Download or read book Generative AI Strategy and Implementation written by Anand Vemula and published by Independently Published. This book was released on 2024-06-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Generative AI Strategy and Implementation: Mastering Techniques and Advanced Applications" is a comprehensive guide designed for professionals and enthusiasts eager to delve into the dynamic world of generative artificial intelligence (AI). The book offers an in-depth exploration of generative AI, blending theoretical foundations with practical applications to provide readers with a holistic understanding of the field. Part I: Understanding Generative AI lays the groundwork by defining generative AI, tracing its history, and explaining key concepts and terminologies. It covers various types of generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer models, along with other notable models. The section also delves into the theoretical foundations, discussing probabilistic models, neural network architectures, training techniques, and evaluation metrics. Part II: Strategic Considerations examines how generative AI can be integrated into business strategies. It highlights opportunities, competitive advantages, and risk management while addressing ethical and legal considerations, such as responsible AI practices and the regulatory landscape. Market trends and future directions are also discussed, supplemented by case studies and industry applications. Part III: Implementation and Deployment provides practical guidance on building generative AI models. It covers data collection and preparation, model selection, training and optimization, and evaluation and validation. Technical infrastructure needs, including hardware requirements, cloud versus on-premises solutions, and software tools, are detailed. The section also discusses deployment, integration, scalability, and continuous monitoring and maintenance, enriched with success stories and lessons learned. Part IV: Advanced Topics explores innovations in generative AI, including hybrid models, multimodal generative AI, and real-time applications. It also highlights generative AI's impact on creative industries, such as art, design, music, literature, media, and entertainment, as well as its applications in science and research, including drug discovery, climate modeling, and advanced simulations. Part V: Practical Workshops offers hands-on projects, such as developing a GAN, implementing a VAE, and building a text generator with transformers, providing complete solutions and tutorials. Part VI: Future Outlook discusses emerging technologies, potential challenges, and long-term implications of generative AI, concluding with a recap of key points, final thoughts, and next steps for practitioners.
Download or read book Introducing MLOps written by Mark Treveil and published by "O'Reilly Media, Inc.". This book was released on 2020-11-30 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Generative AI Transformation Blueprint written by I. Almeida and published by Now Next LaterAI. This book was released on 2023-11-30 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2024 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. 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. 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.
Download or read book Minds of Machines written by Rohan Sharma and published by Rohan Sharma. This book was released on 2023-06-06 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: Who should buy this book & Why? A practical guide for CXO’s & Corporate Boards on complex issues of AI Governance, Data Privacy, AI Regulations, AI Copyright ,AI Strategy, AI Operating Model at scale & guardrails to adopt Responsible AI. This book is written after months of extensive research & contains up to date references from : AI think tanks, The Brookings Institution - Center for Technology Innovation, AI Academic research labs at Stanford ,MIT,& Oxford, Excerpts from US & European Union congressional & parliamentary hearings, International organizations like World Economic Forum McKinsey & IBM's AI White-papers. Topics covered include: AI Governance AI Regulation AI Privacy AI Copyright & Intellectual Property AI Strategy AI Operating Model AI Partners & Alliances AI Budgets & Investments This book is for: This book is a must for C-suite & Board members to ask the right questions & have the right mental framework around AI ROI, AI governance & AI strategy & Operating Model for their organizations. This book is not for: For AI professionals early in their careers might not resonate with topics like Governance, culture, importance of complying with data security, privacy & compliance, strategy & operating model & importance of forging alliances. The book talks about each of these board agenda topics in details, bring up the most crucial questions in these domain & give a mental framework & perspective to help executives form an approach to deal with these issues. Each chapter is written after thoroughly researching facts, up to date information. There are occasional references from the publications mentioned above to give a deeper perspective. A follow up for this book will contain topics more relevant to Operational leaders.
