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| digital asset management ai: Artificial Intelligence for Asset Management and Investment Al Naqvi, 2021-02-09 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. |
| digital asset management ai: The AI Book Ivana Bartoletti, Anne Leslie, Shân M. Millie, 2020-06-29 Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important |
| digital asset management ai: Metadata Matters John Horodyski, 2022-04-03 In what is certain to be a seminal work on metadata, John Horodyski masterfully affirms the value of metadata while providing practical examples of its role in our personal and professional lives. He does more than tell us that metadata matters—he vividly illustrates why it matters. —Patricia C. Franks, PhD, CA, CRM, IGP, CIGO, FAI, President, NAGARA, Professor Emerita, San José State University, USA If data is the language upon which our modern society will be built, then metadata will be its grammar, the construction of its meaning, the building for its content, and the ability to understand what data can be for us all. We are just starting to bring change into the management of the data that connects our experiences. Metadata Matters explains how metadata is the foundation of digital strategy. If digital assets are to be discovered, they want to be found. The path to good metadata design begins with the realization that digital assets need to be identified, organized, and made available for discovery. This book explains how metadata will help ensure that an organization is building the right system for the right users at the right time. Metadata matters and is the best chance for a return on investment on digital assets and is also a line of defense against lost opportunities. It matters to the digital experience of users. It helps organizations ensure that users can identify, discover, and experience their brands in the ways organizations intend. It is a necessary defense, which this book shows how to build. |
| digital asset management ai: Artificial Intelligence in Asset Management Söhnke M. Bartram, Jürgen Branke, Mehrshad Motahari, 2020-08-28 Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity. |
| digital asset management ai: Digital Asset Management David Austerberry, 2012-10-12 Content and media asset management systems are core back office applications of the modern day broadcaster, yet there is little information available on the control and management of these systems and how content can be delivered over a variety of different channels: television, iTV, internet, webcasting, mobile phones and wireless PDAs. This book explains the potential for applying asset management systems to content creation models for distribution over a variety of outlets and the benefits gained from increased efficiency and lowering of costs. Taking an unbiased view and focusing on core principles rather than specific systems, David Austerberry presents the business case for digital asset management systems, demystifies some assumptions regarding the technology and provides a thorough introduction to the system components required, such as indexing, searching, middleware, database and rightsmanagement and web portals. |
| digital asset management ai: Dam Survival Guide David Diamond, 2012-11-04 What Digital Asset Management Industry Pros say about DAM Survival Guide: If you are investing in DAM books to learn more about the subject, I can recommend this one. - Naresh Sarwan, Senior Editor, DigitalAssetManagementNews.org After you've read DAM Survival Guide, when you negotiate with a DAM vendor or try to evaluate the value of a system for your business, you won't have many blanks left for a vendor to fill in with marketing babble. It therefore is a book I warmly recommend. - Erik Vlietinck, Principle, IT Enquirer From newbies to experienced digital asset managers, DAM Survival Guide provides enough information that you can access what you need when you need it. - Marisa Peacock, Journalist, CMS Wire Digital Asset Management Vendors, Integrators, Analyst and Consultants be warned the DAM Survival Guide is packed full of insights, strategies and common sense guides for making DAM work for the end user. David Diamond, a seasoned DAM professional, shares his knowledge using wit, analogy, metaphor that cleaves the real meat on the bones of complexity that is Digital Asset Management. David nails it on every level: technology, human and insights. I would not hesitate in recommending DAM Survival Guide to anyone on or starting their DAM Journey. - Mark Davey, Founder, DAM Foundation _______________ ABOUT THE BOOK DAM Survival Guide is a digital asset management book that explains everything you need to know to design, plan, deploy, promote and maintain a successful DAM initiative at your organization. Written by a recognized DAM industry export in a friendly, easy-to-follow style, DAM Survival Guide is a must-have resource for those new to DAM, and it's great for those looking to increase their DAM knowledge too. DAM Survival Guide is everything you need to know about DAM in one book. Starting with an overview of what digital asset management is and isn't (including a section on why you might not need DAM at all), the book goes on to offer a detailed discussion of everything that's important for you to know before you get too far with your DAM planning: Learn the benefits of wrapping DAM into a corporate initiate you can better manage Know how to find and recruit others at your organization who can become great allies See how you can benefit from reliable professional help (cheap or even free!), so you can avoiding expensive