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Author: Fluid Ai Artificial Intelligence Publisher: ISBN: 9781637545188 Category : Languages : en Pages : 0
Book Description
Most AI implementations fail, 70% of them!Yet when AI succeeds it has the ability of fundamentally shifting the way things are done to yield 10X the results in half the effort. Imagine if you led those results in your company!In such a world, those individuals that can successfully bridge the gap between what people expect from AI and what end up achieving by implementing AI, will be the leaders in this new era.This book covers those exact secrets! And guess what, its written by an AI that was created at our labs at Fluid AI!That tells us 2 things.Firstly, AI technology is progressing faster than we think and its coming for all of us. Those that learn to ride the tiger that is AI, will win, those that ignore it will get eaten up alive!Secondly, if sophisticated AI algorithms can take over the task of creating valuable information on how to use it successfully, think of what wonders it can do in your business!So get ready to become the next game changer in your organization.
Author: Fluid Ai Artificial Intelligence Publisher: ISBN: 9781637545188 Category : Languages : en Pages : 0
Book Description
Most AI implementations fail, 70% of them!Yet when AI succeeds it has the ability of fundamentally shifting the way things are done to yield 10X the results in half the effort. Imagine if you led those results in your company!In such a world, those individuals that can successfully bridge the gap between what people expect from AI and what end up achieving by implementing AI, will be the leaders in this new era.This book covers those exact secrets! And guess what, its written by an AI that was created at our labs at Fluid AI!That tells us 2 things.Firstly, AI technology is progressing faster than we think and its coming for all of us. Those that learn to ride the tiger that is AI, will win, those that ignore it will get eaten up alive!Secondly, if sophisticated AI algorithms can take over the task of creating valuable information on how to use it successfully, think of what wonders it can do in your business!So get ready to become the next game changer in your organization.
Author: Ogata, Takashi Publisher: IGI Global ISBN: 1799848655 Category : Science Languages : en Pages : 409
Book Description
The use of cognitive science in creating stories, languages, visuals, and characters is known as narrative generation, and it has become a trending area of study. Applying artificial intelligence (AI) techniques to story development has caught the attention of professionals and researchers; however, few studies have inherited techniques used in previous literary methods and related research in social sciences. Implementing previous narratology theories to current narrative generation systems is a research area that remains unexplored. Bridging the Gap Between AI, Cognitive Science, and Narratology With Narrative Generation is a collection of innovative research on the analysis of current practices in narrative generation systems by combining previous theories in narratology and literature with current methods of AI. The book bridges the gap between AI, cognitive science, and narratology with narrative generation in a broad sense, including other content generation, such as a novels, poems, movies, computer games, and advertisements. The book emphasizes that an important method for bridging the gap is based on designing and implementing computer programs using knowledge and methods of narratology and literary theories. In order to present an organic, systematic, and integrated combination of both the fields to develop a new research area, namely post-narratology, this book has an important place in the creation of a new research area and has an impact on both narrative generation studies, including AI and cognitive science, and narrative studies, including narratology and literary theories. It is ideally designed for academicians, researchers, and students, as well as enterprise practitioners, engineers, and creators of diverse content generation fields such as advertising production, computer game creation, comic and manga writing, and movie production.
Author: Ulrika Jagare Publisher: Wiley ISBN: 9781119833192 Category : Computers Languages : en Pages : 272
Book Description
A holistic and real-world approach to operationalizing artificial intelligence in your company In Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jägare, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing data engineering, model development, and AI operations. You'll learn the importance of embracing an AI operational mindset to successfully operate AI and lead AI initiatives through the entire lifecycle, including key areas such as; data mesh, data fabric, aspects of security, data privacy, data rights and IPR related to data and AI models. In the book, you’ll also discover: How to reduce the risk of entering bias in our artificial intelligence solutions and how to approach explainable AI (XAI) The importance of efficient and reproduceable data pipelines, including how to manage your company's data An operational perspective on the development of AI models using the MLOps (Machine Learning Operations) approach, including how to deploy, run and monitor models and ML pipelines in production using CI/CD/CT techniques, that generates value in the real world Key competences and toolsets in AI development, deployment and operations What to consider when operating different types of AI business models With a strong emphasis on deployment and operations of trustworthy and reliable AI solutions that operate well in the real world—and not just the lab—Operating AI is a must-read for business leaders looking for ways to operationalize an AI business model that actually makes money, from the concept phase to running in a live production environment.
