This book provides a brief synthesis of the known implementations, opportunities and challenges at the intersection of artificial intelligence (AI) and modern industry beyond the big-four companies that traditionally consume and produce such advanced technology: Facebook, Amazon, Microsoft and Google. With this information, the author also makes some reasonable claims about the role of AI in future industries. The book draws on a broad range of material, including reports from consulting firms, published surveys, academic papers and books, and expert knowledge available to the author due to numerous collaborations in academia and industry on AI. It is rigorous rather than speculative, drawing on known findings and expert summaries, where available. This provides industry leaders and other interested stakeholders with an accessible review of contemporary perspectives on AI’s forward-looking role in industry as well as a clarifying guide on the major issues that companies are likely to face as they commence on this exciting path. Examines the likely role of AI in industries of the future, both known and unknown Presents use-cases of AI currently being explored across Big Tech, multi-national corporations and start-ups Explores the regulation of AI and its potential impacts on the workforce
‘In the first NC meeting after AAP’s creation, Arvind had said: “This party is not the property of 300 founding members but of the lakhs and crores of people in this country.” This refreshing stance shifted over time, got corrupted by power . . . till, one day, Arvind told me: I do not want intellectuals in the party, just people who say “Bharat Mata ki Jai”.’ Authored by a former member of the Aam Aadmi Party’s (AAP) National Executive, AAP & Down is an in-depth account of the emergence and sudden unspooling of one of India’s most closely watched parties. The story of AAP is one of troughs and crests. After capturing the imagination of over a billion Indians, and winning a landslide victory in the 2015 Delhi elections, a seemingly indestructible party began to dangerously teeter. What just happened? How did a party—born of the idealistic India Against Corruption (IAC) movement—get ravaged by in-fighting and accusations of wrongdoing? What provoked the abrupt ouster of two party veterans, Yogendra Yadav and Prashant Bhushan? What accounted for the wave of ignoble defeats across not just Punjab and Goa but also AAP’s own home, Delhi? Here is a book that reveals all—from the clashes and intrigues that beset the IAC movement to the goings-on during the closed-door meetings of AAP. But beyond chronicling events, thus far undisclosed, AAP & Down analyzes the dispositions of the leaders who had once promised a better India—from a volatile Anna Hazare to an autocratic Arvind Kejriwal—to highlight how the party’s undoing was linked to the flaws of its leading men. Even while recounting the true story of a party, here is a book that presents the story of India—of how a country, plagued by scams and scandals, dared to unite under IAC and overthrow the corrupt. In this, there is a lesson for AAP—the book emphatically reminds the party that its best chance of revival lies in reinvesting faith in this nation’s citizens.
A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.
The vast amounts of ontologically unstructured information on the Web, including HTML, XML and JSON documents, natural language documents, tweets, blogs, markups, and even structured documents like CSV tables, all contain useful knowledge that can present a tremendous advantage to the Artificial Intelligence community if extracted robustly, efficiently and semi-automatically as knowledge graphs. Domain-specific Knowledge Graph Construction (KGC) is an active research area that has recently witnessed impressive advances due to machine learning techniques like deep neural networks and word embeddings. This book will synthesize Knowledge Graph Construction over Web Data in an engaging and accessible manner. The book will describe a timely topic for both early -and mid-career researchers. Every year, more papers continue to be published on knowledge graph construction, especially for difficult Web domains. This work would serve as a useful reference, as well as an accessible but rigorous overview of this body of work. The book will present interdisciplinary connections when possible to engage researchers looking for new ideas or synergies. This will allow the book to be marketed in multiple venues and conferences. The book will also appeal to practitioners in industry and data scientists since it will have chapters on both data collection, as well as a chapter on querying and off-the-shelf implementations. The author has, and continues to, present on this topic at large and important conferences. He plans to make the powerpoint he presents available as a supplement to the work. This will draw a natural audience for the book. Some of the reviewers are unsure about his position in the community but that seems to be more a function of his age rather than his relative expertise. I agree with some of the reviewers that the title is a little complicated. I would recommend “Domain Specific Knowledge Graphs”.
A rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.
The vast amounts of ontologically unstructured information on the Web, including HTML, XML and JSON documents, natural language documents, tweets, blogs, markups, and even structured documents like CSV tables, all contain useful knowledge that can present a tremendous advantage to the Artificial Intelligence community if extracted robustly, efficiently and semi-automatically as knowledge graphs. Domain-specific Knowledge Graph Construction (KGC) is an active research area that has recently witnessed impressive advances due to machine learning techniques like deep neural networks and word embeddings. This book will synthesize Knowledge Graph Construction over Web Data in an engaging and accessible manner. The book will describe a timely topic for both early -and mid-career researchers. Every year, more papers continue to be published on knowledge graph construction, especially for difficult Web domains. This work would serve as a useful reference, as well as an accessible but rigorous overview of this body of work. The book will present interdisciplinary connections when possible to engage researchers looking for new ideas or synergies. This will allow the book to be marketed in multiple venues and conferences. The book will also appeal to practitioners in industry and data scientists since it will have chapters on both data collection, as well as a chapter on querying and off-the-shelf implementations. The author has, and continues to, present on this topic at large and important conferences. He plans to make the powerpoint he presents available as a supplement to the work. This will draw a natural audience for the book. Some of the reviewers are unsure about his position in the community but that seems to be more a function of his age rather than his relative expertise. I agree with some of the reviewers that the title is a little complicated. I would recommend “Domain Specific Knowledge Graphs”.
