Artificial Intelligence

Explains the future of AI and other technologies for business leaders.

This book offers an overview of AI in business applications, and how it is transforming different sectors.

Overviews how artificial intelligence (AI) applications are transforming global businesses and financial organizations, looking at the newest artificial intelligence-based solutions for e-commerce, corporate management, finance, banking, and trading, and more. Explores AI and ML techniques to forecast and assess different financial risks.

This book focuses on artificial intelligence (AI) tools, AI-based startups, AI-enabled innovations, Autonomous AI Agents (Auto-GPT), AI-based marketing startups, machine learning for organizations, AI-internet of things (IoT) for new tech companies, AI-enabled drones for agriculture industry, machine learning (ML)/deep learning (DL)-based drip farming, AI-based driverless cars, AI-based weather prediction startups, AI tools for personal branding, AI-based teaching, AI-based doctor/hospital startups, AI for game companies, AI-based finance tools, AI for human resource management, AI-powered management tools, AI tools for future pandemics, AI/ML-based transportation companies, AI for media, AI for carrier counseling, AI for customer care, AI for next generation businesses, and many more applications.

Explores how to use large language models (LLMs) like ChatGPT to find new investment opportunities and make better trading decisions.

This book introduces foundational principles of Generative Artificial Intelligence (GAI) and then moves on to explore its practical applications in audits, tax planning, practice management, fraud examination, financial analysis, and beyond.

This book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers' training, supply chain management, as well as various production optimization scenarios.

This book will show how generative technology works and the drivers. It will also look at the applications – showing what various startups and large companies are doing in the space. There will also be a look at the challenges and risk factors

We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. AI-Enabled Analytics in Business is your Roadmap to meet this essential business capability.

Discusses the impact of AI on organizational transformation which is a mix of computational techniques and management practices, with in-depth analysis about the role of automation & data management, and strategic management in relation to human capital, procurement & production, finance, and marketing. The impact of AI in restructuring organizational processes is a combination of management practices and computational technology.

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI? From the Harvard Business Review's "The Insights You Need" series.

Explores how a wide range of consumer product categories worldwide are applying neuroscience powered GenAI to foster innovation, promote sales and build brands. Provides strategies for building capability in neuroAI within the enterprise.

Looks at practical applications of current modelling techniques for risk management as well as new opportunities and challenges associated with implementing machine learning and AI into the risk management process. Will be of interest to business professionals working in risk management.