The book addresses the main challenges currently faced by organizations and how an integrated Hybrid Generative AI approach can empower them across 10 functional areas, providing a sustainable competitive advantage: People Management and Upskilling; Finance; Procurement & Asset Management; Business Processes & Documents; Logistics & Distribution; Operations: Core Production or Services; Sales & Customer or Citizen Relationship; Strategy, Quality & Innovation; Audits, Compliance & Risk Management; and Research, IT Development, and IT Management. Published by Quidgest – a pioneering Portuguese technology company in automatic software modeling and generation through its Generative AI platform Genio, each chapter features contributions from a Quidgest expert, making this book a source of hashtag knowledge, experience, and best practices accumulated over many years

Organizations often declare that their biggest asset is their people. As such, business leaders make constant efforts to hire the best talent – and to get the best out of their workers. But a confluence of forces is reshaping all aspects of talent management. A war for talent rages and will be exacerbated in the long-term by demographic aging; the half-life of skills is decreasing as AI powers more parts of business workflows; flexible and hybrid work models are becoming commonplace; and management methods focused on measurement and efficiency are not sufficient for engaging a purpose-seeking generation. In these turbulent times, CEOs and their entire teams – not just HR – need to rethink how they can create a people advantage, going beyond traditional approaches to organization, performance management, and compensation. This book – a collection of recent essays written by researchers at the BCG Henderson Institute, Boston Consulting Group’s think tank – aims to help leaders to reinvent work by providing a forward-looking perspective on all aspects of talent management. Across five chapters, the book discusses How to attract the talent of the future How to shape the workforce in an evolving context How to embrace new models of work How to build the workplace of the future How to establish new models of leadership and culture By providing a combination of new ideas, real-world examples, and concrete recommendations, Reinventing Work serves as a guide for leaders to effectively navigate the changing nature of work.

“This book is Moneyball for management. It will help you understand your subconscious biases that can lead to bad decisions, and it will teach you the techniques to help you make better decisions.” —Gordon Tredgold, author of Fast “This well-written, go-against-the-grain book is full of practical ways to tap into your very best mental resources to make better and better decisions.” —Brian Tracy, bestselling author of Eat that Frog! Want to avoid business disasters, whether minor mishaps, such as excessive team conflict, or major calamities like those that threaten bankruptcy or doom a promising career? Fortunately, behavioral economics studies show that such disasters stem from poor decisions due to our faulty mental patterns—what scholars call “cognitive biases”—and are preventable. Unfortunately, the typical advice for business leaders to “go with their guts” plays into these cognitive biases and leads to disastrous decisions that devastate the bottom line. By combining practical case studies with cutting-edge research, Never Go With Your Gut will help you make the best decisions and prevent these business disasters. The leading expert on avoiding business disasters, Dr. Gleb Tsipursky, draws on over 20 years of extensive consulting, coaching, and speaking experience to show how pioneering leaders and organizations—many of them his clients—avoid business disasters. Reading this book will enable you to: Discover how pioneering leaders and organizations address cognitive biases to avoid disastrous decisions. Adapt best practices on avoiding business disasters from these leaders and organizations to your own context. Develop processes that empower everyone in your organization to avoid business disasters.

***BUSINESS BOOK AWARDS - FINALIST 2021*** Discover how 25 powerful technology trends are transforming 21st century businesses How will the latest technologies transform your business? Future Tech Trends in Practice will give you the knowledge of today’s most important technology trends, and how to take full advantage of them to grow your business. The book presents25 real-world technology trends along with their potential contributions to organisational success. You’ll learn how to integrate existing advancements and plan for those that are on the way. In this book, best-selling author, strategic business advisor, and respected futurist Bernard Marr explains the role of technology in providing innovative businesses solutions for companies of varying sizes and across different industries. He covers wide-ranging trends and provides an overview of how companies are using these new and emerging technologies in practice. You, too, can prepare your company for the potential and power of trending technology by examining these and other areas of innovation described in Future Tech Trends in Practice: Artificial intelligence, including machine and deep learning The Internet of Things and the rise of smart devices Self-driving cars and autonomous drones 3D printing and additive manufacturing Blockchain technology Genomics and gene editing Augmented, virtual and mixed reality When you understand the technology trends that are driving success, now and into the future, you’ll be better positioned to address and solve problems within your organisation.

Supercharge your organization's capacity for innovation The greatest untapped asset in an enterprise today is the ingenuity of its people. Dive into a future of work where technology empowers everyone to be a creator and builder with All Hands on Tech: The Citizen Revolution in Business Technology. This pivotal book offers a comprehensive look into the role of citizen developers—business domain experts who are driving IT-enabled innovation using technology previously reserved for professional technologists. Through case studies of citizens and citizen-enabled enterprises, the authors demonstrate how emerging technology bestows unprecedented power on these individuals and unprecedented value on the organizations that channel their efforts. They outline a transformative approach to citizen development that not only enhances companies' innovative capacity via the empowerment of domain experts, but also minimizes risk and liberates IT departments to pursue more strategic initiatives. All Hands on Tech describes a revolution in work—powered by technology becoming more human and humans becoming more comfortable with technology. This convergence provides a clear pathway for enterprises to leverage the on-the-ground experience and insight of all employees. The authors provide diverse examples of companies that have aligned the work of their citizen developers with wider organizational goals across citizen data science, automation, and development projects. These examples demonstrate why and how to commit to the citizen revolution in your organization. In the book, you'll: Discover the untapped potential of citizen developers to revolutionize business operations with technology democratization Find a practical framework for integrating citizen development into a broader corporate digital and data strategy, while controlling risk Explore a forward-thinking approach to redefining the roles of all hands in an enterprise, empowering them to turn ideas into applications, automations, and analytical/AI models For business leaders, executives, managers, and IT professionals looking to harness the full potential of their front-line employees and redefine the landscape of IT work, All Hands on Tech is a must-have resource. For business domain specialists and those eager to turn ideas into action, the citizen revolution democratizes information technology and empowers you to lead your organization towards a more innovative and efficient future. For subject matter experts, domain specialists, and those eager to put their ideas to work while also future-proofing their careers with invaluable skills, the citizen revolution ushers in an entirely new way of working.

In these highly competitive times and with so many technological advancements, it is impossible for any industry to remain isolated and untouched by innovations. In this era of digital economy, the banking sector cannot exist and operate without the various digital tools offered by the ever new innovations happening in the field of Artificial Intelligence (AI) and its sub-set technologies. New technologies have enabled incredible progression in the finance industry. Artificial Intelligence (AI) and Machine Learning (ML) have provided the investors and customers with more innovative tools, new types of financial products and a new potential for growth.According to Cathy Bessant (the Chief Operations and Technology Officer, Bank of America), AI is not just a technology discussion. It is also a discussion about data and how it is used and protected. She says, "In a world focused on using AI in new ways, we're focused on using it wisely and responsibly."

Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]

Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI Key Features Gain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud Understand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AI Peek into the future to explore emerging trends like multimodal AI and autonomous agents Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGenerative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms. This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements. By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.What you will learn Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together Understand how we started applying NLP to concepts like transformers Grasp the process of fine-tuning and developing apps based on RAG Explore effective prompt engineering strategies Acquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIs Discover how to scale and secure GenAI systems, while understanding the principles of responsible AI Who this book is for This artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book.

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions

This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.