time-wasters Fully understand the needs of your organization, so that you can exceed expectations Start thinking about DAM software at the right time, so you can avoid costly purchase mistakes Discover tricks to determine which DAM vendors are most favored by customers, most progressive, and most likely to stay in business Explore elements of human psychology that can help you overcome change-resistance and increase buy-in Including approximately 56,000 words, this book, first published in June, 2012, is packed with useful information the author, David Diamond, has acquired during his 12+ years as a professional in the Digital Asset Management industry. Note: The Digital Asset Management Survival Guide mentions no DAM software solutions or vendors by name. The book's contents are unbiased and applicable no matter which DAM solution you determine to be right for you. |
| digital asset management ai: Intelligent Data Driven Techniques for Security of Digital Assets Arun Kumar Rana, Sumit Kumar Rana, Ritu Dewan, Vishnu Sharma, 2025-03-06 The book covers the role of emerging technologies such as blockchain technology, machine learning, IoT, cryptography etc. in digital asset management. It further discusses the digital asset management applications in different domains like healthcare, travel industry, image processing and our daily life activities to maintain privacy and confidentiality. This book: Discusses techniques for securing and protecting digital assets in collaborative environments, where multiple organizations need access to the same resources. Explores how artificial intelligence can be used to automate the management of digital assets, and how it can be used to improve security and privacy. Explains the role of emerging technology like blockchain technology for transforming the conventional business models. Highlights the importance of machine learning technique in maintain the privacy and security of data. Covers the encryption and decryption techniques, their advantages and role in improving the privacy of data. The text is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, information technology, and business management. |
| digital asset management ai: Digital Asset Management Unknown Author, 2012-10-12 Content and media asset management systems are core back office applications of the modern day broadcaster, yet there is little information available on the control and management of these systems and how content can be delivered over a variety of different channels: television, iTV, internet, webcasting, mobile phones and wireless PDAs. This book explains the potential for applying asset management systems to content creation models for distribution over a variety of outlets and the benefits gained from increased efficiency and lowering of costs. Taking an unbiased view and focusing on core principles rather than specific systems, David Austerberry presents the business case for digital asset management systems, demystifies some assumptions regarding the technology and provides a thorough introduction to the system components required, such as indexing, searching, middleware, database and rightsmanagement and web portals. |
| digital asset management ai: Internet of Things and Big Data Analytics-Based Manufacturing Arun Kumar Rana, Sudeshna Chakraborty, Pallavi Goel, Sumit Kumar Rana, Ahmed A. Elngar, 2024-10-17 By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, Internet of Things (IoT) adoption in manufacturing creates huge economic prospects through reshaping industries. Modern businesses can more readily implement new data-driven strategies and deal with the pressure of international competition thanks to Industrial IoT. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data. Internet of Things and Big Data Analytics-Based Manufacturing shows how Industrial Big Data can be produced as a result of IoT usage in manufacturing, considering sensing systems and mobile devices. Different IoT applications that have been developed are demonstrated and it is shown how genuine industrial data can be produced, leading to Industrial Big Data. This book is organized into four sections discussing IoT and technology, the future of Big Data, algorithms, and case studies demonstrating the use of IoT and Big Data in a variety of industries, including automation, industrial manufacturing, and healthcare. This reference title brings all related technologies into a single source so that researchers, undergraduate and postgraduate students, academicians, and those in the industry can easily understand the topic and further their knowledge. |
| digital asset management ai: Digital Asset Management Elizabeth Keathley, 2014-03-31 Digital Asset Management: Content Architectures, Project Management, and Creating Order out of Media Chaos is for those who are planning a digital asset management system or interested in becoming digital asset managers. This book explains both the purpose of digital asset management systems and why an organization might need one. The text then walks readers step-by-step through the concerns involved in selecting, staffing, and maintaining a DAM. This book is dedicated to providing you with a solid base in the common concerns, both legal and technical, in launching a complex DAM capable of providing visual search results and workflow options. Containing sample job models, case studies, return on investment models, and quotes from many top digital asset managers, this book provides a detailed resource for the vocabulary and procedures associated with digital asset management. It can even serve as a field guide for system and implementation