Artificial Intelligence

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 21 st century commerce.

Step into the future with AI The term «Artificial Intelligence» has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it’s being used today. Inside, you’ll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. Learn about what AI has contributed to society Explore uses for AI in computer applications Discover the limits of what AI can do Find out about the history of AI The world of AI is fascinating—and this hands-on guide makes it more accessible than ever!

Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of which business problems and opportunities are right for AI and how to prioritize them to maximize the likelihood of success. Specific methodologies are introduced to help with finding critical training data within an organization and how to fill data gaps if they exist. With data in hand, a scoped prototype can be built to limit risk and provide tangible value to the organization as a whole to justify further investment. Finally, a production level AI system can be developed with best practices to ensure quality with not only the application code, but also the AI models. Finally, with this particular AI adoption journey at an end, the authors will show that there is additional value to be gained by iterating on this AI adoption lifecycle and improving other parts of the organization.

A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the «need-to-know» aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.

Make AI technology the backbone of your organization to compete in the Fintech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond. No other book on the market takes such a wide-ranging approach to using AI in asset management. With this guide, you’ll be able to build an asset management firm from the ground up—or revolutionize your existing firm—using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for financial firms. With better AI comes better results. If you aren’t integrating AI in the strategic DNA of your firm, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of an integrated, strategic asset management framework Learn how to build AI into your organization to remain competitive in the world of Fintech Go beyond siloed AI implementations to reap even greater benefits Understand and overcome the governance and leadership challenges inherent in AI strategy Until now, it has been prohibitively difficult to map the high-tech world of AI onto complex and ever-changing financial markets. Artificial Intelligence for Asset Management and Investment makes this difficulty a thing of the past, providing you with a professional and accessible framework for setting up and running artificial intelligence in your financial operations.

Essential resources for training and HR professionals Kenneth H. Silber and Lynn Kearny Organizational Intelligence A Guide to Understanding the business of your organization for HR, Training, and Performance Consulting Organizational Intelligence To succeed, those who practice as training, HPT, ID, OD, HR, or IT professionals must understand the «language of business,» and the key business issues and measures of the organizations we work for. Organizational Intelligence shows how to use the proven Business Logics Model to gather and synthesize the information needed to understand organizations, and how to align our work to key business issues, explain it in appropriate language, and measure it in a meaningful way. «Kearny and Silber have taken the complex interrelated aspects of a business and broken them into components and key questions that can help anyone understand the essence of that business.» —Julie O'Mara, past president, American Society for Training and Development «This book should be in your professional library. It provides models to understand how organizations work, and gives you tools to increase your business acumen and think like the CEO. It's your doorway to a seat at the table.» —Dr. Roger M. Addison, CPT; past director, International Society for Performance Improvement, and past president, International Federation of Training and Development Organisations Ltd. «Nobody can touch Ken Silber and Lynn Kearny for their clarity of thought and their ability to communicate. Organizational Intelligence provides the most useful, simple, and comprehensive approach to understanding your clients. Whether you are a newcomer or an old-timer, buy, borrow, or steal a copy. The job aids alone are worth the price.» —Thiagi (Dr. Sivasailam Thiagarajan), two-time ISPI president, Gilbert Award–winning performance improvement guru «Organizational Intelligence is the cornerstone text for the HPT field we've been wanting for so long. It provides the organizational context for the work we do in a way that is understandable and useful. Both our new students and expert professors love it.» —Jamie D. Barron, Ed.D., chair, Training & Performance Improvement, Capella University

Similar to unraveling a math word problem, Security Intelligence: A Practitioner's Guide to Solving Enterprise Security Challenges guides you through a deciphering process that translates each security goal into a set of security variables, substitutes each variable with a specific security technology domain, formulates the equation that is the deployment strategy, then verifies the solution against the original problem by analyzing security incidents and mining hidden breaches, ultimately refines the security formula iteratively in a perpetual cycle. You will learn about: Secure proxies – the necessary extension of the endpoints Application identification and control – visualize the threats Malnets – where is the source of infection and who are the pathogens Identify the security breach – who was the victim and what was the lure Security in Mobile computing – SNAFU With this book, you will be able to: Identify the relevant solutions to secure the infrastructure Construct policies that provide flexibility to the users so to ensure productivity Deploy effective defenses against the ever evolving web threats Implement solutions that are compliant to relevant rules and regulations Offer insight to developers who are building new security solutions and products