Author: Ulrika Jagare Publisher: John Wiley & Sons ISBN: 1119833213 Category : Computers Languages : en Pages : 237
Book Description
A holistic and real-world approach to operationalizing artificial intelligence in your company In Operating AI, Director of Technology and Architecture at Ericsson AB, Ulrika Jägare, delivers an eye-opening new discussion of how to introduce your organization to artificial intelligence by balancing data engineering, model development, and AI operations. You'll learn the importance of embracing an AI operational mindset to successfully operate AI and lead AI initiatives through the entire lifecycle, including key areas such as; data mesh, data fabric, aspects of security, data privacy, data rights and IPR related to data and AI models. In the book, you’ll also discover: How to reduce the risk of entering bias in our artificial intelligence solutions and how to approach explainable AI (XAI) The importance of efficient and reproduceable data pipelines, including how to manage your company's data An operational perspective on the development of AI models using the MLOps (Machine Learning Operations) approach, including how to deploy, run and monitor models and ML pipelines in production using CI/CD/CT techniques, that generates value in the real world Key competences and toolsets in AI development, deployment and operations What to consider when operating different types of AI business models With a strong emphasis on deployment and operations of trustworthy and reliable AI solutions that operate well in the real world—and not just the lab—Operating AI is a must-read for business leaders looking for ways to operationalize an AI business model that actually makes money, from the concept phase to running in a live production environment.
Author: P. Buitelaar Publisher: IOS Press ISBN: 1607502968 Category : Computers Languages : en Pages : 292
Book Description
The promise of the Semantic Web is that future web pages will be annotated not only with bright colors and fancy fonts as they are now, but with annotation extracted from large domain ontologies that specify, to a computer in a way that it can exploit, what information is contained on the given web page. The presence of this information will allow software agents to examine pages and to make decisions about content as humans are able to do now. The classic method of building an ontology is to gather a committee of experts in the domain to be modeled by the ontology, and to have this committee agree on which concepts cover the domain, on which terms describe which concepts, on what relations exist between each concept and what the possible attributes of each concept are. All ontology learning systems begin with an ontology structure, which may just be an empty logical structure, and a collection of texts in the domain to be modeled. An ontology learning system can be seen as an interplay between three things: an existing ontology, a collection of texts, and lexical syntactic patterns. The Semantic Web will only be a reality if we can create structured, unambiguous ontologies that model domain knowledge that computers can handle. The creation of vast arrays of such ontologies, to be used to mark-up web pages for the Semantic Web, can only be accomplished by computer tools that can extract and build large parts of these ontologies automatically. This book provides the state-of-art of many automatic extraction and modeling techniques for ontology building. The maturation of these techniques will lead to the creation of the Semantic Web.
Author: Ana Respício Publisher: IOS Press ISBN: 1607505762 Category : Computers Languages : en Pages : 616
Book Description
Presents the advances in decision support theory and practice with a focus on bridging the socio-technical gap. This book covers a wide range of topics including: Understanding DM, Design of DSS, Web 2.0 Systems in Decision Support, Business Intelligence and Data Warehousing, Applications of Multi-Criteria Decision Analysis, and more.