requirements you may need to consider. This book is not dedicated to the purchase or launch of a DAM; instead it is filled with the information you need in order to examine digital asset management and the challenges presented by the management of visual assets, user rights, and branded materials. It will guide you through justifying the cost for deploying a DAM and how to plan for growth of the system in the future. This book provides the most useful information to those who find themselves in the bewildering position of formulating access control lists, auditing metadata, and consolidating information silos into a very new sort of workplace management tool – the DAM. The author, Elizabeth Ferguson Keathley, is a board member of the DAM Foundation and has chaired both the Human Resources and Education committees. Currently Elizabeth is working with the University of British Columbia and the DAM Foundation to establish the first official certificate program for Digital Asset Managers. She has written, taught, and been actively a part of conferences related to the arrangement, description, preservation and access of information for over ten years. Her ongoing exploration of digital asset management and its relationship to user needs can be followed at her homepage for Atlanta Metadata Authority : atlantametadata.com. |
| digital asset management ai: AI, Data and Private Law Gary Chan Kok Yew, Man Yip, 2021-09-23 This book examines the interconnections between artificial intelligence, data governance and private law rules with a comparative focus on selected jurisdictions in the Asia-Pacific region. The chapters discuss the myriad challenges of translating and adapting theory, doctrines and concepts to practice in the Asia-Pacific region given their differing circumstances, challenges and national interests. The contributors are legal experts from the UK, Israel, Korea, and Singapore with extensive academic and practical experience. The essays in this collection cover a wide range of topics, including data protection and governance, data trusts, information fiduciaries, medical AI, the regulation of autonomous vehicles, the use of blockchain technology in land administration, the regulation of digital assets and contract formation issues arising from AI applications. The book will be of interest to members of the judiciary, policy makers and academics who specialise in AI, data governance and/or private law or who work at the intersection of these three areas, as well as legal technologists and practising lawyers in the Asia-Pacific, the UK and the US. |
| digital asset management ai: AI Factory Ramin Karim, Diego Galar, Uday Kumar, 2023-05-24 Presents compendium of methodologies and technologies in industrial AI and digitalization Illustrates sensor to actuation approach showing complete cycle, that defines and differences AI and digitalization concept Covers a broad range of academic and industrial issues within the field of asset management Discusses impact of Industry 4.0 in other sectors Includes a dedicated chapter on real-time case studies |
| digital asset management ai: The DAM Book Peter Krogh, 2009-04-27 One of the main concerns for digital photographers today is asset management: how to file, find, protect, and re-use their photos. The best solutions can be found in The DAM Book, our bestselling guide to managing digital images efficiently and effectively. Anyone who shoots, scans, or stores digital photographs is practicing digital asset management (DAM), but few people do it in a way that makes sense. In this second edition, photographer Peter Krogh -- the leading expert on DAM -- provides new tools and techniques to help professionals, amateurs, and students: Understand the image file lifecycle: from shooting to editing, output, and permanent storage Learn new ways to use metadata and key words to track photo files Create a digital archive and name files clearly Determine a strategy for backing up and validating image data Learn a catalog workflow strategy, using Adobe Bridge, Camera Raw, Adobe Lightroom, Microsoft Expression Media, and Photoshop CS4 together Migrate images from one file format to another, from one storage medium to another, and from film to digital Learn how to copyright images To identify and protect your images in the marketplace, having a solid asset management system is essential. The DAM Book offers the best approach. |
| digital asset management ai: Artificial Intelligence and Blockchain in Digital Forensics P. Karthikeyan, Hari Mohan Pande, Velliangiri Sarveshwaran, 2023-02-06 Digital forensics is the science of detecting evidence from digital media like a computer, smartphone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. AI and blockchain can be applied to solve online predatory chat cases and photo forensics cases, provide network service evidence, custody of digital files in forensic medicine, and identify roots of data scavenging. The increased use of PCs and extensive use of internet access, have meant easy availability of hacking tools. Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital evidence extremely important. The traditional tools for solving cybercrimes and preparing court cases are making investigations difficult. We can use AI and blockchain design frameworks to make the digital forensic process efficient and straightforward. AI features help determine the contents of a picture, detect spam email messages and recognize swatches of hard drives that could contain suspicious files. Blockchain-based lawful evidence management schemes can supervise the entire evidence flow of all of the court data. This book provides a wide-ranging overview of how AI and blockchain can be used to solve problems in digital forensics using advanced tools and applications available on the market. |
