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Organizing-for-the-future-Nine-keys-to-becoming-a-future-ready-company-v3.pdf?shouldIndex=f

Organization Practice Organizing for the future: Nine keys to becoming a future-ready company To better organize for a postpandemic future, leaders should embrace nine imperatives that collectively explain who we are as an organization, how we operate, and how we grow. by Aaron De Smet, Chris Gagnon, and Elizabeth Mygatt January 2021 V_alex/Getty Images The prospect of successful vaccines for COVID-19 has given business leaders everywhere hope that the pandemic may be finally nearing a turning p McKinsey , employees at us companies , companies see that talent , companies such as netflix , companies have a strategy , purpose into their decision , company into the future , decisions that all future-ready , future of the company , future for most organizations , companies in the top , organizations kno 31-Jan-2021 auto-generated
WEF_A_Blueprint_for_Digital_Identity

A Blueprint for Digital Identity The Role of Financial Institutions in Building Digital Identity An Industry Project of the Financial Services Community | Prepared in collaboration with Deloitte Part of the Future of Financial Services Series August 2016 Foreword Consistent with the World Economic Forum s mission of applying a multi stakeholder approach to address issues of global impact, the creation of this report involved extensive outreach and dialogue with the financial services community, WEF , provider for the user , access to the data , system is to provide , information from the gleif , information in a centralized , problem how should digital , information from the idp , entities should have access , solution to the global , concierge is a digital , authentication as a solution , pro 2-Feb-2021 auto-generated
WEF_Global_Technology_Governance_2020

In Collaboration with Deloitte Global Technology Governance Report 2021: Harnessing Fourth Industrial Revolution Technologies in a COVID-19 World I N S I G H T R E P O R T D E C E M B E R 2 0 2 0 Contents Foreword Executive Summary Introduction 1 Cross-cutting technology governance gaps 1.1 Limited or lack of regulation 1.2 Adverse effects of technology through misuse or unintended use 1.3 Liability and accountability of the technology 1.4 Privacy and data sharing 1.5 Cyber and other security co WEF , icao also provides guidance , countries and their financial , frameworks new and emerging , cryptocurrency around the world , drone use during social , services in other countries , regulation for the age , technologies during the pandemic , drones and the internet , initiative at the government , 2-Feb-2021 auto-generated
WEF_Operating_Models_for_the_Future_of_Consumption

Insight Report Operating Models for the Future of Consumption A Report by the World Economic Forum s System Initiative on Shaping the Future of Consumption prepared in collaboration with Accenture January 2018 Contents 3. Preface 4. Executive Summary 6. Why Do Organizations Need to Change? 8. What Will Operating Models Look Like in the Future? 19. How Can Society Achieve a Brighter Future? 24. Conclusion 25. Appendices 27. Research & Acknowledgements 29. Endnotes World Economic Forum 2018 All ri WEF , development of new workforce , intelligence is the future , executives believe that company , impact to the business , networks across new business , industries in the united , roles in the future , employee rather than company , benefits for both business , skills as the market , achieve a better 2-Feb-2021 auto-generated
wilson-facct21

Building and Auditing Fair Algorithms: A Case Study in Candidate Screening Christo Wilson Northeastern University cbw@ccs.neu.edu Alan Mislove Northeastern University amislove@ccs.neu.edu Avijit Ghosh Northeastern University avijit@ccs.neu.edu Lewis Baker pymetrics, inc. lewis@pymetrics.com Shan Jiang Northeastern University sjiang@ccs.neu.edu Janelle Szary pymetrics, inc. janelle@pymetrics.com Kelly Trindel pymetrics, inc. kelly@pymetrics.com Frida Polli pymetrics, inc. frida.polli@pymetrics.co Brookings , code for their candidate , groups being the eeoc , discrimination that may impact , group had corresponding demographic , candidates to their clients , process and no model , data from these games , data from four clients , model for given client , pymetrics than to clients , impact on the fairnes 27-Oct-2021 auto-generated