Ai Driven Value Management
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Ai Driven Value Management
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Author : Craig LeGrande
language : en
Publisher: John Wiley & Sons
Release Date : 2024-12-09
Ai Driven Value Management written by Craig LeGrande and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-09 with Business & Economics categories.
Unlock the power of generative AI to transform your enterprise B2B sales and marketing strategies In AI-Driven Value Management: How AI Can Help Bridge the Gap Across the Enterprise to Achieve Customer Success, authors Craig LeGrande and Venky Lakshminarayanan reveal how artificial intelligence can revolutionize B2B value management. This book lays out a first-ever strategic blueprint for cost-effectively scaling value management programs. Value management is the art and science of orchestrating all the business functions in your company to envision and create exceptional value for your customers – and in the process enhance your pipeline, revenue and renewals. It's designed for business leaders who are looking to harness AI to gain a competitive edge and boost pipeline, revenue and expansions, effectively solving the problem of expensive scaling in business-to-business sales and marketing. Dive into the core of AI-empowered Value Management (AI-VM) through a detailed exploration of a comprehensive AI-driven value management blueprint. This guide uses real-world success stories and cutting edge AI technology solutions to illustrate how businesses can combine people, processes, and technology to execute value management at scale, enhancing efficiency and effectiveness. In this book, you'll: Learn from the successes and strategies of leading companies like Salesforce, ServiceNow, and Amazon Web Services Discover the AI-VM Blueprint, an integrated framework that lays out strategic, operational, and technological guidelines for deploying AI-driven value management Equip your team with actionable insights and tools to innovate and implement AI in your sales, marketing and customer success strategies effectively AI-Driven Value Management is essential reading for B2B professionals eager to leverage AI for business growth. If you are a business leader, manager, or professional aiming to integrate AI into your value management practices, this book will provide you with the knowledge and tools you need.
Competing In The Age Of Ai
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Author : Marco Iansiti
language : en
Publisher: Harvard Business Press
Release Date : 2020-01-07
Competing In The Age Of Ai written by Marco Iansiti and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-07 with Business & Economics categories.
"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.
Artificial Intelligence And Innovation Management
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Author : Stoyan Tanev
language : en
Publisher: World Scientific
Release Date : 2022-03-09
Artificial Intelligence And Innovation Management written by Stoyan Tanev and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-09 with Business & Economics categories.
Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate. It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation). The book's content is driven by several important conclusions:It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM.The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions. They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM; the degree of their professional engagement with the field; their ability to contribute to the thematic and contextual diversity of the contributions; and their ability to provide actionable insights for both innovation scholars and practitioners.Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management (https://www.ispim-innovation.com/).
Value Management In Healthcare
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Author : Nathan William Tierney
language : en
Publisher: CRC Press
Release Date : 2025-02-13
Value Management In Healthcare written by Nathan William Tierney and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Business & Economics categories.
Our current healthcare system is broken. The Organisation for Economic Co-operation and Development (OECD) predicts healthcare costs could increase from 6% to 14% of GDP by 2060. The cause of this increase is due to (1) a global aging population, (2) growing affluence, (3) rise in chronic diseases, and (4) better-informed patients, all of which raises the demand for healthcare. In 2006, Michael Porter and Elizabeth Teisberg authored the book Redefining Health Care: Creating Value-Based Competition on Results. In it, they present their analysis of the root causes plaguing the healthcare industry and make the case for why providers, suppliers, consumers, and employers should move toward a patient-centric approach that optimizes value for patients. According to Porter, "value for patients should be the overarching principle for our broken system." Given the current state of global healthcare, there is urgency to achieve widespread adoption of this new approach. The updated second edition of this book discusses two major issues driving the importance of value-based care. The first is the emergence of artificial intelligence, which has the potential to significantly impact and enhance value-based healthcare in several ways such as delivering personalized medicine, predictive analytics for patient outcomes, and improving population health management. The second issue is why value-based care continues to struggle in scaling. While value-based healthcare has shown promise in improving patient outcomes and controlling costs, there have been challenges in implementation such as transitioning from the traditional fee-for-service model, data interoperability issues, and limited standardization of health outcomes. These challenges do not necessarily mean that value-based healthcare has failed. Instead, they highlight the complexities of the work involved and the need to follow a process as provided in this book. The intent of this book is to equip all healthcare delivery organizations with a guide for putting the value-based concept into practice. With updated material and case studies, this book defines the practice of value-based healthcare as value management. The book explores Mr. Porter’s value equation (Value = Costs/Outcomes), which is central to value management, and provides a step-by-step process for how to calculate the components of this equation. On the outcomes side, the book presents the value realization framework, which translates organizational mission and strategy into a comprehensive set of performance measures and contextualizes the measures for healthcare delivery.
Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value
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Author : Eric Anderson
language : en
Publisher: McGraw Hill Professional
Release Date : 2020-11-23
Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value written by Eric Anderson and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Business & Economics categories.
Lead your organization to become evidence-driven Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories. Inside, you’ll find the essential tools to help you: Develop a strong data science intuition quotient Lead and scale AI and analytics throughout your organization Move from “best-guess” decision making to evidence-based decisions Craft strategies and tactics to create real impact Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data.
Adoption And Implementation Of Ai In Customer Relationship Management
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Author : Surabhi Singh
language : en
Publisher: Business Science Reference
Release Date : 2021
Adoption And Implementation Of Ai In Customer Relationship Management written by Surabhi Singh and has been published by Business Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Artificial intelligence categories.
"The book covers major perspectives building on the available literature in the CRM domain while attempting to bring out a focused approach in connecting "Theory to Practice" improvising the customer relationships for the organizations with the use of AI"--
Artificial Intelligence Valuation
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Author : Roberto Moro-Visconti
language : en
Publisher: Springer Nature
Release Date : 2024-06-01
Artificial Intelligence Valuation written by Roberto Moro-Visconti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-01 with Business & Economics categories.
The book discusses the main valuation methodologies of artificial intelligence (AI). Company valuation goes hand in hand with estimating intangible assets like AI, which are linked to higher risk and lower collateral value. Their accounting is controversial, and the most widely used valuation approaches are based on market, income, or cost-related metrics.The volume discusses in detail the valuation approaches such as the discounted cash flows (remembering that “cash is king”) or the empirical market multipliers and comparables. The approaches are complemented by several models, including advanced business planning that incorporates machine learning, digital scalability networks, or validating blockchains. The book, with a tailor-made theoretical background backed by empirical cases, shows how to evaluate AI products, such as chatbots or virtual assistants, for AI established producers, startups, or traditional “brick-and-mortar” AI users. The comprehensive set of techniques and methodologies will interest researchers, students, and practitioners in corporate finance, intellectual property valuation, and financial technology.
Ai Driven Business Expense Management Systems Harnessing Big Data For Optimized Corporate Spending And Policy Compliance
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Author : Jai Kiran Reddy Burugulla
language : en
Publisher: Global Pen Press UK
Release Date :
Ai Driven Business Expense Management Systems Harnessing Big Data For Optimized Corporate Spending And Policy Compliance written by Jai Kiran Reddy Burugulla and has been published by Global Pen Press UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Ai Driven Business Model Innovation
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Author : Khokhar, Maryam
language : en
Publisher: IGI Global
Release Date : 2025-02-28
Ai Driven Business Model Innovation written by Khokhar, Maryam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Business & Economics categories.
The relationship between artificial intelligence (AI) and business model innovation has been widely studied in various academic contexts. These studies range from specific process development analyses to broad industry transformation analyses, with innovative products transforming markets over time. Many businesses are concerned with AI’s role in automating activities, product and service customization, and AI’s impact on economies. By embracing AI, organizations can transform their business models to be more agile, scalable, and competitive, positioning themselves for success in a digital economy. As AI advances, further research is necessary to revolutionize business strategies and drive success. AI-Driven Business Model Innovation explores the integration of AI in business and organizational practices. This technology is explored as a means of innovation in various business sectors, including human resources, customer service, and organizational management. This book covers topics such as business intelligence, digital technology, and artificial intelligence, and is a useful resource for business owners, policymakers, computer engineers, researchers, and academicians.
Risks And Challenges Of Ai Driven Finance Bias Ethics And Security
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Author : Kunjumuhammed, Siraj Kariyilaparambu
language : en
Publisher: IGI Global
Release Date : 2024-08-01
Risks And Challenges Of Ai Driven Finance Bias Ethics And Security written by Kunjumuhammed, Siraj Kariyilaparambu and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-01 with Business & Economics categories.
Integrating Artificial Intelligence (AI) presents immense opportunities and daunting challenges in the rapidly evolving finance landscape as AI-driven algorithms and models revolutionize decision-making and enhance efficiency, concerns about bias, ethics, and security loom. Financial institutions must navigate these complexities responsibly while leveraging AI's potential to innovate and thrive. Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security guides this dynamic environment. Written for professionals, researchers, policymakers, and students, this book comprehensively explores AI's impact on finance. It delves into the intricacies of bias in algorithms, ethical frameworks, cybersecurity, and regulatory compliance, offering actionable insights to address these critical issues.