leading Organizations Can Use Generative AI to Gain Time and Build Code More Efficiently. “Gen AI: Efficient Growth" is an indispensable guide for anyone looking to understand and harness the power of generative artificial intelligence. This book serves as an excellent resource for tech enthusiasts, AI researchers, developers, and business leaders alike. Written by prominent leaders in the AI field from Compass.UOL, this book offers deep insights into the principles and applications of generative AI, enabling organizations to build more efficient code, save valuable time, and achieve unprecedented growth. The authors deftly balance theoretical knowledge with practical guidance, making it an accessible read for beginners while also providing advanced insights for seasoned professionals. This book presents real-world use cases of generative AI in leading organizations and shares their journeys towards efficiency and growth. Readers will be privy to the trials, errors, and successes of these organizations as they navigated the largely uncharted territory of generative AI. By the end of this book, you'll have a comprehensive understanding of how you can effectively utilize generative AI in your own organization. Don't miss out on the chance to stay ahead of the curve. Dive into "Gen AI: Efficient Growth" and step into the future of artificial intelligence.

Download or read book Artificial Intelligence written by Harvard Business Review and published by HBR Insights. This book was released on 2019 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal and published by University of Chicago Press. This book was released on 2024-03-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Download or read book Broadening the Gains from Generative AI written by Fernanda Brollo and published by International Monetary Fund. This book was released on 2024-06-17 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative artificial intelligence (gen AI) holds immense potential to boost productivity growth and advance public service delivery, but it also raises profound concerns about massive labor disruptions and rising inequality. This note discusses how fiscal policies can be employed to steer the technology and its deployment in ways that serve humanity best while cushioning the negative labor market and distributional effects to broaden the gains. Given the vast uncertainty about the nature, impact, and speed of developments in gen AI, governments should take an agile approach that prepares them for both business as usual and highly disruptive scenarios.

Download or read book Deploying Machine Learning written by Robbie Allen and published by Addison-Wesley Professional. This book was released on 2019-05 with total page 99998 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.

Download or read book Artificial Intelligence in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2019-04-15 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Download or read book OECD Principles of Corporate Governance written by OECD and published by OECD Publishing. This book was released on 1999-10-06 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: These principles of corporate governance, endorsed by the OECD Council at Ministerial level in 1999, provide guidelines and standards to insure inclusion, accountability and abilit to attract capital.

Download or read book How And Why Artificial Intelligence Raises Productive Efficiency written by Johnny Ch Lok and published by . This book was released on 2021-04-17 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why does (AI) and digital transformative combination technologies raise productivity growth or improve service performance? From 1995 to 2004 year, US experienced an acceleration in productivity growth, largely reflecting gains associated with the diffusion of ICT technologies. From the early to mid-2000 year onward, productivity growth has slowed down. The potential impacts of the ongoing digital transformation on productivity also need to consider in the context of this long term slowdown. When, the precise reasons for today's productivity remain difficult to a number of factors are likely to contribute as below factors: The first factor that has limited the impacts of digital transformation is the state of diffusion of digital technologies across the economy. When, many firms now have across to broadband networks, the use of more advanced digital tools and application with firms still differs greatly across countries. Moreover, these are important differences between rapid technological change, advanced technologies are initially only adopted by some leading firms and then only later diffuse to all firms as the technologies because more established new business models grow, such as applying digital and (AI) technological combine method to raise productivity growth is caused and costs fall. Consequently, these is large demand between what can be automated from a technical point of view and what may already be implemented by frontier firms and what is actually being achieve to raise productivity growth aim. So, (AI) and digital transformative technology influence future raising productivity growth or improving service aim achievement for many manufacturing and service industry demand.The second factor indicator that the available evidence suggests that the wide-spread benefits of digitalization productivity are not enough. Firms expect to help strengthen investment ( in tangible and intangible assets), e.g. (AI) technology. The same time, there are now starting to experience labor shortages, e.g. in certain technical occupations, such as data scientists. Due to the technological change is fast and growing demand for productivity growth has been increasing. SO, it will influence future (AI) robotic learning system and digital technological combination to be applied to manufacturing and service industries' needs to be raised. Due to many firms expect to find methods to raise productivity growth in order to reduce production costs.However, (AI) and digital technological development can cause multiple forms of disruption, from shifts in demand for workforce skills to changes in market structure, the need for new business models, new patterns of trade and investment. The (AI) and digital potentially transformative technologies can create new inventions, e.g. from quantum computing and advanced energy storage to new forms of 3D printing, big data analytics and neuro-technologies. These new product creative industries must lead the new product manufacturers to expect to learn how to apply (AI) and digital technology to raise productivity growth when their manufacturing processes. IN fact, (AI) is the ability of learning machine and system to acquire and apply knowledge and carry out intelligent behavior. Early efforts to develop (AI) centered on defining rules that software could use to perform a tack, such systems would work in speech recognition, (AI) skill. Increase in computational power, new statistical methods and advances in big data, have brought major breakthroughs to the field of (AI), especially in " vertical " (AI) like automated vehicles as opposed to " general". (AI) with machine learning algorithms that identify complex patterns in large data sets. Software applications can perform tasks and simultaneously learn how to improve productive performance.

