A Data-Driven Company
LID Publishing (Verlag)
978-1-912555-88-8 (ISBN)
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Are you planning to start working with big data, analytics or AI, but don't know where to start or what to expect? Have you started your data journey and are wondering how to get to the next level? Want to know how to fund your data journey, how to organize your data team, how to measure the results, how to scale? Don't worry, you are not alone. Many organizations are struggling with the same questions.
This book discusses 21 key decisions that any organization faces when travelling its journey towards becoming a data-driven and AI company. It is surprising how much the challenges are similar across different sectors. This is a book for business leaders who must learn to adapt to the world of data and AI and reap its benefits. It is about how to progress on the digital transformation journey of which data is a key ingredient.
Richard Benjamins is Chief AI & Data Strategist at Telefónica. He was named one of the 100 most influential people in data-driven business (DataIQ 100, 2018). He is also co-founder and Vice President of the Spanish Observatory for Ethical and Social Impacts of AI (OdiseIA). He was Group Chief Data Officer at AXA, and before that spent a decade in big data and analytics executive positions at Telefónica. He is an expert to the European Parliament’s AI Observatory (EPAIO), a frequent speaker at AI events, and strategic advisor to several start-ups. He also was a member of the European Commission’s B2G data-sharing Expert Group and founder of Telefonica’s Big Data for Social Good department. He holds a PhD in Cognitive Science, published over 100 scientific articles, and is author of the books The Myth of the Algorithm: Tales and Truths of Artificial Intelligence (Spanish) and A Data-Driven Company.
| Erscheinungsdatum | 05.07.2021 |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 138 x 216 mm |
| Themenwelt | Informatik ► Software Entwicklung ► Agile Software Entwicklung |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| ISBN-10 | 1-912555-88-3 / 1912555883 |
| ISBN-13 | 978-1-912555-88-8 / 9781912555888 |
| Zustand | Neuware |
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