| digital asset management ai: Machine Learning for Asset Management Emmanuel Jurczenko, 2020-10-06 This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equity, multi-asset and factor investing. Each chapter deals with new methods for return and risk forecasting, stock selection, portfolio construction, performance attribution and transaction costs modeling. This volume will be of great help to portfolio managers, asset owners and consultants, as well as academics and students who want to improve their knowledge of machine learning in asset management. |
| digital asset management ai: Advances in Asset Management and Condition Monitoring Andrew Ball, Len Gelman, B. K. N. Rao, 2020-08-27 This book gathers select contributions from the 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2019), held at the University of Huddersfield, UK in September 2019, and jointly organized by the University of Huddersfield and COMADEM International. The aim of the Congress was to promote awareness of the rapidly emerging interdisciplinary areas of condition monitoring and diagnostic engineering management. The contents discuss the latest tools and techniques in the multidisciplinary field of performance monitoring, root cause failure modes analysis, failure diagnosis, prognosis, and proactive management of industrial systems. There is a special focus on digitally enabled asset management and covers several topics such as condition monitoring, maintenance, structural health monitoring, non-destructive testing and other allied areas. Bringing together expert contributions from academia and industry, this book will be a valuable resource for those interested in latest condition monitoring and asset management techniques. |
| digital asset management ai: Competing in the Age of AI Marco Iansiti, Karim R. Lakhani, 2020-01-07 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. |
| digital asset management ai: Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing Amit Kumar Tyagi, Shrikant Tiwari, Senthil Kumar Arumugam, Avinash Kumar Sharma, 2024-09-11 An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals. |
| digital asset management ai: Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance El Bachir Boukherouaa, Mr. Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S Iskender, Mr. Alin T Mirestean, Rangachary Ravikumar, 2021-10-22 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. |
| digital asset management ai: The AI Book Ivana Bartoletti, Anne Leslie, Shân M. Millie, 2020-06-04 Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important |
| digital asset management ai: The WEALTHTECH Book Susanne Chishti, Thomas Puschmann, 2018-07-23 Get a handle on disruption, innovation and opportunity in investment technology The digital evolution is enabling the creation of sophisticated software solutions that make money management more accessible, affordable and eponymous. Full automation is attractive to investors at an early stage of wealth accumulation, but hybrid models are of interest to investors who control larger amounts of wealth, particularly those who have enough wealth to be able to efficiently diversify their holdings. Investors can now outperform their benchmarks more easily using the latest tech tools. The WEALTHTECH Book is the only comprehensive guide of its kind to the disruption, innovation and opportunity in technology in the investment management sector. It is an invaluable source of information for entrepreneurs, innovators, investors, insurers, analysts and consultants working in or interested in investing in this space. • Explains how the wealth management sector is being affected by competition from low-cost robo-advisors • Explores technology and start-up company disruption and how to delight customers while managing their assets • Explains how to achieve better returns using the latest fintech innovation • Includes inspirational success stories and new business models • Details overall market dynamics The WealthTech Book is essential reading for investment and fund managers, asset allocators, family offices, hedge, venture capital and private equity funds and entrepreneurs and start-ups. |
| digital asset management ai: Digital Asset Management David Austerberry, 2012-07-26 The second edition focuses on the media and entertainment sector (M&E), with more information relevant to encompass broadcasters migration to file-based production. New technology and new products are also included and there is more detail on systems integration and product examples, plus extra case studies. New content includes: - Storage management where several products have been designed for the special needs of the media business. - XML and web services. - New case studies. |
| digital asset management ai: Artificial Intelligence. Max Bramer, 2009-08-04 Featuring the viewpoint of expert members of the IFIP Technical Committee 12, its Working Groups and their colleagues, this book provides an international perspective on recent and future directions in this significant field. |
| digital asset management ai: T-Bytes IoT & AR Industry V Gupta, 2019-12-28 This document brings together a set of latest data points and publicly available information relevant for Digital Customer Expierence. We are very excited to share this content and believe that readers will benefit immensely from this periodic publication immensely. |
| digital asset management ai: Engineering Applications of Artificial Intelligence Aziza Chakir, |
