CII’s annual knowledge summit was held entirely online this year, and was titled CII Global Knowledge Virtual Summit 2020: Knowledge in the Age of Artificial Intelligence. It was also supported by the Knowledge Management Global Network (KMGN).

YourStory was the media partner for the flagship summits in 2019 and 2020. See our 15-part article series, which includes Knowledge Leadership, KM in the Age of AI, Gamification, Storytelling, Knowledge Sharing in the COVID-19 Era, and Eye on AI.

YourStory also moderated the panel on Knowledge Excellence: Winners of the Global MIKE Awards. (See my book series The KM Chronicles for case studies of earlier winners of the MAKE Awards and Singapore KM Excellence Awards.)

Vineet Jain is the Knowledge Leader for EY Global Delivery Services India Private Limited. He leads the knowledge function for EY Global Delivery Services organisation. Knowledge teams are located in centers based in Argentina, India, and Poland. The organisation includes research and analysis, knowledge management (KM), community and social enterprise, process modeling, and benchmarking function.

Vineet has more than 27 years of experience in consulting, investment banking,…

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https://2020.riskawarenessweek.com/talks/agricultural-risk-analysis-art-and-science/

In Argentina we have been applying risk assessment and management concepts in farming for more than twenty years. Price and yield risk can be managed through diversification. Agricultural portfolios can be created by mixing different crops and/or different climate zones, soils and cultivation practices. We also apply risk management to reduce price risk through sale strategies (options, futures) and yield risk through insurance.

A special piece in risk assessment is the recently developed “Yield distribution library” with robust distributions for 600 different production combinations of crop/soil/cultivation practices. Reaching consensus on yield distributions has always been difficult because a constantly changing technology reduces the value of long-term time series. This library aims to make it easier to agree on a yield distribution. Its robustness comes from the fact that three information sources were used and combined: deterministic simulation models, expert opinion and thousands of real data to validate both.

Risk is crucial to good decision making in agriculture and I will be glad to share our experience in this field, answering questions like:

• What applications have we found for risk assessment in agriculture?
• How do we assess risk with farmers and technicians who are not always familiar with probability functions and statistics?
• What distributions do we usually use to model stochastic variables in agriculture?

https://2020.riskawarenessweek.com/talks/agricultural-risk-analysis-art-and-science/

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