Generative Ai Transformation Blueprint
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Generative Ai Transformation Blueprint
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Author : I. Almeida
language : en
Publisher: Now Next LaterAI
Release Date : 2023-11-30
Generative Ai Transformation Blueprint written by I. Almeida and has been published by Now Next LaterAI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-30 with Business & Economics categories.
2025 Edition. This practical and concise guide provides senior decision-makers with a clear, accessible roadmap for harnessing the power of generative AI, enhancing innovation, and boosting business outcomes. Drawing on insights from AI-enabled business transformations in diverse sectors, it presents a validated strategic approach. This blueprint not only outlines best practices but also showcases pioneering use cases, integrating them into a cohesive framework for practical implementation. This scenario-based approach helps leaders understand where and how to apply the practices outlined. Spanning across areas from strategic alignment and talent development to ethical governance and sustaining a competitive edge amid relentless underlying progress, it delivers clarity for charting an optimal Generative AI roadmap. This book is designed for busy executives and can be read in less than two hours. For a more in-depth exploration of Generative AI for business, check out our book "Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype." Who this Book is For The core audience comprises senior executives like CEOs, Transformation advisors, strategic planners, technology heads, product leaders or functional unit heads keen on harnessing generative AI for a competitive edge but needing authoritative counsel consolidating recent lessons into a crisp actionable package to aid planning. Key Topics Covered - Understanding Generative AI: What it is, key capabilities and applications, strengths and limitations. - Strategic Alignment: Mapping generative AI to business goals, prioritizing high-impact use cases, managing risks. - Talent and Skills: Developing in-house capabilities through upskilling programs, attracting and retaining external AI talent. - Technology Integration: Assessing IT infrastructure readiness, optimizing make vs buy decisions for AI solutions. - Implementation and Scaling: Pilot testing for viability, expanding validated applications through metrics-driven scaling. - Risk Management and Ethics: Governing biases and reliability issues, safeguarding data privacy and security. - Organizational Change: Securing leadership commitment, preparing the workforce to adopt new AI-powered processes. - Continuous Improvement: Quantifying value through KPIs, optimizing models through responsive feedback loops. - Future-Proofing: Investing in R&D for sustained innovation, building agility to adapt to rapid AI progress. Featuring use studies, business scenarios, practical frameworks, and research insights from top consultancies and AI leaders, this book delivers a visionary yet pragmatic roadmap for AI transformation. A must-read guide for any organization looking to leverage generative AI for competitive advantage.
Generative Ai Transformation Blueprint
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Author : I. Almeida
language : en
Publisher: Byte-Sized Learning
Release Date : 2023-12-22
Generative Ai Transformation Blueprint written by I. Almeida and has been published by Byte-Sized Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-22 with categories.
Generative Ai For Business Leaders
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Author : I. Almeida
language : en
Publisher: Now Next Later AI
Release Date : 2023-12-03
Generative Ai For Business Leaders written by I. Almeida and has been published by Now Next Later AI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-03 with Business & Economics categories.