| digital asset management ai: Beyond Fintech: Technology Applications For The Islamic Economy Hazik Mohamed, 2020-11-25 Beyond Fintech: Technology Applications for the Islamic Economy is a follow-up to the first-ever Islamic Fintech book by the author (published in 2018) that provided linkages between Islamic Finance and disruptive technologies like the blockchain. In the wake of fintech as a new trend in financial markets, the ground-breaking book stressed the relevance of Islamic finance and its implications, when enabled by fintech, towards the development of the Islamic digital economy. While the earlier work discussed the crucial innovation, structural, and institutional development for financial technologies in Islamic Finance, this new research explores the multiple applications possible in the various sectors of the economy, within and beyond finance, that can be significantly transformed. These revolutionary applications involve the integration of AI, blockchain, data analytics, and Internet-of-Things (IoT) devices for a holistic solution to tackle the bottlenecks and other issues in existing processes of traditional systems. The principles of accountability, duty, justice, and transparency are the foundation of shaping the framework in achieving good governance in all institutions — public or private, Islamic or otherwise. Technologies like AI, blockchain, and IoT devices can operationalize the transparency and accountability that is required to eradicate poverty, distribute wealth, enhance micro-, small- and large-scale initiatives for social and economic development, and thus share prosperity for a moral system that enables a more secure and sustainable economy. |
| digital asset management ai: Future And Fintech, The: Abcdi And Beyond Jun Xu, 2022-05-05 The Future and FinTech examines the fundamental financial technologies and its growing impact on the Banking, Financial Services and Insurance (BFSI) sectors. With global investment amounting to more than $100 billion in 2020, the proliferation of FinTech has underpinned the direction payments, loans, wealth management, insurance, and cryptocurrencies are heading.This book presents FinTech from an industrial perspective in the context of architecture and its basic building blocks, e.g., Artificial Intelligence (AI), Blockchain, Cloud, Big Data, Internet of Things (IoT), and its connections to real-life applications at work. It provides a detailed guidance on how FinTech digitalizes business operations, improves productivity and efficiency, and optimizes resource management with the help of some new concepts, such as AIOps, MLOps and DevSecOps. Readers will also discover how FinTech Innovations connect BFSI to the rest of the world with growing interests in Open Banking, Banking-as-a-Service (BaaS) and FinTech-as-a-Service (FaaS).To help readers understand how FinTech has unlocked numerous opportunities for tapping into the massive substantial group of customers, this book illustrates the massive changes already underway and provides insights into changes yet to come through practical examples and applications with illustrative figures and summary tables, making this book a handy quick reference for all things of FinTech.Related Link(s) |
| digital asset management ai: The Cryptocurrency and Digital Asset Fraud Casebook, Volume II Jason Scharfman, |
| digital asset management ai: The Emerald Handbook of Fintech H. Kent Baker, Greg Filbeck, Keith Black, 2024-10-04 The Emerald Handbook of Fintech offers a detailed, user-friendly examination of the technologies and products reshaping the financial technology industry from leading global scholars and practitioners. |
| digital asset management ai: Digital Asset Valuation and Cyber Risk Measurement Keyun Ruan, 2019-05-29 Digital Asset Valuation and Cyber Risk Measurement: Principles of Cybernomics is a book about the future of risk and the future of value. It examines the indispensable role of economic modeling in the future of digitization, thus providing industry professionals with the tools they need to optimize the management of financial risks associated with this megatrend. The book addresses three problem areas: the valuation of digital assets, measurement of risk exposures of digital valuables, and economic modeling for the management of such risks. Employing a pair of novel cyber risk measurement units, bitmort and hekla, the book covers areas of value, risk, control, and return, each of which are viewed from the perspective of entity (e.g., individual, organization, business), portfolio (e.g., industry sector, nation-state), and global ramifications. Establishing adequate, holistic, and statistically robust data points on the entity, portfolio, and global levels for the development of a cybernomics databank is essential for the resilience of our shared digital future. This book also argues existing economic value theories no longer apply to the digital era due to the unique characteristics of digital assets. It introduces six laws of digital theory of value, with the aim to adapt economic value theories to the digital and machine era. |
