Tuesday, May 16 • 09:00 - 09:40
Panel: Hype and Reality: Big Data

Log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.

What is Big Data? The term is now ubiquitous and all the hype will have us believe that it’s a magic wand that can solve all problems. However, how much of this is hype and how much is reality?

To debate this question and develop meaningful insights, we must understand the concept of “Big Data” - data sets that are so large or complex that only recent innovations in data processing applications have provided us the capability to manage and process them – data sets whose volumes are measured in petabytes (1015bytes) of data. We also need to understand the three primary sources of such data:

  • Social Data: Data that provides remarkable insights on consumer behavior and sentiment, for example Tweets (500 million are posted on Twitter every day), Facebook likes (a half million are posted every minute), and YouTube videos - 300 hours of video are uploaded every minute;
  • Machine Data: Large volumes of spatially tagged data generated from the Internet of Things, for example information generated from industrial equipment, field sensors, web logs, genomics data from biological organisms, and imagery from phones, drones and satellites;
  • Transactional Data: Multitudes of data generated from billions of digital transactions.

Finally, we must be able to answer the questions of how developing economies can leverage Big Data to support sustainable and equitable development, bring together public and private sectors efforts and create the appropriate policy environment in service of achieving the SDGs.  The panelists will explore these questions.  They will look at case studies that illustrate the ways in which Big Data contributes to their industries and their relation to specific SDGs to assess how much is hype versus reality including:

  • DuPont’s use of data from the Global Food Security Index to assess progress in eliminating hunger (SDG2),
  • Dalberg’s use of Big Data to improve program targeting, surface challenges and assess their impacts,
  • Mahyco’s use of Big Data to improve crops, implement precision agriculture and adapt to climate change.

avatar for Dr. David Bergvinson

Dr. David Bergvinson

Director General, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)
David joined ICRISAT in January 2015 to lead its strategy development to ensure science, demand-driven innovation and strategic partnerships come together to translate science into prosperity for rural families in the dryland tropics of Asia and sub-Saharan Africa. Prior to joining... Read More →

avatar for Dr. Ranjan Patnaik

Dr. Ranjan Patnaik

Director, DuPont Knowledge Center, Technology Director SA & ASEAN, DuPont
Dr Ranjan Patnaik is the Director of DuPont Knowledge Center (DKC) at Hyderabad, India. DKC is an integrated R&D facility with about 300 scientists & engineers supporting a pipeline that spans across diverse segments ranging from agriculture, materials science, to industrial biotechnology... Read More →
avatar for Frederic Pivetta

Frederic Pivetta

Managing Partner, Dalberg Data Insights
Frederic Pivetta is Managing Partner of Dalberg Data Insights, which is the Big Data entity of the Dalberg Group. Previously, he was part of the founding team of Real Impact Analytics since 2011, aiming at developing Big Data apps for telecom operators mostly in emerging economies... Read More →
avatar for Dr. Usha Zehr

Dr. Usha Zehr

Chief Technology Officer, Maharashtra Hybrid Seeds Company Private Limited (Mahyco)
Dr. Usha Zehr is the Chief Technology Officer at the Maharashtra Hybrid Seeds Company (Mahyco), one of the leading agri-biotech companies in India. She has played a pivotal role in various innovations and technology applications in agriculture, especially hybrid seeds and biotech... Read More →

Tuesday May 16, 2017 09:00 - 09:40 IST
Hall 3