Download or read book What s Your AI Strategy written by Will Thompson and published by Wiley. This book was released on 2022-05-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop an AI strategy that works for your clients and customers with this essential resource What's Your AI Strategy? The Forbes Ignite Guide to Customer-Centric Artificial Intelligence cuts to the quick of crafting an AI strategy that adds value for your users and customers—and your bottom line. Written by renowned strategists and consultants Will Thompson, VP and Managing Director of Forbes Insights and publisher of Forbes AI, and Nicole Cacal, CEO of Forbes Ignite,this book provides straightforward frameworks that guide readers in the development and implementation of customer-centric artificial intelligence that yields end-to-end value. What’s Your AI Strategy? presents thinking and design tools that help decision-makers, data teams, and consultants: Plan and complete artificial intelligence projects that make sense for their business and customers Understand the math and technology you’ll need to know to effectively implement AI in their business Create a business and data plan that considers people, process, technology, capital, and strategy This book couples the proprietary AI Customer Experience Canvas that Thompson and Cacal have developed with original research from Forbes Insights and interviews with famous experts in the field of artificial intelligence. It is an invaluable resource for anyone in business or government who wishes to contribute to digital transformation within their organization in a way that benefits their constituents or clients. What's Your AI Strategy? The Forbes Ignite Guide to Customer-Centric Artificial Intelligence cuts to the quick of crafting an AI strategy that adds value for your users and customers—and your bottom line. Written by renowned strategists and consultants Will Thompson, VP and Managing Director of Forbes Insights and publisher of Forbes AI, and Nicole Cacal, CEO of Forbes Ignite,this book provides straightforward frameworks that guide readers in the development and implementation of customer-centric artificial intelligence that yields end-to-end value. What’s Your AI Strategy? presents thinking and design tools that help decision-makers, data teams, and consultants: · Plan and complete artificial intelligence projects that make sense for their business and customers · Understand the math and technology you’ll need to know to effectively implement AI in their business · Create a business and data plan that considers people, process, technology, capital, and strategy
Download or read book Generative AI For Business Leaders written by I. Almeida and published by Now Next Later AI. This book was released on 2023-12-03 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2024 Edition. Free access to the AI Academy! One of the books in this collection is shortlisted for the 2023 HARVEY CHUTE Book Awards recognizing emerging talent and outstanding works in the genre of Business and Enterprise Non-Fiction. Byte-sized Learning AI series by Now Next Later AI: Practical guides providing senior decision-makers with a clear, accessible roadmap for harnessing the power of generative AI, enhancing innovation, and boosting business outcomes. Save by buying the entire 3 book series in one single collection and gain 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. Book: Generative AI Transformation Blueprint 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. Book: Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype Shortlisted for the 2023 HARVEY CHUTE Explore the transformative potential of technologies like GPT-4 and Claude 2. 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. With a clear aim to inform rather than influence, this book is your roadmap to adopting LLMs thoughtfully, maximizing benefits, and minimizing risks. Let's move beyond the noise and understand how LLMs can genuinely benefit your business. 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 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. We are a human-centric organization. Chat with us anytime.
Download or read book Generative AI for Business Leaders written by Anand Vemula and published by Independently Published. This book was released on 2024-06-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era where technological advancements shape business landscapes, "Generative AI for Business Leaders" serves as an essential guide for executives aiming to harness the transformative power of AI. This comprehensive book demystifies generative AI, providing leaders with the knowledge and tools needed to implement AI strategies effectively, drive innovation, and achieve sustainable growth. Part I: Introduction to Generative AI The book begins by offering a foundational understanding of generative AI, exploring its history, evolution, and core technologies like machine learning, deep learning, and neural networks. Readers are introduced to various applications of generative AI across industries, emphasizing its potential to revolutionize business operations and customer experiences. Part II: Strategic Implementation of Generative AI Focusing on strategy development, this section guides leaders through aligning AI initiatives with business goals. It highlights the importance of creating a robust AI roadmap, identifying high-impact areas, and building a compelling business case. Real-world examples and case studies illustrate successful AI strategies, helping leaders envision practical applications within their organizations. Chapter 5 delves into the critical aspect of building and leading AI teams. It discusses hiring the right talent, structuring teams for collaboration, and fostering a culture of innovation. Leaders learn how to integrate internal capabilities with external partnerships to maximize AI potential. Chapter 6 emphasizes data management and ethics, underlining the importance of high-quality data, ethical considerations, and compliance with regulations. Practical scenarios and use cases demonstrate how businesses can navigate these challenges effectively. Part III: Practical Applications and Case Studies This section showcases AI's practical applications in marketing, customer experience, operations, supply chain management, and product development. Through detailed examples and case studies, readers gain insights into how leading companies leverage AI for personalized marketing, customer support, demand forecasting, process automation, and innovation in product design and testing. Part IV: Challenges and Future Trends The book concludes by addressing common implementation challenges, such as change management and scaling AI solutions. It explores emerging trends and technologies, preparing leaders for the future of AI. The evolving role of leaders in an AI-driven world is discussed, emphasizing the need for continuous learning and strategic foresight. "Generative AI for Business Leaders" is a crucial resource for executives seeking to unlock AI's potential, drive innovation, and position their organizations for future success.