| digital asset management ai: DEVELOPING AND SMART CONTRACTS OF BLOCKCHAIN Dr. Robin Rohit Vincent, Ms. Vanita Dandhwani, Patrik Viktor, Dr. Sumegh Shrikant Tharewal, 2023-03-16 Blockchain, despite having the word block in its name, is a term that has come a long way in recent history than any other technical term. It takes place in almost all existing IT infrastructures and indicates that existing structures pose a potential risk to their existence. Many people believe that blockchain is the technology of the future. We try to make things easy for anyone who wants to know more about technological developments to understand. The purpose of this book, as we explained in the preface, is to give beginners a basic understanding of blockchain technology. The book is divided into two main sections: the first explains the fundamentals of blockchain technology and the associated jargon, and the second is dedicated to explaining the many tools and technologies that have emerged with blockchain alone. The first chapter is divided into six main themes. The terms “blockchain”, “cryptocurrency”, “bitcoin”, “Ethereum” and “Hyperledger” and “token” encompass all the basic components needed to get started with blockchain technology. In the first section focused on blockchain, we looked at what blockchain is, how it works, historical developments, technology applications, application areas where blockchain can be used, and the future blockchain resilience. The second issue is cryptocurrency, which is an important topic that needs to be studied before Bitcoin gets into the wellknown blockchain system. This article provides an introduction to cryptocurrencies and a summary of the basics of how they work. The third and final issue is about Bitcoin, which is now the most used blockchain platform. In this article, we talk about various topics such as bitcoin and its history, how bitcoin works, bitcoin mining, bitcoin's value and other related topics. In the next Ethereum section, you will find information about another well-known blockchain platform, Ethereum. This section will introduce the reader to the second most popular blockchain platform at the moment. |
| digital asset management ai: Fourth Revolution and the Bottom Four Billion Nir Kshetri, 2023-04-18 Products and services based on advanced technologies such as artificial intelligence and blockchain are normally considered to be for rich consumers in advanced countries. Fourth Revolution and the Bottom Four Billion demonstrates how marginalized and vulnerable groups with limited resources can also benefit from these technologies. Nir Kshetri suggests that the falling costs and the increased ease of developing and deploying applications based on these technologies are making them more accessible. He illustrates how key emerging technologies are transforming major industries and application areas such as healthcare and pandemic preparedness, agriculture, finance, banking, and insurance. The book also looks at how these transformations are affecting the lives of low-income people in low- and middle-income countries and highlights the areas needing regulatory attention to adequately protect marginalized and vulnerable groups from the abuse and misuse of these technologies. Kshetri discusses how various barriers such as the lack of data, low resource languages, underdeveloped technology infrastructures, lack of computing power and shortage of skill and talent have hindered the adoption of these technologies among marginalized and vulnerable groups. Fourth Revolution and the Bottom Four Billion suggests that it is the responsibility of diverse stakeholders—governments, NGOs, international development organizations, academic institutions, the private sector, and others—to ensure that marginal groups also benefit from these transformative innovations. |
| digital asset management ai: Azure Arc Systems Management Ramona Maxwell, |
| digital asset management ai: Understanding the Role of Artificial Intelligence and Its Future Social Impact Sheikh, Salim, 2020-07-17 The influence of AI is beginning to filter into every aspect of life, spanning across education, healthcare, business, and more. However, as its prevalence grows, challenges must be addressed including AI replication and even exacerbation of human bias and discrimination and the development of policies and laws that appropriately regulate AI. Stakeholders from all sectors of society need to collaborate on co-designing innovative, agile frameworks for governing AI that allow for its continued adoption while minimizing risk and reducing disruption. Understanding the Role of Artificial Intelligence and Its Future Social Impact is a pivotal reference source that provides vital research on the application of AI within contemporary society and comprehends the future effects of this technology within modern civilization. While highlighting topics such as cognitive computing, ethical issues, and robotics, this publication explores the possible consequences of AI adoption as well as its disruption within industries and emerging markets. This book is ideally designed for researchers, developers, strategists, managers, practitioners, executives, analysts, scientists, policymakers, academicians, and students seeking current research on the future of AI and its influence on the global culture and society. |
| digital asset management ai: FinTech and Artificial Intelligence for Sustainable Development David Mhlanga, 2023-07-24 This book investigates how smart technologies can play a crucial role in the achievement of the UN Sustainable Development Goals. Focusing on FinTech as well as artificial intelligence, the author demonstrates how one of the most effective strategies for accelerating progress toward global development goals is to make use of emerging technologies to broaden and deepen the scope of action. The first part of the book offers a historical perspective on sustainable development, financial technology and the emergence of the Fourth Industrial Revolution, while the second part looks in-depth at new technologies that can contribute to the realization of the SDGs. The power of AI to reduce poverty and increase food security, the implications of digital innovations for education, the impact of AI on clean transport, the role of FinTech in mitigating climate change, and ways in which AI can aid financial inclusion are all discussed. |
