TED Theater, Soho, New York

Tuesday, September 24, 2019
New York, NY

The Event

As part of Global Goals Week, the Skoll Foundation and the United Nations Foundation are pleased to present We the Future: Accelerating Sustainable Development Solutions on September 21, 2017 at TED Theater in New York.
The Sustainable Development Goals, created in partnership with individuals around the world and adopted by world leaders at the United Nations, present a bold vision for the future: a world without poverty or hunger, in which all people have access to healthcare, education and economic opportunity, and where thriving ecosystems are protected. The 17 goals are integrated and interdependent, spanning economic, social, and environmental imperatives.
Incremental change will not manifest this new world by 2030. Such a shift requires deep, systemic change. As global leaders gather for the 72nd Session of the UN General Assembly in September, this is the moment to come together to share models that are transforming the way we approach the goals and equipping local and global leaders across sectors to accelerate achievement of the SDGs.




Together with innovators from around the globe, we will showcase and discuss bold models of systemic change that have been proven and applied on a local, regional, and global scale. A curated audience of social entrepreneurs, corporate pioneers, government innovators, artistic geniuses, and others will explore how we can learn from, strengthen, and scale the approaches that are working to create a world of sustainable peace and prosperity.


Meet the

Speakers

Click on photo to read each speaker bio.

Amina

Mohammed

Deputy Secretary-General of the United Nations



Astro

Teller

Captain of Moonshots, X





Catherine

Cheney

West Coast Correspondent, Devex



Chris

Anderson

Head Curator, TED



Debbie

Aung Din

Co-founder of Proximity Designs



Dolores

Dickson

Regional Executive Director, Camfed West Africa





Emmanuel

Jal

Musician, Actor, Author, Campaigner



Ernesto

Zedillo

Member of The Elders, Former President of Mexico



Georgie

Benardete

Co-Founder and CEO, Align17



Gillian

Caldwell

CEO, Global Witness





Governor Jerry

Brown

State of California



Her Majesty Queen Rania

Al Abdullah

Jordan



Jake

Wood

Co-founder and CEO, Team Rubicon



Jessica

Mack

Senior Director for Advocacy and Communications, Global Health Corps





Josh

Nesbit

CEO, Medic Mobile



Julie

Hanna

Executive Chair of the Board, Kiva



Kate Lloyd

Morgan

Producer, Shamba Chef; Co-Founder, Mediae



Kathy

Calvin

President & CEO, UN Foundation





Mary

Robinson

Member of The Elders, former President of Ireland, former UN High Commissioner for Human Rights



Maya

Chorengel

Senior Partner, Impact, The Rise Fund



Dr. Mehmood

Khan

Vice Chairman and Chief Scientific Officer, PepsiCo



Michael

Green

CEO, Social Progress Imperative







http://wtfuture.org/wp-content/uploads/2015/12/WTFuture-M.-Yunus.png

Professor Muhammad

Yunus

Nobel Prize Laureate; Co-Founder, YSB Global Initiatives



Dr. Orode

Doherty

Country Director, Africare Nigeria



Radha

Muthiah

CEO, Global Alliance for Clean Cookstoves





Rocky

Dawuni

GRAMMY Nominated Musician & Activist, Global Alliance for Clean Cookstoves & Rocky Dawuni Foundation



Safeena

Husain

Founder & Executive Director, Educate Girls



Sally

Osberg

President and CEO, Skoll Foundation



Shamil

Idriss

President and CEO, Search for Common Ground



Main venue

TED Theater

Soho, New York

Address

330 Hudson Street, New York, NY 10013


Email

wtfuture@skoll.org

Due to limited space, this event is by invitation only.

Save the Date

Join us on Facebook to watch our event live!

