Richard Benjamins – författare

The launch of generative AI, exemplified by ChatGPT, has fundamentally transformed the business landscape, moving AI from the boardroom to every corner of the organization. This book acknowledges the democratization of AI while asserting that the core challenge of digital transformation remains the same: how to move beyond the hype and create scalable, tangible economic value. Drawing on over 15 years of practical experience, the book serves as an essential guide for leaders who understand that harnessing AI is not just a technology problem, but an organizational one.The book is structured to directly address the critical, high-stakes decisions every organization faces on the journey to integrating AI. It includes a section dedicated entirely to generative AI, contrasting its capabilities with classical machine learning and explaining how organizations can start creating value even without prior data. The book is organized into four other crucial sections: Organization, Business and Finance, Technology, and Responsible AI. Whether you are a new Chief Data Officer establishing your mandate, a CEO seeking clarity on the required investments and expected returns, a CFO looking to fund the data journey, or an AI professional aiming for a leadership role, this book provides the practical, lessons-learned approach you need.

This book constitutes the refereed joint proceedings of seven international workshops held in conjunction with the 25th International Conference on Conceptual Modeling, ER 2006, in Tucson, AZ, USA in November 2006. The 39 revised full papers presented together with the outlines of three tutorials were carefully reviewed and selected from 95 submissions.

This volume constitutes the refereed proceedings of the 10th European Workshop on Knowledge Acquisition, Modelling and Management, EKAW '97, held in Sant Feliu de Guixols, Catalonia, Spain, in October 1997.The 20 revised full papers and 11 short papers presented were carefully selected from numerous submissions. Also included is one invited presentation. Among the topics covered are the mainstream knowledge acquisition issues, but also more innovative ones, knowledge integration, enterprise modelling, knowledge reuse, natural language processing, problem solving, knowledge extraction, Web-based knowledge systems, machine learning, data mining, etc.

Nos espian los sistemas de Inteligencia Artificial? Deberemos aprender a convivir con ellos? hay alguna alternativa o... sera mejor rendirnos a la evidencia, como Humanidad? Y, lo mas importante: Cuales son las claves para una convivencia IA-HUMANO armonica y provechosa para este ultimo? A cada paso que damos generamos datos. Las maquinas nos escuchan y traducen a su lenguaje nuestra rutina diaria. Nuestra vida profesional y personal esta destinada al acompanamiento de estos seres inertes insuperables en eficiencia y gestion de ese Big Data que crece, cada segundo que pasa, a un ritmo exponencial. De manera casi imperceptible para muchos, los sistemas de Inteligencia Artificial empiezan a ser parte de nuestro dia a dia. Nos recomiendan canciones, peliculas, ropa e incluso a nuestra pareja ideal. Y nosotros les hacemos caso? seguimos sus decisiones? Muchas veces si, incluso de manera inconsciente. Es hora de adquirir esa consciencia! Si no lo haces, manana sera tarde. Te enfrentas a un mundo predecible, completamente personalizado, que parece escaparse de la gestion directa del ser humano. Es esto cierto? Como puedes afrontarlo?Idoia Salazar y Richard Benjamins te invitan a acompanarles en este viaje a traves de los siete dias de la semana de una rutina que pronto sera la tuya. En tus manos esta prepararte para desafiarlo con todos los conocimientos necesarios para salir airoso de este gran reto que afrontara la humanidad en los proximos anos, y que ya estamos comenzando a vivir. Esta GuIA de convivencia entre seres humanos y artificiales cuenta, ademas, con opiniones expertas de grandes referentes internacionales en Inteligencia Artificial. El futuro comienza hoy... y no es solo humano.