Data Speaks - Data Stories that Matter
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Data Speaks - Data Stories that Matter

About the Book

Big Data, and increasingly Artificial Intelligence, are hot topics in business and society, and many people and organizations have an interest to master those topics better to understand how to apply it to their business or activities. This books gives many examples of how big data is used in different use cases and applications across a variety of sectors. In this book we let data “speak” to tell stories. Stories that matter for business, for people and for society.

The book also explains some fundamental concepts of Artificial Intelligence (AI); we feel there is a need to equip readers with knowledge to sift through the many popular articles appearing on the impact of AI, and to let them form their own opinion.

Much of the content of this book has been published on the Internet in our Data-Speaks blog of LUCA (data-speaks.luca- Writing quality content is time consuming process, and we believe there is an added value in packaging up this content in a thematic and coherent way. While this book is printed, and gives a snapshot of six months of blog writing, the blog continues to grow with 1 post per workday.

This book is a joint effort of the LUCA team. LUCA is the Big Data business unit of Telefónica. The mission of LUCA is to accompany organizations –enterprises, public administrations- on their transformational journey to become a data-driven organization. LUCA stands for the Last Universal Common Ancestor, which is the last organism which all life on Earth has in common. After LUCA the organisms start to diverge. In the same way, we believe that in the digital world, data is something that all organizations will have in common for the times to come, hence LUCA. 

About the Author

Richard Benjamins
Richard Benjamins

Dr. Richard Benjamins is Data & AI Ambassador at Telefonica, LUCA. He is among the 100 most influential people in data-driven business (DataIQ 100). He was Group Chief Data Officer at AXA (Insurance) and worked for 10 years at Telefonica occupying several management positions related to Big Data and Analytics, touching all areas of the value chain. His passion lies with creating value from data. Business value, but also value for the society: he is the founder of Telefonica’s Big Data for Social Good department. He currently works on how to make Data & AI sustainable from a business, societal and ethical perspective. He is a frequent speaker on Data and Artificial Intelligence events. He is also a strategic advisor to BigML – making Machine Learning easy. He was co-founder and director at iSOCO (1999-2007) and has held positions at the universities/research institutes in Madrid, Amsterdam, Sao Paulo, Paris, and Barcelona. He holds a PhD in Cognitive Science / Artificial Intelligence from the University of Amsterdam.

Table of Contents

  • Part I – Business. This part describes examples of how Big Data can be applied to create value for businesses in different sectors.
  • Part II - Big Data for Social Good. Apart from creating value for businesses, Big Data can also be used to improve the world by helping achieve the UN’s Sustainable Development Goals.
  • Part III - Artificial Intelligence. While AI exists for more than 50 years, currently (2017) it is a hype. It is not always easy to understand the claims made about the impact of AI. In this part we explain the fundamental concepts underlying Artificial Intelligence, so readers can develop their own criterion to shift through the large amount of publications that are appearing today. 

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