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Author: Tom Taulli
Publisher: Apress
ISBN: 9781484263846
Category : Computers
Languages : en
Pages : 196
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Book Description
AI is one of the fastest growing corners of the tech world. But there remains one big problem: many AI projects fail. The fact is that AI is unique among IT projects. The technology requires a different mindset, in terms of understanding probabilities, data structures and complex algorithms. There is also a need to deal with complex issues like ethics and privacy. This is where Implementing AI Systems comes in. You'll learn the step-by-step process for successful implementations of AI, backed up with numerous case studies from top companies. This book puts everything you need to know into one place – that is, it’s the handbook you need for AI. You’ll focus primarily on understanding the core concepts for AI like NLP, Machine Learning, Deep Learning and so on. This book will help you find the right areas to apply AI. What You’ll Learn Put together an effective data strategy Create models and how to successfully test them Evaluate AI tools Assemble the right team Scale AI across an organization Who This Book Is For Primarily for managers, IT professionals and executives of mid-size and large companies wanting to implement AI in their organization.
Author: Tom Taulli
Publisher: Apress
ISBN: 9781484263846
Category : Computers
Languages : en
Pages : 196
Get Book Here
Book Description
AI is one of the fastest growing corners of the tech world. But there remains one big problem: many AI projects fail. The fact is that AI is unique among IT projects. The technology requires a different mindset, in terms of understanding probabilities, data structures and complex algorithms. There is also a need to deal with complex issues like ethics and privacy. This is where Implementing AI Systems comes in. You'll learn the step-by-step process for successful implementations of AI, backed up with numerous case studies from top companies. This book puts everything you need to know into one place – that is, it’s the handbook you need for AI. You’ll focus primarily on understanding the core concepts for AI like NLP, Machine Learning, Deep Learning and so on. This book will help you find the right areas to apply AI. What You’ll Learn Put together an effective data strategy Create models and how to successfully test them Evaluate AI tools Assemble the right team Scale AI across an organization Who This Book Is For Primarily for managers, IT professionals and executives of mid-size and large companies wanting to implement AI in their organization.
Author: Bernard Marr
Publisher: John Wiley & Sons
ISBN: 1119548985
Category : Business & Economics
Languages : en
Pages : 232
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Book Description
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.
Author: Harvard Business Review
Publisher: HBR Insights
ISBN: 9781633697898
Category : Business & Economics
Languages : en
Pages : 160
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Book Description
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.
Author: Dwayne Anderson
Publisher: Estalontech
ISBN:
Category : Business & Economics
Languages : en
Pages : 64
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Book Description
Nowadays , Companies can use artificial intelligence to streamline operations and to improve the overall customer experience. With technological advances offering simpler and faster ways to automate business processes through chatbots and facial recognition, the automation of customer service, the analysis of market demand and the use of A.I technology are at an extreme level in various industries. This massive impact on business has led many companies to rely on artificial intelligence (AI) to improve their business efforts. A 2018 survey found that 47 percent of companies have integrated at least one AI capability into their business processes compared to 20 percent in 2017. 71 percent have enlisted their AI investments in the coming years. Whether you are looking to run an online business or simply improve customer service, you should think about AI because it can improve your overall business operation and save you a lot of time and money. Companies can use data to understand why customers do not adopt a consistent approach. Information derived from data can streamline business processes, speed up tasks, eliminate human error, and predict errors in your actions. Whether cost or time efficiency, AIs "ability to help companies deliver better customer experiences can lead to business growth. Implications for entrepreneurs and small businesses "As an entrepreneur I can't go wrong with A.I at any price," is a common thread amongst those interviewed for this report. While some may see the market transformation as negative for small businesses, those who are already making money from their A.I business see positive opportunity in the technology. "If you don't know how to use A.I to your advantage, you are at a tremendous disadvantage because we're going to see a surge in demand for your type of services. I believe A.I is going to be the future of business." AI affects many of the technologies you use in your day-to-day business. For example, social media marketing can benefit from integration of AI tools and technologies that companies use to share their content with the world. AI enables companies to better understand what is important for their potential customers. Many companies therefore need to explore and are considering to integrate AI technologies into their ecosystems to boost business growth, assist to reduce operating costs, increase efficiency, increase sales and improve the customer experience , and you made the right choice to get started with this book- on Implementing A.I for your Business
Author: Tony Boobier
Publisher: John Wiley & Sons
ISBN: 1119390931
Category : Computers
Languages : en
Pages : 314
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Book Description
Be prepared for the arrival of automated decision making Once thought of as science fiction, major corporations are already beginning to use cognitive systems to assist in providing wealth advice and also in medication treatment. The use of Cognitive Analytics/Artificial Intelligence (AI) Systems is set to accelerate, with the expectation that it’ll be considered ‘mainstream’ in the next 5 – 10 years. It’ll change the way we as individuals interact with data and systems—and the way we run our businesses. Cognitive Analysis and AI prepares business users for the era of cognitive analytics / artificial intelligence. Building on established texts and commentary, it specifically prepares you in terms of expectation, impact on personal roles, and responsibilities. It focuses on the specific impact on key industries (retail, financial services, utilities and media) and also on key professions (such as accounting, operational management, supply chain and risk management). Shows you how users interact with the system in natural language Explains how cognitive analysis/AI can source ‘big data’ Provides a roadmap for implementation Gets you up to speed now before you get left behind If you’re a decision maker or budget holder within the corporate context, this invaluable book helps you gain an advantage from the deployment of cognitive analytics tools.
