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

“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.

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]

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.

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.

Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence--AI--is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave--rather than be crushed by it--need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.

Enterprise Artificial Intelligence Transformation AI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the world, plain and simple. That's why AI mastery is such a sought-after skill for tech professionals. Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He shares that expertise in the new book, Enterprise Artificial Intelligence Transformation. The first of its kind, this book grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. As AI continues to grow into a necessary feature for many businesses, more and more leaders are interested in harnessing the technology within their own organizations. In this new book, leaders will learn to master AI fundamentals, grow their career opportunities, and gain confidence in machine learning. Enterprise Artificial Intelligence Transformation covers a wide range of topics, including: Real-world AI use cases and examples Machine learning, deep learning, and slimantic modeling Risk management of AI models AI strategies for development and expansion AI Center of Excellence creating and management If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in Enterprise Artificial Intelligence Transformation.