One of the biggest challenges in implementing AI solutions is ensuring that there is enough high-quality data available to train the algorithms. Without sufficient data, the AI system may not be able to make accurate predictions or decisions. Organizations must invest in data collection, cleaning, and management to ensure the success of their AI initiatives.
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In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on “Artificial Intelligence and Machine Learning for Healthcare”. The first volume is…
The clearest, simplest guide to artificial intelligence (AI) ever published Understanding artificial intelligence has never been easier. Combining bold graphics with easy-to-understand text, Simply AI is the perfect introduction to artificial intelligence for those who are short of time but hungry for knowledge. Covering the history of AI, its key ideas and applications, and the
A Wall Street Journal bestseller A Publisher’s Weekly bestseller A fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage, from the author of the business classic, Competing on Analytics, and the head of Deloitte’s US AI practice. Though most organizations are placing modest bets on artificial intelligence, there is a…
Artificial intelligence (AI) has driven businesses to adopt new business practices rapidly, enhance product development and services, has helped to power AI-based market intelligence and customer insights, and improve customer relationship management. This timely book addresses the use of AI in marketing. This book also explores the dark side of AI in marketing management and…
This open access book invites readers to learn how to develop artificial intelligence (AI)-based algorithms to perform their research in oceanography. Various examples are exhibited to guide details of how to feed the big ocean data into the AI models to analyze and achieve optimized results. The number of scholars engaged in AI oceanography research
As artificial intelligence continues to advance, businesses must adapt to stay ahead of the game. From healthcare to finance, adopting AI can streamline processes, improve efficiency, and provide better results. However, this requires a willingness to embrace change and a strategic approach to implementation. The potential benefits are vast, but it’s up to each company to navigate the frontier of AI.
In recent years, artificial intelligence (AI) has drawn significant attention with respect to its applications in several scientific fields, varying from big data handling to medical diagnosis. A tremendous transformation has taken place with the emerging application of AI. AI can provide a wide range of solutions to address many challenges in civil engineering. Artificial
Creating an effective roadmap for AI business implementation.
A comprehensive learning resource for undergraduate and graduate students, with new chapters on deep learning, causality, and social impact.