| digital asset management ai: The Today and Future of WSN, AI, and IoT Chandrakant Naikodi, Dr. Suresh L, 2020-06-10 Doors are never locked for smart software and smart devices that are trained by smart people KEY FEATURESÊÊ - A book for everyone interested to know more about WSN, AI, and IoT - Discover various Open source tools & techniques for research and development in these felidsÊÊ - An easy-to-understand guide that will help you get familiar with the upcoming developments in WSN, AI, and IoT DESCRIPTIONÊÊ Almost every industry is looking for solutions for the best performance in the work that they produce. Researchers and developers are developing promising solutions that address the industrial problems to increase the effectiveness and efficiency of either the product or the service. This paradigm has changed the way many solutions and services are designed. Wireless Sensor Networks (WSN) are the backbone implementation for the Internet of Things (IoT) to be realized. For the IoT to produce efficient results, Artificial Intelligence (AI) becomes the key assistance; however, it needs careful modeling.Ê The content for the book is planned and prepared in such a way that you will be able to understand the concept and can interpret it for their use. The concepts, technologies, processes that are discussed in the book are contemporary and futuristic. Every chapter is well planned to be a subsequent chapter for the previous. In the Summary section of each chapter, there are a few review questions and a case for research.Ê WHAT WILL YOU LEARN - Learn about the most popular AI & IoT research topics - Discover a few WSN, IoT and AI Simulators - Get to know more about the fusion of Blockchain and IoT technologies - Know more about the AI and IoT predictions in the global scenarioÊ - Become aware of the various multi-disciplinary research based on WSN, AI, and IoT WHO THIS BOOK IS FORÊÊ By nature, every human is anxious to learn and would be benefited when they find the right direction. This book is truly intended for all students, teachers, product designers, opensource developers. However, it does not limit them alone. Those who have stepped into research, afresh, will find this book a more exciting one. TABLE OF CONTENTS 1. Introduction 2. WSN, AI, and IoT: Future Shock 3. Active Research Areas of WSN, AI, and IoT 4. Simulators of WSN, AI, and IoT 5. Blockchain for WSN, AI, and IoT 6. What is Next? 7. State of AI and IoT by 2050 |
| digital asset management ai: Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights Senthilkumar, K.R., Jagajeevan, R., 2024-05-17 As libraries transition into the digital age, they encounter a pressing challenge: outdated information systems hinder their ability to meet the diverse needs of patrons. Traditional library management systems struggle to cope with the demands of modern users, resulting in inefficient resource allocation, limited accessibility, and disjointed user experiences. This disconnect between antiquated systems and evolving user expectations poses a significant barrier to libraries striving to remain relevant in an increasingly digital world. Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights presents a comprehensive solution to this pressing problem. By integrating modern digital tools and technologies, libraries can revolutionize their information systems, enhancing accessibility, efficiency, and user satisfaction. This book offers practical insights and strategies for modernizing library services and operations, from digitizing physical resources to implementing advanced search algorithms and data analytics. Librarians, administrators, and technology providers will find invaluable guidance on navigating the complexities of digital transformation and maximizing the impact of their efforts. |
| digital asset management ai: The 10 Most Innovative AI Companies to Watch in 2022 Tycoon Success, 2022-04-13 The 10 most innovative AI companies to watch in 2022, with an introduction to each company's innovative technology & what it looks like in the real world. |
| digital asset management ai: Advances in Risk-Informed Technologies Prabhakar V. Varde, Manoj Kumar, Mayank Agarwal, 2024-01-07 This book presents the latest research in the areas of development and application of risk-informed and risk-based technologies. The book discusses how advances in computational technologies, availability of accumulated experience and data on design, operations, maintenance and regulations, new insights in human factor modelling and development of new technologies, such as physics-of-failure modelling, prognostics and health management, have paved the way for implementation of risk and reliability tools and methods. The book will be useful for researchers, academicians, and engineers, particularly the field engineers, designers and regulators working on complex engineering systems. |
| digital asset management ai: Illustrating Digital Innovations Towards Intelligent Fashion Pethuru Raj, |
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Ocash is a digital cash application specialist, the latest recruit for the finance and accounting function. It’s often helpful to consider and position your digital workers in the roles that they …
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Soaps — Digital Spy
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