Products related to Intelligence:
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Strategic Intelligence : Business Intelligence, Competitive Intelligence, and Knowledge Management
Strategic intelligence (SI) has mostly been used in military settings, but its worth goes well beyond that limited role.It has become invaluable for improving any organization's strategic decision making process.The author of Strategic Intelligence: Business Intelligence, Competitive Intelligence, and Knowledge Management recognizes synergies among component pieces of strategic intelligence, and demonstrates how executives can best use this internal and external information toward making better decisions.Divided into two major parts, the book first discusses the convergence of knowledge management (KM), business intelligence (BI), and competitive intelligence (CI) into what the author defines as strategic intelligence.The second part of the volume describes case studies written by recognized experts in the fields of KM, BI, and CI.The case studies include strategic scenarios at Motorola, AARP, Northrop Grumman, and other market leaders. About the EditorJay Liebowitz, D.Sc., is a full professor in the Graduate Division of Business and Management and program director for the Graduate Certificate in Competitive Intelligence at Johns Hopkins University. The first knowledge management officer at NASA Goddard Space Flight Center, he also served as the Robert W.Deutsch Distinguished Professor of Information Systems at the University of Maryland-Baltimore County, professor of Management Science at George Washington University, and Chaired Professor of Artificial Intelligence (AI) at the U.S.Army War College. A founder and chairperson of The World Congress on Expert Systems, he is a Fulbright Scholar, IEEE-USA Federal Communications Commission Executive Fellow, and Computer Educator of the Year (International Association for Computer Information Systems).
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Adaptive Business Intelligence
In the modern information era, managers must recognize the competitive opportunities represented by decision-support tools.Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments.These systems address the fundamental questions: What is likely to happen in the future? And what is the best decision right now? Adaptive Business Intelligence includes elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The authors have considerable academic research backgrounds in artificial intelligence and related fields, combined with years of practical consulting experience in businesses and industries worldwide.In this book they explain the science and application of numerous prediction and optimization techniques, as well as how these concepts can be used to develop adaptive systems.The techniques covered include linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling. This book is suitable for business and IT managers who make decisions in complex industrial and service environments, nonspecialists who want to understand the science behind better predictions and decisions, and students and researchers who need a quick introduction to this field.
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AI Meets BI : Artificial Intelligence and Business Intelligence
With the emergence of Artificial Intelligence (AI) in the business world, a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics.BI developers and practitioners now have tools and technologies to create systems and solutions to guide effective decision making.Decisions can be made on the basis of more reliable and accurate information and intelligence, which can lead to valuable, actionable insights for business.Previously, BI professionals were stymied by bad or incomplete data, poorly architected solutions, or even just outright incapable systems or resources.With the advent of AI, BI has new possibilities for effectiveness.This is a long-awaited phase for practitioners and developers and, moreover, for executives and leaders relying on knowledgeable and intelligent decision making for their organizations. Beginning with an outline of the traditional methods for implementing BI in the enterprise and how BI has evolved into using self-service analytics, data discovery, and most recently AI, AI Meets BI first lays out the three typical architectures of the first, second, and third generations of BI.It then takes an in-depth look at various types of analytics and highlights how each of these can be implemented using AI-enabled algorithms and deep learning models.The crux of the book is four industry use cases. They describe how an enterprise can access, assess, and perform analytics on data by way of discovering data, defining key metrics that enable the same, defining governance rules, and activating metadata for AI/ML recommendations.Explaining the implementation specifics of each of these four use cases by way of using various AI-enabled machine learning and deep learning algorithms, this book provides complete code for each of the implementations, along with the output of the code, supplemented by visuals that aid in BI-enabled decision making.Concluding with a brief discussion of the cognitive computing aspects of AI, the book looks at future trends, including augmented analytics, automated and autonomous BI, and security and governance of AI-powered BI.
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Bibliography On Soviet Intelligence And Security Services
This annotated bibliography is a valuable tool for research and teaching on Soviet intelligence and security services and its role in the country's domestic and international affairs.It categorizes nearly 500 books, articles, and government documents pertaining to Soviet intelligence.