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December 1, 2020 by 0

Data scientists require knowledge of mathematics, statistics, and a fair understanding of programming languages, databases, and building data models. This paper provides a tangible evidence of the systems thinking contribution in analysing, understanding and managing dimensions and paths of social dynamics. Join ResearchGate to find the people and research you need to help your work. This paper aims to explore big data ecosystem with attention to its architecture, key role players, and involving factors. Best material so far, I found, for someone who is looking to pursue/transition a career in Data-Driven roles. You will begin to explore the fundamentals of gathering data, and learning how to identify your data sources. resources needed for the other ecosystem members to survive. The rise of unstructured data in particular meant that data capture had to move beyond merely ro… Whereas Big Data has only prepared us for a world where large volumes of data will be in few sources, it appears that the future will instead consist of a very large number of personal data sources. Big Data Ecosystem 1. Nevertheless, their strategies differ considerably. data and algorithm design. However, the volume, velocity and varietyof data mean that relational databases often cannot deliver the performance and latency required to handle large, complex data. Thus, there is a need to understand the new business patterns and map the information requirements within business ecosystems. Possibilities and benefits exist on advanced designing and marketing solutions. and thrive (Evans, 2014). Business ecosystems; Big Data; information providers; system dynamics, Nachira, Dini, & Nicolai, 2013). Interestingly, it's not uncommon for data professionals to start their career in one of the data roles and transition to another role within the data ecosystem by supplementing their skills. 1. toward them, they are positioned in their vicinity. Managers have to pay more attention to external cooperation from an ecological view. From the perspective of network science, this paper tries to connect complex network theories with e-business ecosystem research. To get value from data, you need a vast number of skill sets and people playing different roles. has been put into supporting new ways of collaborations, predictions, and advanc. instance, social media-based profiling in the employment-recruiting process). For a given percentage uptime, mitigation rather than contingent rerouting tends to be optimal if disruptions are rare. You will be able to summarize the data ecosystem, such as databases and data warehouses. Throughout this course you will learn the key aspects to data analysis. From 2003 to 2005 he. Realizing the full value of these machineries, and other business assets, has become increasingly important. cooperation among players, eliminate threats, and achieve a win. This has changed the context for many industries, and challenged leaders to adopt to big data ecosystem. Second the paper addresses the obvious challenges of 4D product models. In the provided research, some of the Big Data most prospective usage domains connect with distinguished player groups found in the business ecosystem. The latest industrial revolution is manifested by smart and networking equipment. power failures, and reliability of operation approaching hard-wire systems. Infrastructural technologies are the core of the Big Data ecosystem. It was recommended that following transceiver improvements, operational evaluation in-service type tests be performed on the system in an operating airport environment. products and services offered by the information providers. All rights reserved. Facebook Corona - Hadoop enhancement which removes single point of failure. Analysts are the people who answer questions such as, Are the users search experiences generally good or bad with the search functionality on our site? The key drivers are system integration, data, prediction, sustainability, resource sharing and hardware. Access scientific knowledge from anywhere. In short, a data analyst translates data and numbers into plain language, so organizations can make decisions, data analysts inspect and clean data for deriving insights, identify correlations, find patterns, and apply statistical methods to. This course does not require any prior data analysis, spreadsheet, or computer science experience. The lower level is based on the organism topology, the higher one is based on the external three dimensional space. Today, organizations that are using data to uncover opportunities and are applying that knowledge to differentiate themselves are the ones leading into the future. future interactions. Four empirical indicators of the potential of firm resources to generate sustained competitive advantage-value, rareness, imitability, and substitutability are discussed. Relationships and qualities. Community Activity Prediction Based on Big Data Analysis. Introduction . Data ecosystems provide companies with data that they rely on to understand their customers and to make better pricing, operations, and marketing decisions. It is considered that now it is an appro- priate time to look at the development strategies and achievements so far, and, based on lessons learned show the way forward. This paper draws commonalities from various approaches and reviews 4D applications from the viewpoint of, Introduces a high level model of visual perception, based on a multidisciplinary approach. Extending the business environment by adding a neutral information provider and a regulator could be a way to overcome these barriers. Design/methodology/approach The personal data vault ecosystem is a new one, and important technical challenges lie ahead of us, some of which I’m actively working on. ecosystem major player types disrupted b y Big Data: individuals, small and mi d-sized enterprises , large organizations, information providers, and regulators. (somewhat) transparent view and still display, This paper delivers important insights for multiple. An advanced interactive map will be soon available on the For decades, enterprises relied on relational databases– typical collections of rows and tables- for processing structured data. System theory was used to identify business ecosystem major player types disrupted by Big Data: individuals, small and mid-sized enterprises, large organizations, information providers, and regulators. Abstract This deliverable identifies major users of Big Data in different sectors, notably Agrifood and Transport and Logistics. There exists no directly observable visual cue capable of supporting, In the last decade, grantor trusts have become a cornerstone of many sophisticated estate plans. Big Data and Internet of Things will increase the amount of data on asset management exceedingly. We firstly analyse network structure of e-business ecosystem. A qualitative and interpretative approach is adopted to reflect upon the role of technologies in everyday life. A new versatile research report on Global Big Data Software market is aimed at promising a unique approach towards unravelling current and past market developments that collectively influence future growth predictions and market forecasts that allow market players in delivering growth specific business decisions. The evolution of tracking from a glorified pedometer to tools that can predict an opponent’s next move has created a data ecosystem worthy of the beautiful game. The article concludes by examining implications of this firm resource model of sustained competitive advantage for other business disciplines. They also share threats (losing trust, fraud, and default risks). DOCUMENT DESCRIPTION. You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data driven decision maker. Analyze and mined data and visualize data to interpret and present the findings of data analysis. They also need to have domain knowledge. PREDATORS AND PREY -, Oyebisi, Timothy O., Momodu, Abiodun S., &, http://www.forbes.com/sites/gilpress/2013/0. The promising business prospects have resulted in numerous more and less intuitive attempts to develop such products. Then we also have business analysts and BI analysts. In this paper, the current barriers and benefits of data sharing are identified based on the results of an interview study. Data Sources/Ingestion. In this module, you will learn about the different types of data analysis and the key steps in a data analysis process. By the end of this course you will be able to visualize the daily life of a Data Analyst, understand the different career paths that are available for data analytics, and identify the many resources available for mastering this profession. Several companies together with researchers have seen 4D applications as potential products for lucrative business. Results show that during the 5,000 hours of testing the system worked well, except for high and low operating temperature problems caused by the use of unreliable commercial components in the transceiver. You will then learn how to clean, analyze, and share your data with the use of visualizations and dashboard tools. 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