This book provides a brief synthesis of the known implementations, opportunities and challenges at the intersection of artificial intelligence (AI) and modern industry beyond the big-four companies that traditionally consume and produce such advanced technology: Facebook, Amazon, Microsoft and Google. With this information, the author also makes some reasonable claims about the role of AI in future industries. The book draws on a broad range of material, including reports from consulting firms, published surveys, academic papers and books, and expert knowledge available to the author due to numerous collaborations in academia and industry on AI. It is rigorous rather than speculative, drawing on known findings and expert summaries, where available. This provides industry leaders and other interested stakeholders with an accessible review of contemporary perspectives on AI’s forward-looking role in industry as well as a clarifying guide on the major issues that companies are likely to face as they commence on this exciting path. Examines the likely role of AI in industries of the future, both known and unknown Presents use-cases of AI currently being explored across Big Tech, multi-national corporations and start-ups Explores the regulation of AI and its potential impacts on the workforce
‘In the first NC meeting after AAP’s creation, Arvind had said: “This party is not the property of 300 founding members but of the lakhs and crores of people in this country.” This refreshing stance shifted over time, got corrupted by power . . . till, one day, Arvind told me: I do not want intellectuals in the party, just people who say “Bharat Mata ki Jai”.’ Authored by a former member of the Aam Aadmi Party’s (AAP) National Executive, AAP & Down is an in-depth account of the emergence and sudden unspooling of one of India’s most closely watched parties. The story of AAP is one of troughs and crests. After capturing the imagination of over a billion Indians, and winning a landslide victory in the 2015 Delhi elections, a seemingly indestructible party began to dangerously teeter. What just happened? How did a party—born of the idealistic India Against Corruption (IAC) movement—get ravaged by in-fighting and accusations of wrongdoing? What provoked the abrupt ouster of two party veterans, Yogendra Yadav and Prashant Bhushan? What accounted for the wave of ignoble defeats across not just Punjab and Goa but also AAP’s own home, Delhi? Here is a book that reveals all—from the clashes and intrigues that beset the IAC movement to the goings-on during the closed-door meetings of AAP. But beyond chronicling events, thus far undisclosed, AAP & Down analyzes the dispositions of the leaders who had once promised a better India—from a volatile Anna Hazare to an autocratic Arvind Kejriwal—to highlight how the party’s undoing was linked to the flaws of its leading men. Even while recounting the true story of a party, here is a book that presents the story of India—of how a country, plagued by scams and scandals, dared to unite under IAC and overthrow the corrupt. In this, there is a lesson for AAP—the book emphatically reminds the party that its best chance of revival lies in reinvesting faith in this nation’s citizens.
Explore tools for integrating resources and applications with Azure Active Directory for authentication and authorization. This book starts with an introduction to Azure Active Directory (AAD) where you will learn the core concepts necessary to understand AAD and authentication in general. You will then move on to learn OpenID Connect and OAuth along with its flows, followed by a deep dive into the integration of web applications for user-based authentication. Next, you go through user authentication and how to enable the integration of various native applications with AAD. This is followed by an overview of authenticating applications along with a detailed discussion on collaboration with external users and other AD tenants. Moving forward, Developing Applications with Azure Active Directory covers using schemas of AD objects, such as users, to add custom attributes on top of ADD’s predefined attributes. You will see how multi-tenancy can be supported in Azure AD as well as how to design authorization with Azure AD. After reading this book, you will be able to integrate, design, and develop authentication and authorization techniques in Azure Active Directory. What You Will LearnIntegrate applications with Azure AD for authenticationExplore various Azure AD authentication scenariosMaster core Azure AD conceptsIntegrate external users and tenants Who is this book for: The book will be useful for architects and developers, planning to use Azure AD for authentication.
Cases in Corporate Finance includes 60 unique case studies that illustrate the application of finance theories, models, and frameworks to real-life business situations. The topics cover a wide range of sectors and different life cycle stages of firms. The book bridges a crucial gap in topical emerging market case coverage by presenting industry-relevant case studies in the Indian context and on themes pertinent to the current business environment. Through the case studies included in the book, the authors offer insights into the essential areas of corporate finance, including risk and return, working capital management, capital budgeting and structure, dividend decisions, business valuation, and long-term financing. Cases included in the book are decision-focused and provide opportunities to carefully analyse risk-return trade-offs and apply tools to evaluate critical financial decisions. The book will be helpful for students, researchers, and instructors of business management, commerce, and economics.
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