Download or read book Empowering the Public Sector with Generative AI written by Sanjeev Pulapaka and published by Apress. This book was released on 2024-11-11 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is your guide book to Generative AI (GenAI) and its application in addressing real-world challenges within the public sector. The book addresses a range of topics from GenAI concepts and strategy to public sector use cases, architecture patterns, and implementation best practices. With a general background in technology and the public sector, you will be able to understand the concepts in this book. The book will help you develop a deeper understanding of GenAI and learn how GenAI differs from traditional AI. You will explore best practices such as prompt engineering, and fine-tuning, and architectural patterns such as Retrieval Augmented Generation (RAG). And you will discover specific nuances, considerations, and strategies for implementation in a public sector organization. You will understand how to apply these concepts in a public sector setting and address industry-specific challenges and problems by studying a variety of use cases included in the book in the areas of content generation, chatbots, summarization, and program management. What You Will Learn GenAI concepts and how GenAI differs from traditional AI/ML Prompt engineering, fine-tuning, RAG, and customizing foundation models Strategy, methodologies, and frameworks for the public sector Public sector use cases in the areas of content generation, summarization, and chatbots, plus program management, analytics, business intelligence, and reporting Architecture and design patterns Implementation, operations, and maintenance of GenAI applications Who This Book Is For Technology and business leaders in the public sector who are new to AI/ML and are keen on exploring and harnessing the potential of Generative AI in their respective organizations.
Download or read book Responsible AI in the Age of Generative Models written by I. Almeida and published by Now Next Later AI. This book was released on 2024-03-11 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: In "Responsible AI in the Age of Generative Models: Governance, Ethics and Risk Management" we present a comprehensive guide to navigating the complex landscape of ethical AI development and deployment. As generative AI systems become increasingly powerful and ubiquitous, it is crucial to develop governance frameworks that mitigate potential risks while harnessing the technology's transformative potential. This book presents a rights-based approach, grounded in established human rights frameworks, to align AI systems with societal values and expectations. Divided into ten parts, the book covers a wide range of topics essential for responsible AI governance: Part I maps generative AI risks to specific human rights, while Part II presents a framework for institutionalizing rights-respecting AI practices throughout the development lifecycle. Part III delves into responsible data governance practices, and Part IV examines participatory approaches to data stewardship. Part V explores the roles and responsibilities of different organizational functions in operationalizing responsible AI, emphasizing the need for cross-functional collaboration. Transparency and algorithmic auditing are the focus of Part VI, followed by Part VII, which provides guidance on implementing effective multi-layered governance across the AI system lifecycle. Part VIII introduces maturity models for assessing an organization's responsible AI capabilities, and Part IX features an in-depth case study of Anthropic's innovative Constitutional AI approach. Finally, Part X analyzes emerging regulatory frameworks such as the EU AI Act and discusses the implications for businesses operating in multiple jurisdictions. "Responsible AI in the Age of Generative Models" equips readers with the knowledge, tools, and strategies needed to unlock the transformative potential of generative models while safeguarding human rights and promoting social justice. It is an essential resource for business leaders, policymakers, researchers, and anyone concerned about the future of AI governance. By embracing responsible AI as an imperative, we can work together to build a world where AI empowers and uplifts us all. This book is an invitation to engage in that critical conversation and take action towards a more equitable future.
