Celebrating inspiring women

Over the years, while women around the world have struggled for equal rights and an equal voice, some of them have been particularly inspiring, as they took a stand to defend a cause or dared to challenge the status quo. Women like Miriam Rodríguez Martínez, a tireless campaigner who sought to find the truth about Mexico's disappeared, and Mary Kom, a five-times world champion boxer, and mother of two, who had to battle against far more than her opponents in the ring.

The new face of wealth and legacy: Redefining wealth and giving

The Economist Intelligence Unit undertook a study of high-net-worth women and men (individuals with US$1 million or more in assets), sponsored by RBC Wealth Management. The survey covered 1,051 individuals (502 women and 549 men) in Canada, the U.S., the UK and Asia (mainland China, Hong Kong, Singapore).
 

Pioneering Leadership: Change Agent

Watch our video above to learn how CIOs can pioneer leadership at their organisations:
-Ritesh Sarda, CIO Sunlife Financial Hong Kong

Pioneering Leadership: Service

Watch our video above to learn how CIOs can pioneer leadership at their organisations:
-Theresa Payton, former CIO of the White House, current CEO of Fortalice Solutions

Transforming data into action: The business outlook for data governance

This report, developed by The Economist Intelligence Unit and sponsored by Collibra, draws on a survey of more than 500 business executives working in North America and Europe in the financial services, healthcare and life sciences, manufacturing, retail and consumer packaged goods, telecommunications and technology industries.

Additionally, we conducted in-depth interviews with corporate leaders and experts in data governance. We would like to thank the following for their insights and contribution to this research:

Transforming data into action

Making the Most of Machine Learning: How will AI change organisational culture and structure?

Watch our video above to learn how AI will change organisational culture and structure from:

-Stanton Jones, Director and Principle Analyst, ISG
-Suhir Jha, Head of Product Management Strategy, Infosys 
-Cliff Justice, Principle, Innovation & Enterprise Solutions, KPMG

Making the Most of Machine Learning

Research conducted by the Economist Intelligence Unit (EIU) and written in discussion with SAP shows that many organizations are moving ahead now, some aggressively, to integrate ML into their operations. For example, the survey of 360 organizations shows that on average 68% use ML to at least some extent today to enhance their business processes.

Making the Most of Machine Learning

ML is not just a technology; it is core to the business strategies that have led to the surging value of organizations that incorporate it into their operating models—think Amazon, Uber, and Airbnb. Fast Learner organizations get that. 

Fewer Fast Learners than other organizations suffer from a lack of strategic clarity about ML. And fewer are plagued by organizational resistance to change. The reason may be that ML is viewed as more than a tactical tool for simply automating away costs and people. 

Infographic: Pioneering Leadership

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