2025 Edition. Business leaders must understand how to effectively leverage Generative AI within their companies in order to remain competitive. This book collection offers a fresh, timely viewpoint on this critical topic. Readers will gain foundational knowledge about AI and Generative algorithms while exploring both the potential benefits, risks and ethics involved. Guidance is provided on enhancing an organization's offerings, operating model and strategic direction while mitigating biases and negative consequences. The book collection lays out a comprehensive approach for businesses to successfully adopt and integrate Generative AI technologies. Common errors and challenges that companies face in this relatively new domain are highlighted, along with proven tactics to overcome them and achieve strong results. A comprehensive playbook to unlock the commercial potential of generative AI for managers, directors, executives, governance specialists, and any professionals interested in the intersection of business and emerging technologies. Book: Generative AI Transformation Blueprint Drawing on insights from AI-enabled business transformations in diverse sectors, it presents a validated strategic approach. This blueprint not only outlines best practices but also showcases pioneering use cases, integrating them into a cohesive framework for practical implementation. This scenario-based approach helps leaders understand where and how to apply the practices outlined. Spanning across areas from strategic alignment and talent development to ethical governance and sustaining a competitive edge amid relentless underlying progress, it delivers clarity for charting an optimal Generative AI roadmap. Book: Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype Finalist for the 2023 HARVEY CHUTE Book Awards recognizing emerging talent and outstanding works in the genre of Business and Enterprise Non-Fiction. Explore the transformative potential of technologies like ChatGPT and Claude. These large language models (LLMs) promise to reshape how businesses operate. Aimed at non-technical business leaders, this guide offers a pragmatic approach to leveraging LLMs for tangible benefits, while ensuring ethical considerations aren't sidelined. LLMs can refine processes in marketing, software development, HR, R&D, customer service, and even legal operations. But it's essential to approach them with a balanced view. In this guide, you'll: - Learn about the rapid advancements of LLMs. - Understand complex concepts in simple terms. - Discover practical business applications. - Get strategies for smooth integration. - Assess potential impacts on your team. - Delve into the ethics of deploying LLMs. Book: Artificial Intelligence Fundamentals for Business Leaders: Up to Date With Generative AI The perfect guide to help non-technical business leaders understand the power of AI: Machine Learning, Neural Networks, and Data Management. Up to date with Generative AI. More Than a Book Collection By purchasing this series, you will also be granted free access to the AI Academy platform. There you can test your knowledge through end-of-chapter quizzes and engage in discussion. You will also receive free modules and 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion.
Artificial Intelligence Fundamentals For Business Leaders
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Author : I. Almeida
language : en
Publisher: Now Next Later AI
Release Date : 2023-06
Artificial Intelligence Fundamentals For Business Leaders written by I. Almeida and has been published by Now Next Later AI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06 with Business & Economics categories.
2025 Edition. Free access to the AI Academy! The perfect guide to help non-technical business leaders understand the power of AI. Completely up to date with the latest advancements in generative AI. Part of the Byte-sized Learning AI series by Now Next Later AI, these books break down complex concepts into easily digestible pieces, providing you with a solid foundation in the fundamentals of AI. More Than a Book By purchasing this book, you will also be granted free access to the AI Academy platform. There you can view free course modules, test your knowledge through quizzes, attend webinars, and engage in discussion with other readers. You will also receive free modules and 50% discount toward the enrollment in the self-paced course of the same name and enjoy video summary lessons, instructor-graded assignments, and live sessions. A course certificate will be awarded upon successful completion. AI Academy by Now Next Later AI We are the most trusted and effective learning platform dedicated to empowering leaders with the knowledge and skills needed to harness the power of AI safely and ethically. Book and Course Learning Rubric - Chapters 1-7: Understanding of AI [11%] —Demonstrated comprehension of AI's evolution, definition, applications, and comparison with human intelligence. - Chapters 8-13: Understanding of Data and Data Management [11%] — Clear understanding of the significance of big data, and strategies for data management. - Chapters 14-29: Understanding of Machine Learning [30%] — Familiarity with machine learning algorithms, different learning types, and the key steps involved in a machine learning project. - Chapters 30-35: Understanding of Deep Learning [9%] — Understanding of deep learning, its basics, and the structure and types of neural networks. - Chapters 36-40: Understanding of Model Selection and Evaluation [9%] — Ability to select and evaluate machine learning models and utilize them for decision-making. - Chapters 41-50: Understanding of Generative AI [15%] — Detailed understanding of generative AI, its value chain, models, prompt strategies, applications, opportunities, and governance challenges. Assignment: Practical Application [15%] — Ability to apply generative AI understanding to real-world business challenges, demonstrating critical thinking and strategic planning skills.
Governance In The Age Of Gen Ai
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Author : Ashwin Rangan
language : en
Publisher: Archway Publishing
Release Date : 2025-05-28
Governance In The Age Of Gen Ai written by Ashwin Rangan and has been published by Archway Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Technology & Engineering categories.