Download or read book Generative AI For Business Leaders written by I. Almeida and published by Byte-sized Learning. This book was released on 2023-12-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Byte-sized Learning AI series by Now Next Later AI: Practical guides providing senior decision-makers with a clear, accessible roadmap for harnessing the power of generative AI, enhancing innovation, and boosting business outcomes. Save by buying the entire 3 book series in one single collection: Generative AI Transformation Blueprint Drawing on insights from leading consultancies and input from both established and rising leaders in the AI field, 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. Spanning across areas from strategic alignment and talent development to ethical governance and sustaining competitive edge amid relentless underlying progress, it delivers clarity for charting an optimal generative AI roadmap. Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype Shortlisted 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 GPT-4 and Claude 2. 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. With a clear aim to inform rather than influence, this book is your roadmap to adopting LLMs thoughtfully, maximizing benefits, and minimizing risks. Let's move beyond the noise and understand how LLMs can genuinely benefit your business. 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. More Than a Collection By purchasing this series, you will also be granted access to the AI Academy platform. There you can test your knowledge through end-of-chapter quizzes and engage in discussion with other readers. You will also receive 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.
Download or read book AI Ready written by Tony Fatouros and published by Independently Published. This book was released on 2024-07-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock your Generative AI leadership potential and become an innovation champion. Organizational Leaders are racing to harness the game-changing potential of Generative AI, but they're finding themselves tangled in a web of technical jargon, implementation hurdles, and strategic uncertainty. Is that you? "AI Ready" cuts through the noise, offering a clear path forward through AI's complexities. Tony Fatouros, a seasoned company insider with over two decades of experience guiding iconic brands through digital transformations, understands your challenges firsthand. He is you. This book is your practical roadmap, designed to transform uncertainty into actionable strategy. What sets "AI Ready" apart is its unique blend of insider knowledge, examples, and a step-by-step approach tailored for all types of leaders. Inside, you'll discover how to: Assess your organization's unique AI needs and opportunities Develop a robust Gen AI strategy aligned with your business goals Overcome common implementation challenges and resistance to change Transform Gen AI from a buzzword into a powerful driver of growth and innovation "AI Ready" guides you through every crucial aspect of your AI journey: Part I: The Organizational AI Journey - Align AI initiatives with business goals and manage risks effectively. Part II: Governance Readiness - Ensure ethical guidelines and regulatory compliance are appropriately implemented. Part III: AI Technology Architecture - Understand the impact of your organization's technology on Generative AI success. Part IV: Cultivating an AI-Ready Workforce - Build an AI-positive culture and foster continuous learning. Part V: Develop Your Organization's AI Playbook - Create a tailored roadmap for successful AI integration. With a proven approach and practical insights, "AI Ready" empowers you to lead with confidence. You'll gain the tools to make informed decisions, inspire your team, and position yourself as a forward-thinking leader who can turn the promise of Generative AI into reality. Chart your course to becoming an indispensable AI leader today.
Download or read book How to Develop a QA Strategy with Generative AI written by Bosun Sogeke and published by Bosun Sogeke. This book was released on 2024-08-16 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving landscape of software development, Quality Assurance (QA) plays a pivotal role in ensuring the reliability and performance of applications. "How to Develop a QA Strategy with Generative AI" provides a comprehensive guide to leveraging cutting-edge Generative AI technologies to enhance your QA processes. This ebook delves into the practical steps required to integrate AI into your existing QA workflows, from selecting the right tools to implementing automated testing and predictive analytics. Through detailed case studies, real-world examples, and step-by-step instructions, you’ll learn how to automate repetitive tasks, improve test accuracy, and significantly reduce testing cycles. Whether you’re a QA manager, software engineer, or tech enthusiast, this guide offers valuable insights into the future of QA. Discover how AI-driven tools can transform your approach to software quality, leading to better products and satisfied customers.
