Scaling Responsible Ai
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Scaling Responsible Ai
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Author : Noelle Russell
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-18
Scaling Responsible Ai written by Noelle Russell 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 2025-03-18 with Computers categories.
Implement AI in your organization with confidence while mitigating risk with responsible, ethical guardrails Much like a baby tiger in the wild, artificial intelligence is almost irresistibly alluring. But, just as those tiger cubs inevitably grow up into formidable and fierce adults, the dangers and risks of AI make it a force unto itself. Useful and profitable, yes, but also inherently powerful and risky. In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI. In this groundbreaking book, Noelle Russell reveals an executable framework to: Harness AI's full potential while safeguarding your firm's reputation Mitigate bias, accuracy, privacy, and cybersecurity risks from the start Make informed choices by seeing through the hype and identifying true AI value Develop an ethical AI culture across teams and leadership Scaling Responsible AI equips executives, managers, and board members with the knowledge and responsibility to make smart AI decisions. Avoid compliance disasters, brand damage, or wasted resources on AI that fails to deliver. Implement artificial intelligence that drives profits, innovation, and competitive edge—the responsible way.
Introducing Mlops
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Author : Mark Treveil
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-11-30
Introducing Mlops written by Mark Treveil and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-30 with Computers categories.
More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you: Fulfill data science value by reducing friction throughout ML pipelines and workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized
Ai Product Management Scaling Impact On Bigtech 2025
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Author : Author:1- Divij Pasrija, Author:1- Prof (Dr) Sandeep Kumar
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :
Ai Product Management Scaling Impact On Bigtech 2025 written by Author:1- Divij Pasrija, Author:1- Prof (Dr) Sandeep Kumar and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE Artificial Intelligence (AI) has rapidly become one of the most transformative forces across industries, offering unprecedented opportunities to innovate, automate, and create more personalized experiences. The integration of AI into product management processes has emerged as a critical capability for tech companies striving to maintain competitive advantage and deliver impactful solutions at scale. “AI Product Management: Scaling Impact in Big Tech” is designed to bridge the knowledge gap between the complex world of AI and the strategic, executional demands of product management within large tech organizations. As AI continues to reshape how products are developed, launched, and scaled, it presents both exciting opportunities and considerable challenges. For product managers, the integration of AI into their product strategy demands a unique understanding of machine learning, data infrastructure, and AI-driven decision-making processes. This book offers readers a comprehensive guide to navigate the complexities of AI product development, focusing on the challenges that come with building, scaling, and managing AI products in the fast-paced world of Big Tech. We will delve into the intersection of AI technology and product management, exploring key concepts, strategies, and tools essential for successfully managing AI-driven products. Whether you are an aspiring product manager, a seasoned professional looking to enhance your AI knowledge, or a leader in an organization with a growing AI portfolio, this book aims to equip you with the practical insights and frameworks necessary to scale AI products effectively. Drawing on real-world examples, industry case studies, and expert insights, “AI Product Management: Scaling Impact in Big Tech” will help you understand the full product lifecycle in AI, from ideation and development to deployment and iteration. In addition, it emphasizes the importance of collaboration across cross-functional teams, the role of ethical considerations, and the ability to align AI innovation with overarching business goals. This book is a resource for those who wish to master the art and science of AI product management. By the end of this journey, readers will be well-prepared to navigate the challenges and seize the opportunities that come with managing impactful AI products at scale, driving innovation, and creating tangible value for organizations and society alike. Author
Artificial Intelligence Implementation Guide
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Author : Azhar Zia-ur-Rehman
language : en
Publisher: AuthorHouse
Release Date : 2025-07-27
Artificial Intelligence Implementation Guide written by Azhar Zia-ur-Rehman and has been published by AuthorHouse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-27 with Business & Economics categories.