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
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
Author: Andrew Burgess
Publisher: Springer
ISBN: 3319638203
Category : Business & Economics
Languages : en
Pages : 187
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Book Description
This book takes a pragmatic and hype–free approach to explaining artificial intelligence and how it can be utilised by businesses today. At the core of the book is a framework, developed by the author, which describes in non–technical language the eight core capabilities of Artificial Intelligence (AI). Each of these capabilities, ranging from image recognition, through natural language processing, to prediction, is explained using real–life examples and how they can be applied in a business environment. It will include interviews with executives who have successfully implemented AI as well as CEOs from AI vendors and consultancies. AI is one of the most talked about technologies in business today. It has the ability to deliver step–change benefits to organisations and enables forward–thinking CEOs to rethink their business models or create completely new businesses. But most of the real value of AI is hidden behind marketing hyperbole, confusing terminology, inflated expectations and dire warnings of ‘robot overlords’. Any business executive that wants to know how to exploit AI in their business today is left confused and frustrated. As an advisor in Artificial Intelligence, Andrew Burgess regularly comes face–to–face with business executives who are struggling to cut through the hype that surrounds AI. The knowledge and experience he has gained in advising them, as well as working as a strategic advisor to AI vendors and consultancies, has provided him with the skills to help business executives understand what AI is and how they can exploit its many benefits. Through the distilled knowledge included in this book business leaders will be able to take full advantage of this most disruptive of technologies and create substantial competitive advantage for their companies.
Author: Chris T Risen
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
"A Beginner's Guide to Artificial Intelligence as a Business Tool" is a concise yet comprehensive resource designed to guide business professionals through the complex landscape of artificial intelligence (AI). In this book, readers will embark on a learning journey covering the basics and advanced aspects of AI, with a particular focus on its application and strategic importance in business. Key Sections: Understanding the Basics of AI: The book begins by demystifying AI, exploring its history, evolution, and various types. Readers will familiarize themselves with pivotal AI technologies such as Machine Learning, Deep Learning, NLP, Robotics, and Computer Vision. Identifying Business Needs for AI: This section elucidates how AI can be leveraged across different business applications-operations, marketing, and customer service-and provides a roadmap for conducting a meticulous AI needs assessment. Choosing the Right AI Technology: Readers will learn how to navigate through the array of available AI technologies, selecting solutions that align best with their specific business needs and objectives. Implementing AI Successfully: From planning and risk management to team training, this segment offers invaluable insights and strategies for a smooth and effective AI implementation process. Training and Maintaining AI Systems: The book discusses the importance of continuous training and maintenance of AI systems to ensure their longevity and effectiveness. Measuring AI Impact and Performance: Readers will be equipped with tools and knowledge to gauge AI's success and impact on their business, learning how to select and track Key Performance Indicators (KPIs) and analyze AI's return on investment. Exploring Future AI Trends: The final section provides a glimpse into the future of AI, exploring emerging trends, ethical considerations, and strategies for staying ahead in the rapidly evolving AI domain. Conclusion: Designed with beginners in mind, this guide not only serves as an educational tool but also as a reference for business professionals looking to incorporate AI into their operations. Through step-by-step guidance, real-life case studies, and resources for further learning, the book empowers readers to harness the power of AI to drive business innovation, efficiency, and success in the digital age.
Author: Mark Treveil
Publisher: "O'Reilly Media, Inc."
ISBN: 1098116429
Category : Computers
Languages : en
Pages : 171
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Book Description
More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you: Fulfill data science value by reducing friction throughout ML pipelines and workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