Download or read book Understanding Generative AI for Business Leaders written by Synergy AI Editions and published by . This book was released on 2024-06-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Large Language Models for Business Leaders written by I. Almeida and published by Now Next Later AI. This book was released on 2023-09-02 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Responsible AI Strategy Beyond Fear and Hype - 2024 Edition Shortlisted 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 GPT-4 and Claude 2. 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. With a clear aim to inform rather than influence, this book is your roadmap to adopting LLMs thoughtfully, maximizing benefits, and minimizing risks. Let's move beyond the noise and understand how LLMs can genuinely benefit your business. 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 can also view, for free, the first module of the self-paced course "AI Fundamentals for Business Leaders," and enjoy video lessons and webinars. No credit card required. 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.
Download or read book AI Strategy Implementation Planning Kit written by Denise Welch and published by . This book was released on 2024-06-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elevate Your Business with AI!Unlock the Future of Your Business with our Comprehensive AI Strategy & Implementation Planning Kit!Are you ready to integrate AI into your business but unsure where to start? Our AI Strategy & Implementation Planning Kit is designed specifically for small businesses to navigate the complexities of AI adoption with ease. Here's what you'll get:AI Maturity Assessment QuestionnaireEvaluate your current AI capabilities and readiness.Identify key areas for improvement and actionable steps.Roadmaps & TimelinesChoose between a 6-month or 12-month roadmap.Detailed timelines to guide your AI project from planning to deploymentImplementation ChecklistsStep-by-step checklists for every phase of your AI project.Ensure nothing is overlooked during your AI journey.ROI Analysis TemplateAssess the potential return on investment for your AI projects.Make data-driven decisions with confidence.Case Studies Across IndustriesReal-world examples from retail, healthcare, manufacturing, and more.Learn from the successes of others and apply best practices to your own projects.Why Choose Our AI Strategy & Implementation Planning Kit?Comprehensive: Covers every aspect of AI implementation.Practical: Easy-to-follow steps and actionable insights.Proven: Backed by successful case studies and industry best practices.Don't miss this opportunity to future-proof your business. Get started with AI today!
Download or read book The Secrets of AI Value Creation written by Michael Proksch and published by John Wiley & Sons. This book was released on 2024-03-04 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock unprecedented levels of value at your firm by implementing artificial intelligence In The Secrets of AI Value Creation: Practical Guide to Business Value Creation with Artificial Intelligence from Strategy to Execution, a team of renowned artificial intelligence leaders and experts delivers an insightful blueprint for unlocking the value of AI in your company. This book presents a comprehensive framework that can be applied to your organisation, exploring the value drivers and challenges you might face throughout your AI journey. You will uncover effective strategies and tactics utilised by successful artificial intelligence (AI) achievers to propel business growth. In the book, you’ll explore critical value drivers and key capabilities that will determine the success or failure of your company’s AI initiatives. The authors examine the subject from multiple perspectives, including business, technology, data, algorithmics, and psychology. Organized into four parts and fourteen insightful chapters, the book includes: Concrete examples and real-world case studies illustrating the practical impact of the ideas discussed within Best practices used and common challenges encountered when first incorporating AI into your company’s operations A comprehensive framework you can use to navigate the complexities of AI implementation and value creation An indispensable blueprint for artificial intelligence implementation at your organisation, The Secrets of AI Value Creation is a can’t-miss resource for managers, executives, directors, entrepreneurs, founders, data analysts, and business- and tech-side professionals looking for ways to unlock new forms of value in their company. The authors, who are industry leaders, assemble the puzzle pieces into a comprehensive framework for AI value creation: Michael Proksch is an expert on the subject of AI strategy and value creation. He worked with various Fortune 2000 organisations and focuses on optimising business operations building customised AI solutions, and driving organisational adoption of AI through the creation of value and trust. Nisha Paliwal is a senior technology executive. She is known for her expertise in various technology services, focusing on the importance of bringing AI technology, computing resources, data, and talent together in a synchronous and organic way. Wilhelm Bielert is a seasoned senior executive with an extensive of experience in digital transformation, program and project management, and corporate restructuring. With a proven track record, he has successfully led transformative initiatives in multinational corporations, specialising in harnessing the power of AI and other cutting-edge technologies to drive substantial value creation.