Board members and management need to understand how generative AI impacts their business and the industry, and what strategic choices will enable them to exploit the opportunities and manage the challenges. In Governance in The Age of Gen AI, authors Ashwin Rangan and Dean A. Yoost present twelve vantage points on generative AI. Beginning with a discussion of the new foundation of artificial intelligence, market, and competitive analysis, and the technology and AI infrastructure requirements, the chapters move to the criticality of data governance, and hallucinations, prompt engineering, and retrieval-augmented generation. Rangan and Yoost then transition to the critical roles and skills development, managing the risks, and testing, evaluation, and measuring the success, as well as software development and system integration, creating the strategy, and the board’s governance in the age of AI. It closes with perspectives on what is likely to be next. The handbook serves as a guide for directors and management, offering a practical lens to the most important questions and emerging challenges with generative AI. In an easy-to-read and understandable format, it offers information about the fundamentals of AI, and it tells how to stimulate creative and critical thinking in the boardroom. The power of generative AI is just beginning to be recognized and valued. Board members and executives need to be fully informed to get their organizations on top of the wave.
Human Machine
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Author : Paul R. Daugherty
language : en
Publisher: Harvard Business Press
Release Date : 2018-03-20
Human Machine written by Paul R. Daugherty 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 2018-03-20 with Computers categories.
AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.
Enterprise Ai In The Cloud
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Author : Rabi Jay
language : en
Publisher: John Wiley & Sons
Release Date : 2023-12-20
Enterprise Ai In The Cloud written by Rabi Jay 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 2023-12-20 with Computers categories.
Embrace emerging AI trends and integrate your operations with cutting-edge solutions Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, and machine learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide. The author shows you how to start an enterprise-wide AI transformation effort, taking you all the way through to implementation, with clearly defined processes, numerous examples, and hands-on exercises. You'll also discover best practices on optimizing cloud infrastructure for scalability and automation. Enterprise AI in the Cloud helps you gain a solid understanding of: AI-First Strategy: Adopt a comprehensive approach to implementing corporate AI systems in the cloud and at scale, using an AI-First strategy to drive innovation State-of-the-Art Use Cases: Learn from emerging AI/ML use cases, such as ChatGPT, VR/AR, blockchain, metaverse, hyper-automation, generative AI, transformer models, Keras, TensorFlow in the cloud, and quantum machine learning Platform Scalability and MLOps (ML Operations): Select the ideal cloud platform and adopt best practices on optimizing cloud infrastructure for scalability and automation AWS, Azure, Google ML: Understand the machine learning lifecycle, from framing problems to deploying models and beyond, leveraging the full power of Azure, AWS, and Google Cloud platforms AI-Driven Innovation Excellence: Get practical advice on identifying potential use cases, developing a winning AI strategy and portfolio, and driving an innovation culture Ethical and Trustworthy AI Mastery: Implement Responsible AI by avoiding common risks while maintaining transparency and ethics Scaling AI Enterprise-Wide: Scale your AI implementation using Strategic Change Management, AI Maturity Models, AI Center of Excellence, and AI Operating Model Whether you're a beginner or an experienced AI or MLOps engineer, business or technology leader, or an AI student or enthusiast, this comprehensive resource empowers you to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments. With over 300 review questions, 50 hands-on exercises, templates, and hundreds of best practice tips to guide you through every step of the way, this book is a must-read for anyone seeking to accelerate AI transformation across their enterprise.
Generative Ai Powered Assistant For Developers
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Author : Behram Irani
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-08-30
Generative Ai Powered Assistant For Developers written by Behram Irani and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Computers categories.
Leverage Amazon Q Developer to boost productivity and maximize efficiency by accelerating software development life cycle tasks Key Features First book on the market to thoroughly explore all of Amazon Q Developer’s features Gain an understanding of Amazon Q Developer's capabilities across the software development life cycle through real-world examples Build apps with Amazon Q Developer by auto-generating code in various languages within supported IDEs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany developers face the challenge of managing repetitive tasks and maintaining productivity. This book will help you tackle both these challenges with Amazon Q Developer, a generative AI-powered assistant designed to optimize coding and streamline workflows. This book takes you through the setup and customization of Amazon Q Developer, demonstrating how to leverage its capabilities for auto-code generation, code explanation, and transformation across multiple IDEs and programming languages. You'll learn to use Amazon Q Developer to enhance coding experiences, generate accurate code references, and ensure security by scanning for vulnerabilities. The book also shows you how to use Amazon Q Developer for AWS-related tasks, including solution building, applying architecture best practices, and troubleshooting errors. Each chapter provides practical insights and step-by-step guidance to help you fully integrate this powerful tool into your development process. You’ll get to grips with effortless code implementation, explanation, transformation, and documentation, helping you create applications faster and improve your development experience. By the end of this book, you’ll have mastered Amazon Q Developer to accelerate your software development lifecycle, improve code quality, and build applications faster and more efficiently.What you will learn Understand the importance of generative AI-powered assistants in developers' daily work Enable Amazon Q Developer for IDEs and with AWS services to leverage code suggestions Customize Amazon Q Developer to align with organizational coding standards Utilize Amazon Q Developer for code explanation, transformation, and feature development Understand code references and scan for code security issues using Amazon Q Developer Accelerate building solutions and troubleshooting errors on AWS Who this book is for This book is for coders, software developers, application builders, data engineers, and technical resources using AWS services looking to leverage Amazon Q Developer's features to enhance productivity and accelerate business outcomes. Basic coding skills are needed to understand the concepts covered in this book.
