In this episode of Ag Tech Talk, we’ll be chatting with 诺曼艾哈迈德博士Kynetec 执行董事，介绍了预测技术在推进作物保护策略方面的令人兴奋的前景。
播客成绩单：
* 这是该播客的编辑和部分记录。
ABG：什么是预测智能？
诺曼·艾哈迈德： 预测智能（PI）本质上是收集和积累知识。这就是我们如何以有意义的方式连接数据和信息，然后智能地为您提供答案。
Now, when that intelligence part basically becomes forward looking, and we’re trying to apply our learnings to future questions and problems that we’re solving for a future issue. This is when we talk about predictive intelligence. The easiest way of explaining it is basically looking through a crystal ball of information. PI is a systematic, robust, standardized, scalable way of looking through that crystal ball and giving you an answer.
ABG：PI 如何帮助预测作物保护的供应和需求？
不适用： Predictive intelligence basically looks throughout the information that we have, which might be structured or unstructured, and then allows us to isolate everything together in one single box to test it out. For example, we can talk about how the weather, demand, and other what other pieces are going to influence supply. We’re able to single these elements out and then give a prediction of how demand and supply are going to behave.
It’s multiple reasons driving what will influence demand and supply. You can get to the point where you can actually combine this information in the same model. The same approach is basically where the predictive intelligence comes in, where you are saying nothing to be seen in isolation, but in combination. And it’s about causality, not about correlation.
它显示了市场最终将如何表现。而这正是预测智能的目的，将这些来源结合起来，然后基本上得出答案。这就是我们预测需求和供给变化的方式。我们可以分析某种心态或意识形态会导致什么类型的政策？那么，这将如何从根本上影响贸易体制和国际关系？这将如何影响作物生长？最终，这将如何影响主要是农作物化学品和种子的投入行业。