Author: Joseph E. Gaugler Publisher: Academic Press ISBN: 0128138998 Category : Psychology Languages : en Pages : 498
Book Description
Bridging the Family Care Gap explores expected future shortages of family caregivers of older persons and identifies potential solutions. The book examines the sustainability and availability of care management models and whether they can be effectively scaled up to meet community needs. It identifies newly emerging policy initiatives at local, state, and federal levels. The book addresses the state of family caregiving science, dissemination and implementation of promising programs and supports, technological innovations, and other strategies to offset the family care gap. This edited volume also explores lay healthcare workers as guides, interpreters, and advocates in healthcare systems that provide continuity of contact for family caregivers. Details threats to family caregiving-sociodemographic, chronic disease, and socioeconomic challenges Presents solutions to the caregiving gap in a systematic, synthesized manner Addresses the intersection of family caregiving and technology Discusses chronic disease management to offset and reduce the need for family caregiving Describes models of caregiver support in work settings Reimagines the delivery of long-term services and supports with novel initiatives
Author: Rume Dominic Publisher: Independently Published ISBN: Category : Languages : en Pages : 0
Book Description
Throughout human history, our pursuit of innovation and discovery has never ceased. With each passing generation, we build upon the works of those before us, striving to understand more about ourselves and the universe. In recent times, we have created machines that extraordinarily mirror human intelligence. As you read "From Code to Consciousness," you'll enter a realm where science meets philosophy, technology embraces humanity, and the lines between biological life and artificial intelligence begin to blur. This exploration delves into one of the most profound questions of our age: What does it mean for a machine to be conscious? It all begins with code, a set of programming instructions that enable computers to perform tasks, solve problems, and execute commands. Code has evolved from simple calculations to sophisticated algorithms that can mimic human thought patterns. But where does consciousness fit in? Consciousness is something deeply human, an internal experience that defies easy definition. It's our awareness of ourselves and the world around us. Can a machine possess this spark? Can code evolve into consciousness? To delve into these questions, we must explore various fields, from artificial intelligence and machine learning to neuroscience and ethics. As we create machines that can potentially feel, we are holding a mirror to our nature and asking what it means to be human in an age of intelligent machines. This book bridges two worlds, a nexus where science and philosophy intermingle, where the technical meets the existential. It invites you to ponder the profound, question the status quo, and imagine a future where the boundary between humans and machines is a gateway to new possibilities. "From Code to Consciousness" is your guide and companion in an incredible journey from the tangible to the mysterious. It challenges your thoughts, ignites your curiosity, and inspires you to see technology, humanity, and consciousness in a new light.
Author: Bernhard Steffen Publisher: Springer Nature ISBN: 3031460022 Category : Computers Languages : en Pages : 454
Book Description
This book constitutes the proceedings of the First International Conference on Bridging the Gap between AI and Reality, AISoLA 2023, which took place in Crete, Greece, in October 2023. The papers included in this book focus on the following topics: The nature of AI-based systems; ethical, economic and legal implications of AI-systems in practice; ways to make controlled use of AI via the various kinds of formal methods-based validation techniques; dedicated applications scenarios which may allow certain levels of assistance; and education in times of deep learning.
Author: Jonathan Bennet Publisher: Publishdrive ISBN: 9789635232543 Category : Languages : en Pages : 0
Book Description
Amid the Digital Age, a quiet but transformative revolution is taking place. Artificial Intelligence (AI) is the essential component of this revolution, a field of study that has rapidly evolved from the realms of science fiction into a tangible and powerful tool reshaping the world around us. But what exactly is AI? Is it a mere set of algorithms or the harbinger of a new era where man andmachine work together in unprecedented harmony? This e-book, "The Artificial Intelligence Nexus: Bridging the Gap between Man and Machine," aims to demystify the intricate world of AI and present a comprehensive overview of its journey, from its nascent stages to its current ubiquitous presence. We will delve into how AI impacts our daily lives, from personal digital assistants to groundbreaking medical diagnoses, and discuss the profound ethical considerations accompanying this technological prowess. While AI is often painted in popular culture as an ominous force leading to job displacements and potentially unchecked power, this e-book offers a balanced view, highlighting the enormous potential of human-machine collaboration. As we navigate through the chapters, readers will gain insights into the diverse facets of AI, including its role in the workforce, its influence on creative industries, and its future trajectory.
Author: Fluid Ai Artificial Intelligence
Author: Fluid Ai Artificial Intelligence
Author: Ogata, Takashi
Author: Ulrika Jagare
Author: Ulrika Jagare
Author: P. Buitelaar
Author: Ana Respício
Author: Joseph E. Gaugler
Author: Rume Dominic
Author: Bernhard Steffen
Author: Jonathan Bennet