AI is inevitable. Every organisation has to adopt it. The challenge is to do this adoption in spite of the risks and the pitfalls. The transformation methodology -- DIGI4MATION -- presented by the author in his earlier book has been adopted herein as a customised methodology for the implementation of AI in an organisation. This customed 16-step methodology has been named as AI4mation -- transformation to AI in the fourth industrial revolution. This book has been written as a detailed guide using which an organisation can successfully transform itself to AI using its internal resources without the help of expensive consultants. A comprehensive set of Appendices has been included to give templates of the most critical deliverables. This Guide is based on Lean Six Sigma, TOGAF, ISO 42001, ISO 37000 series, ISO 38500 series, and the ISO 27001 series in addition to other standards. Whether you are starting your AI journey or are deep in the throes of scaling it across your enterprise, this book will give you a framework to think strategically, act systematically, and improve continuously. The author has added three case studies – two of them based on actual experience, but with masked identity. The third case study – that of a hospital, is AI-generated. The author hopes that this Guide proves to be a valuable asset to organisations transforming themselves to adopt AI and saves them heavy costs of consultants. The author remains available for any further guidance or help at [email protected] or through LinkedIn. The companion Website for this book is ai4mation.org
Responsible Ai
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Author : Olivia Gambelin
language : en
Publisher: Kogan Page Publishers
Release Date : 2024-06-03
Responsible Ai written by Olivia Gambelin and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-03 with Business & Economics categories.
Responsible AI is a guide to how business leaders can develop and implement a robust and responsible AI strategy for their organizations. Responsible AI has rapidly transitioned to a strategic priority for leaders and organizations worldwide. Responsible AI guides readers step-by-step through the process of establishing robust yet manageable ethical AI initiatives for any size organization, outlining the three core pillars of building a responsible AI strategy: people, process and technology. It provides the insight and guidance needed to help leaders fully understand the technical and commercial potential of ethics in AI while also covering the operations and strategy needed to support implementation. Responsible AI breaks down what it means to use ethics and values as a modern-day decision-making tool in the design and development of AI. It conceptually covers both how ethics can be used to identify risks and establish safeguards in the development of AI and how to use ethics-by-design methods to stimulate AI innovation. It also covers the different considerations for large enterprises and SMEs and discusses the role of the AI ethicist. It is supported by practical case studies from organizations such as IKEA, Nvidia, Rolls-Royce and NatWest Group.
Scaling Enterprise Solutions With Large Language Models
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Author : Arindam Ganguly
language : en
Publisher: Springer Nature
Release Date : 2025-05-20
Scaling Enterprise Solutions With Large Language Models written by Arindam Ganguly and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-20 with Computers categories.
Artificial Intelligence (AI) is the bedrock of today's applications, propelling the field towards Artificial General Intelligence (AGI). Despite this advancement, integrating such breakthroughs into large-scale production-grade enterprise applications presents significant challenges. This book addresses these hurdles in the domain of large language models within enterprise solutions. By leveraging Big Data engineering and popular data cataloguing tools, you’ll see how to transform challenges into opportunities, emphasizing data reuse for multiple AI models across diverse domains. You’ll gain insights into large language model behavior by using tools such as LangChain and LLamaIndex to segment vast datasets intelligently. Practical considerations take precedence, guiding you on effective AI Governance and data security, especially in data-sensitive industries like banking. This enterprise-focused book takes a pragmatic approach, ensuring large language models align with broader enterprise goals. From data gathering to deployment, it emphasizes the use of low code AI workflow tools for efficiency. Addressing the challenges of handling large volumes of data, the book provides insights into constructing robust Big Data pipelines tailored for Generative AI applications. Scaling Enterprise Solutions with Large Language Models will lead you through the Generative AI application lifecycle and provide the practical knowledge to deploy efficient Generative AI solutions for your business. What You Will Learn Examine the various phases of an AI Enterprise Applications implementation. Turn from AI engineer or Data Science to an Intelligent Enterprise Architect. Explore the seamless integration of AI in Big Data Pipelines. Manage pivotal elements surrounding model development, ensuring a comprehensive understanding of the complete application lifecycle. Plan and implement end-to-end large-scale enterprise AI applications with confidence. Who This Book Is For Enterprise Architects, Technical Architects, Project Managers and Senior Developers.