Salesforce Appexchange Success Blueprint
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Author : Jakub Stefaniak
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-10-27
Salesforce Appexchange Success Blueprint written by Jakub Stefaniak and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-27 with Computers categories.
Design, develop, publish, monetize, and scale your Salesforce application to become a successful independent software vendor (ISV) on the AppExchange Key Features Set up a strong foundation and make informed decisions to create innovative solutions Explore the world of the AppExchange development lifecycle Understand essential business strategies to maximize profitability from technical and business standpoints Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAre you ready to turn your million-dollar ideas into reality? Salesforce AppExchange Success Blueprint is your ultimate guide to becoming a successful ISV partner and publishing your Salesforce applications on the AppExchange. This book covers every facet of the application development process, from the initial partnership establishment to smoothly preparing for security review and managing app releases. Packed with real-world examples, case studies, and detailed guides, it’ll help you master AppExchange development. Throughout this experience, you’ll discover how to create customer-centric applications that seamlessly integrate with external systems, ensuring a frictionless user experience. You’ll also navigate the intricate process of preparing for security reviews and managing app releases. In addition, you’ll delve into the critical realm of business strategy, addressing essential elements such as maximizing profitability, achieving operational excellence, leveraging analytics to make data-driven decisions, and effectively handling technical debt to maintain your app's robustness and scalability. By the end of this journey, you’ll possess a deep understanding of AppExchange development from both technical and business standpoints, making you well-prepared to excel in the Salesforce ecosystem. Let's embark on this exciting path together!What you will learn Find out how to become a successful ISV partner on the AppExchange Understand how to tackle the challenges of AppExchange development Uncover how to avoid common security review pitfalls Discover the best practices for configuring an AppExchange listing Maximize the revenue potential through pricing and monetization Understand how to manage technical debt to maintain product quality Build a successful and sustainable ISV partnership with Salesforce Who this book is forAre you a trailblazer exploring the untamed world of the Salesforce ecosystem, seeking opportunities for your business? You've come to the right place. This book is for a diverse range of readers - from budding Salesforce developers to seasoned AppExchange architects, tech entrepreneurs, and startup founders. Whether you're a visionary seeking to innovate within the Salesforce ecosystem, or a business owner considering expanding into the AppExchange market, this book will provide a comprehensive resource for success.
Intelligent Continuous Security
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Author : Marc Hornbeek
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-06-09
Intelligent Continuous Security written by Marc Hornbeek 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 2025-06-09 with Computers categories.
With AI in the hands of cybercriminals, traditional security controls and response mechanisms are swiftly moving toward obsolescence. Intelligent Continuous Security (ICS) helps organizations stay toe-to-toe with adversaries, replacing outmoded defenses with a cohesive strategy that unifies security across the entire software lifecycle. Author Marc Hornbeek outlines the principles, strategies, and real-world implementations of ICS, including how to break down silos between DevSecOps and SecOps, how to measure and optimize security effectiveness, and how AI can transform everything from security operations to regulatory compliance. Security professionals, DevOps engineers, IT leaders, and decision-makers will learn how to move toward adaptive, self-healing defenses to keep pace with emerging risks. Align security strategies with organizational goals Implement AI-assisted Continuous Security across teams Select and integrate AI-powered tools for vulnerability detection, automated compliance checks, and real-time incident response Transition from reactive to proactive security to continuously adapt to emerging threats Apply best practices to mitigate risks and avoid breaches