On June 14-15, 2018 by the Louvre museum was taking place one of the best AI event of the month: transform.ai which aimed at gathering C-levels to exchange about real life and practical examples of AI implementation.
What a great time meeting young amazing girls (14-18 years old) and sharing with them my story.
Great questions included:
About woman in AI :
We are a group of passionate international women who are experts and self-trained in the field of Artificial Intelligence. We felt the lack of diversity of women in this field and we want to change it.
Facebook, Google, and twitter lawyers gave testimony to congress on how they missed the Russian influence campaign. Even though the ads were bought in Russian currency on platforms chalk full of analytics engines, the problematic nature of the influence campaign went undetected. “Rubles + US politics” did not trigger an alert, because the nature of off-the-shelf deep learning is that it only looks for what it knows to look for, and on a deeper level, it is learning from really messy (unstructured) or corrupted and biased data. Understanding the unstructured nature of public data (mixed with private data) is improving by leaps and bounds every day. That’s one of the main things I work on. Let’s focus instead on the data quality problem.
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Lesson 1: Waiting is the worse strategy. If you are still in a moving environnement, you are actually moving back.
Lesson 2: AI has disrupted online shopping with huge savings and increase in sales and tigher delivery. There is no doubt, AI will transform the world we know.
Lesson 3: Ask yourself the right questions, capture the data that will enable you to answer to it. As even the most powerful algorithms are not able to explained what has never been written.
Changes are not about tools but awareness of past failures. Aviation is a true example of how fast you can change an industry just by making pilots aware of their responsability to alerts where an incident, near missed happened.
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