Azure Ai Services At Scale For Cloud Mobile And Edge
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Author : Simon Bisson
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-04-11
Azure Ai Services At Scale For Cloud Mobile And Edge written by Simon Bisson and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-11 with Computers categories.
Take advantage of the power of cloud and the latest AI techniques. Whether you're an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this book's got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. This book shows you how cloud AI services fit in alongside familiar software development approaches, walks you through key Microsoft AI services, and provides real-world examples of AI-oriented architectures that integrate different Azure AI services. All you need to get started is a working knowledge of basic cloud concepts. Become familiar with Azure AI offerings and capabilities Build intelligent applications using Azure Cognitive Services Train, tune, and deploy models with Azure Machine Learning, PyTorch, and the Open Neural Network Exchange (ONNX) Learn to solve business problems using AI in the Power Platform Use transfer learning to train vision, speech, and language models in minutes
Scalable Artificial Intelligence For Healthcare
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Author : Houneida Sakly
language : en
Publisher: CRC Press
Release Date : 2025-05-06
Scalable Artificial Intelligence For Healthcare written by Houneida Sakly and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-06 with Computers categories.
This edited volume examines the transformative impact of AI technologies on global healthcare systems, with a focus on enhancing efficiency and accessibility. The content provides a comprehensive exploration of the principles and practices required to scale AI applications in healthcare, addressing areas such as diagnosis, treatment, and patient care. Key topics include data scalability, model deployment, and infrastructure design, highlighting the use of microservices, containerization, cloud computing, and big data technologies in building scalable AI systems. Discussions cover advancements in machine learning models, distributed processing, and transfer learning, alongside critical considerations such as continuous integration, data privacy, and ethics. Real-world case studies depict both the successes and challenges of implementing scalable AI across various healthcare environments, offering valuable insights for future advancements. This volume serves as a practical and theoretical guide for healthcare professionals, AI researchers, and technology enthusiasts seeking to develop or expand on AI-driven healthcare solutions to address global health challenges effectively.
This Little World
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Author : Michael J. Halvorson
language : en
Publisher: Taylor & Francis
Release Date : 2024-08-06
This Little World written by Michael J. Halvorson and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-06 with Business & Economics categories.
Our planet has never been smaller. Technological advancements have compressed time and space, making the world more immediate and interconnected. This Little World clearly sets out how social innovation practices can enable organizations and communities to create a more sustainable, just, and equitable future for our shared lives on Earth. Today, cloud‐based communication systems span the globe, connecting people and markets in the blink of an eye. Remote workers interact daily on high‐impact, virtual teams. Telehealth professionals provide medical care to the residents of secluded mountain villages. But a shrinking planet is not without its challenges: climate change, food shortages, pollution, and war are persistent headwinds. We need strategies and tools that promote stability and growth, and we need technology that is more inclusive, trusted, and focused on community goals. This Little World seeks to inspire those who aim to explore the rich and rewarding world of social innovation. It is a practical guide to innovation opportunities that will enrich an organization’s capacity for transformation and impact. The book explores how social impact employees can create projects that are purpose‐driven, scalable, and successful. With insights from leading social innovators, the book demonstrates how "tech for good" organizations are using social innovation strategies, emerging tools, and sustainable practices to support environmental causes, humanitarian initiatives, accessibility, healthcare, cultural heritage, and more. This Little World: A How‐To Guide for Social Innovators is for technologists, business leaders, managers, and employees in the social impact sector, as well as anyone with aspirations for purpose‐driven outcomes in their work. Corporate executives, entrepreneurs, and students alike can learn from this new model of innovation, where it is possible to do good and do well. For more about the This Little World project, visit www.thislittleworld.org.
The Future Computed
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Author : Microsoft Corporation
language : en
Publisher:
Release Date : 2018
The Future Computed written by Microsoft Corporation and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Artificial intelligence categories.