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Why are intelligence agencies called intelligence services?
Intelligence agencies are called intelligence services because their primary function is to gather, analyze, and disseminate intelligence information. This information is used to support national security and decision-making processes. The term "intelligence" refers to the collection and analysis of information related to potential threats, security risks, and other relevant issues. Therefore, these agencies are referred to as intelligence services to emphasize their role in providing critical information to support the security and interests of a nation.
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How can one work for intelligence services?
Working for intelligence services typically requires a strong educational background, relevant work experience, and a clean record. Many intelligence agencies require a bachelor's or advanced degree in a related field such as international relations, political science, or criminal justice. Additionally, gaining experience in fields such as law enforcement, military service, or foreign language proficiency can be beneficial. Finally, candidates must be able to pass a thorough background check and meet specific physical and mental health requirements. It's also important to stay informed about job openings and application processes for the specific intelligence agency one is interested in.
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Does Germany also have such good foreign intelligence services?
Yes, Germany also has a strong foreign intelligence service known as the Federal Intelligence Service (BND). The BND is responsible for gathering and analyzing foreign intelligence to support the German government's decision-making and national security. It operates globally and has a strong reputation for its capabilities in intelligence gathering and analysis. The BND works closely with other intelligence agencies in Europe and around the world to exchange information and collaborate on various security issues.
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What does it mean when intelligence services are suspended?
When intelligence services are suspended, it means that the activities and operations of the intelligence agency are temporarily halted or put on hold. This could be due to various reasons such as restructuring, lack of funding, political reasons, or a need to address internal issues. During this period, the agency may not be able to gather intelligence, conduct surveillance, or carry out other intelligence-related tasks, which could impact national security and decision-making processes.
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U.S. National Security and the Intelligence Services
While there are books that cover national security, intelligence collection, intelligence analysis, and various intelligence services, U.S.National Security and the Intelligence Services is the first, all-inclusive book to examine intelligence agencies as a direct function of national security.It serves as a comprehensive text for students and a resource for those in the intelligence profession and national security scholars.The book offers an in-depth understanding of the important role that the intelligence services provide to the national security of a nation.It also includes information on the various types of intelligence, collection methods, tradecraft and intelligence analysis methods, as well intelligence-related resources.Coverage provides an overview of what national security is and its relationship to intelligence services of the United States, its key allies, and hostile nations.Key Features: Identifies the various national security threats and details the numerous U.S. and key allied intelligence services that work and collaborate to mitigate such threats Reviews the types of intelligence—outlining intelligence collection methods and intelligence tradecraft Explores how to determine the value of the intelligence collected, explaining the various methods of intelligence analysis and optimal methods to present conclusions The roles the various agencies in the intelligence services play are as vital as the intelligence collected, the means by which it’s collected, and the methodology in which it is disseminated and analyzed.U.S. National Security and the Intelligence Services provides a handy reference outlining the framework, and the processes, that comprise the US intelligence apparatus.
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Business Intelligence For Dummies
You're intelligent, right? So you've already figured out that Business Intelligence can be pretty valuable in making the right decisions about your business.But you’ve heard at least a dozen definitions of what it is, and heard of at least that many BI tools.Where do you start? Business Intelligence For Dummies makes BI understandable!It takes you step by step through the technologies and the alphabet soup, so you can choose the right technology and implement a successful BI environment.You'll see how the applications and technologies work together to access, analyze, and present data that you can use to make better decisions about your products, customers, competitors, and more. You’ll find out how to: Understand the principles and practical elements of BIDetermine what your business needsCompare different approaches to BIBuild a solid BI architecture and roadmapDesign, develop, and deploy your BI planRelate BI to data warehousing, ERP, CRM, and e-commerceAnalyze emerging trends and developing BI tools to see what else may be useful Whether you’re the business owner or the person charged with developing and implementing a BI strategy, checking out Business Intelligence For Dummies is a good business decision.