Download or read book Gen AI written by Mauro Cazzaniga and published by International Monetary Fund. This book was released on 2024-01-14 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has the potential to reshape the global economy, especially in the realm of labor markets. Advanced economies will experience the benefits and pitfalls of AI sooner than emerging market and developing economies, largely due to their employment structure focused on cognitive-intensive roles. There are some consistent patterns concerning AI exposure, with women and college-educated individuals more exposed but also better poised to reap AI benefits, and older workers potentially less able to adapt to the new technology. Labor income inequality may increase if the complementarity between AI and high-income workers is strong, while capital returns will increase wealth inequality. However, if productivity gains are sufficiently large, income levels could surge for most workers. In this evolving landscape, advanced economies and more developed emerging markets need to focus on upgrading regulatory frameworks and supporting labor reallocation, while safeguarding those adversely affected. Emerging market and developing economies should prioritize developing digital infrastructure and digital skills

Download or read book AI 2041 written by Kai-Fu Lee and published by Crown Currency. This book was released on 2024-03-05 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.

Download or read book Artificial Intelligence For Business written by B. B. Jankoski and published by . This book was released on 2024-01-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to get ahead, you're going to need AI... and that means understanding what to do with it. Read on... Want to know the secret other businesses are using to take the lead in the market and hit a never-ending stream of ambitious targets? Of course, you do... but the surprising thing is, it's no secret... It's the thing you've probably been avoiding like the plague. They're using artificial intelligence - and they're doing it so well that they're dodging all the pitfalls you've been worried about. You can too - and when you do, you'll see that there's nothing to worry about at all. Think of any company that's become a household name, and you can bet your bottom dollar that they're using AI. Netflix, Google, Amazon, you name it... They all understand the potential of artificial intelligence, and they know how to use it to its best effect. For most skeptical business owners, there's a misconception that AI is an unpredictable new addition to technology, but the surprising truth is that it's been around since the 50s... and it's being used in every field. AI is a tool... and that means that to make it work, you need to understand how to use it. No matter the size of your company or your background knowledge of the technical side of your operations, the ticket to success is AI - a technology that's now accessible to everyone... a technology that's now accessible to you. Inside this complete guide to using AI to skyrocket the success of your business, you'll find all the foundational knowledge you need to make a huge difference to your company. You'll discover: The role of AI in business - and why understanding it matters From "narrow AI" to "general AI"... every type of artificial intelligence demystified and made simple A complete guide to the most popular technologies used in business (so you can make the right call for your company) The best tools to use for content creation and management - and how to incorporate them effectively A close look at the ethical landscape... allowing you to make responsible decisions every step of the way Easy steps for adopting AI and integrating it into your operations seamlessly The success stories you definitely want to learn from (there's no reason you can't be like Tesla too!) How to apply AI to every area of your business - from data analytics to customer management (and everything in between) The challenges and risks you need to be aware of to avoid making costly errors Clear insight into the future of AI in business - and why you need to get ahead of the game now! And much more. If you thought AI was a passing phase with too many minefields to navigate to be worth the investment, think again! Integrating AI into your business is key to your success... and if you don't start incorporating it now, you're going to be left behind. No matter what your experience or understanding is right now, you can harness the power of AI in your business... All you need is a strong foundation to build from - and you're about to get everything you need to know to create it. If you want to keep up with the competition and take your business to the next level, then scroll up and click "Add to Cart" right now!