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Fundamentals of Business Intelligence
This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decision-making.To that end, the authors develop step-by-step models and analytical tools for obtaining high-quality data structured in such a way that complex analytical tools can be applied.The main emphasis is on process mining and data mining techniques and the combination of these methods for process-oriented data.After a general introduction to the business intelligence (BI) process and its constituent tasks in chapter 1, chapter 2 discusses different approaches to modeling in BI applications.Chapter 3 is an overview and provides details of data provisioning, including a section on big data.Chapter 4 tackles data description, visualization, and reporting.Chapter 5 introduces data mining techniques for cross-sectional data.Different techniques for the analysis of temporal data are then detailed in Chapter 6.Subsequently, chapter 7 explains techniques for the analysis of process data, followed by the introduction of analysis techniques for multiple BI perspectives in chapter 8.The book closes with a summary and discussion in chapter 9.Throughout the book, (mostly open source) tools are recommended, described and applied; a more detailed survey on tools can be found in the appendix, and a detailed code for the solutions together with instructions on how to install the software used can be found on the accompanying website.Also, all concepts presented are illustrated and selected examples and exercises are provided. The book is suitable for graduate students in computer science, and the dedicated website with examples and solutions makes the book ideal as a textbook for a first course in business intelligence in computer science or business information systems.Additionally, practitioners and industrial developers who are interested in the concepts behind business intelligence will benefit from the clear explanations and many examples.
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Artificial Intelligence Business Applications : Artificial Intelligence Marketing and Sales Applications
If you want to scale your business using Artificial Intelligence tools and applications, then read belowArtificial Intelligence is the tech of the future. But if you're not already working in the field or studying the depths of artificial intelligence, it can be difficult to find information in layman's terms.As a business owner, especially a small business owner, we are always looking at ways to improve the efficiency of our business; outsource, automate and scale. And Artificial Intelligence is the best tool to do use.Here's a few things you can learn from this book How current day businesses use Artificial Intelligence to move ahead,4 Ways AI can help elevate your online marketing systems,Use AI to make your customers feel like they are in heaven,3 Ways to Automate boring tasks with AI,Ensure more efficient business compliance methods with AI,How Artificial Intelligence will Change the Nature of Business in the Future,If you're ready to have a tool that breaks down this complex topic in simple language then this is your chance. Download your copy now so you can get started on what is promising to be a most amazing future.Scroll to the top and click Buy Now
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What does a Business Intelligence Data Architect do?
A Business Intelligence Data Architect is responsible for designing and implementing the data architecture for a company's business intelligence systems. They work closely with stakeholders to understand the organization's data needs and design data models that support reporting and analytics requirements. They also ensure data quality, integrity, and security, and may be involved in data governance and compliance efforts. Overall, a Business Intelligence Data Architect plays a crucial role in enabling data-driven decision-making within an organization.
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What concerns do employees in companies have about artificial intelligence?
Employees in companies have concerns about artificial intelligence taking over their jobs, leading to unemployment or job displacement. They also worry about the potential for AI to make biased or unfair decisions, as well as the invasion of privacy through the collection and use of personal data. Additionally, there are concerns about the lack of transparency and accountability in AI systems, as well as the potential for AI to be used for surveillance and monitoring of employees.
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How does emotional intelligence relate to intelligence?
Emotional intelligence is the ability to understand and manage one's own emotions, as well as understand and influence the emotions of others. It is often considered a separate form of intelligence from traditional cognitive intelligence, such as problem-solving and logical reasoning. However, emotional intelligence can complement and enhance cognitive intelligence by helping individuals navigate social interactions, manage stress, and make better decisions. In this way, emotional intelligence is a valuable aspect of overall intelligence that can contribute to success in both personal and professional settings.
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How can artificial intelligence be used in Islamic worship services?
Artificial intelligence can be used in Islamic worship services in various ways. For example, AI can be used to develop virtual imams that can lead prayers and deliver sermons, especially in areas where there is a shortage of religious leaders. AI can also be used to create personalized religious content and recommendations for individuals based on their specific needs and interests. Additionally, AI can be used to analyze and interpret religious texts and provide insights and interpretations to help individuals better understand and practice their faith. Overall, AI can enhance the accessibility and personalization of Islamic worship services for individuals.
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