Download or read book Lean AI written by Lomit Patel and published by "O'Reilly Media, Inc.". This book was released on 2020-01-30 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can startups successfully scale customer acquisition and revenue growth with a Lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. But that hasn’t been an easy task—until now. With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company. You’ll learn how to adapt, customize, and personalize cross-channel user journeys to help your company attract and retain customers—to usher in the new age of Autonomous Marketing. Learn how AI and automation can support the customer acquisition efforts of a Lean Startup Dive into Customer Acquisition 3.0, an initiative for gaining and retaining customers Explore ways to use AI for marketing purposes Understand the key metrics for determining the growth of your startup Determine the right strategy to foster user acquisition in your company Manage the increased complexity and risk inherent in AI projects

Download or read book CHATGPT SCALING SUCCESS ADVANCED AI STRATEGIES FOR GROWTH written by ALESSANDRO HOFFMANN and published by ALESSANDRO HOFFMANN. This book was released on with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you ready to transform your business with AI? Wondering how advanced AI strategies can boost your growth? Need insights into scaling your operations effectively using AI? Discover the power of advanced AI in driving business success with this essential guide. Delve into sophisticated strategies that leverage AI technologies to propel business growth and streamline operations. From foundational concepts to innovative applications, this book provides the knowledge and tools necessary to navigate the complex landscape of AI in the business world. Key insights include: · Understanding AI Capabilities: Grasp the full potential of AI and how it can be applied across different business sectors. · Data-Driven Decision Making: Learn how to utilize AI for analyzing data and making informed strategic decisions. · Automation and Efficiency: Implement AI solutions to automate processes and increase operational efficiency. · AI in Marketing and Sales: Enhance customer engagement and boost sales with AI-powered marketing tools. · Future Trends in AI: Stay ahead of the curve by understanding emerging AI trends and how they can impact your business. Whether you are a startup owner eager to implement AI, a manager looking to enhance team productivity, or a business strategist aiming to gain a competitive edge, this guide offers actionable insights and practical advice. It simplifies complex concepts, making AI accessible to anyone interested in leveraging this transformative technology. Capitalize on the AI revolution today. Utilize this guide to harness the strategic power of advanced AI and steer your business towards unprecedented growth. Don't miss out on the opportunity to be at the forefront of innovation. Act now and transform your business approach with AI!

Download or read book Generating Entrepreneurial Ideas With AI written by Özsungur, Fahri and published by IGI Global. This book was released on 2024-07-18 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology and entrepreneurship converge in the digital era, presenting many possibilities and hurdles. One of the most pressing issues facing entrepreneurs is the ability to harness the power of artificial intelligence (AI) to drive innovation and create sustainable businesses. While AI holds immense potential for transforming entrepreneurial ideas across various fields, many individuals and organizations need help understanding its practical applications and implications. Generating Entrepreneurial Ideas With AI offers a comprehensive solution to this challenge. By examining the intersection of AI and entrepreneurship from a multidisciplinary perspective, we provide readers with invaluable insights and strategies for leveraging AI to enhance their entrepreneurial endeavors. This book is designed for students, entrepreneurs, policymakers, and academics. It is a practical guide and roadmap for integrating AI into entrepreneurial practices. Through a series of in-depth analyses and case studies, we demonstrate how AI can effectively identify new business opportunities, optimize operations, and enhance the overall competitiveness of ventures.

Download or read book Artificial Intelligence in Asset Management written by Söhnke M. Bartram and published by CFA Institute Research Foundation. This book was released on 2020-08-28 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Download or read book Using Generative AI Effectively in Higher Education written by Sue Beckingham and published by Taylor & Francis. This book was released on 2024-06-14 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using Generative AI Effectively in Higher Education explores how higher education providers can realise their role and responsibility in harnessing the power of generative artificial intelligence (GenAI) ethically and sustainably. This rich collection of established and evaluated practices from across global higher education offers a practical guide to leading an agile institutional response to emerging technologies, building critical digital literacy across an entire institution, and embedding the ethical and sustainable use of GenAI in teaching, learning, and assessment. Including reflections from stakeholders testifying to the value of the approaches outlined, the book examines how higher education can equip staff and students with the critical-digital literacy necessary to use GenAI in work, study, and social life responsibly and with integrity. It provides an evidence-based resource for any kind of higher education (HE) provider (modern, college-based, and research-focused) looking for inspiration and approaches which can build GenAI capability and includes chapters on the development of cross-institutional strategy, policies and processes, pedagogic practices, and critical-digital literacy. This resource will be invaluable to educational leaders, educational developers, learning developers, learning technologists, course administrators, quality assurance staff, and HE teachers wishing to embrace and adapt to a GenAI-enabled world.