Rejoignez Marie SACKSICK - Data Scientist en cyber securité et Co-organisatrice à Paris Women in Machine Learning &amp; Data Science.

À l'occasion de la journée internationale des droits des femmes, notre podcast invite une data scientist team lead spécialisée dans la cyber sécurité pour discuter de la place des femmes dans l'intelligence artificielle.

✅ Dans une première partie du podcast, nous découvrirons le parcours inspirant de notre invitée.

✅ Ensuite, nous explorerons ensemble les défis et opportunités pour les femmes dans le domaine de l'IA, ainsi que les implications éthiques de l'utilisation de l'IA dans la société.

🎙️ Joignez-vous à nous pour une conversation inspirante et informative sur un sujet crucial pour l'avenir de la technologie.  

👉 Si comme Marie tu souhaites travailler sur des projets aussi passionnants, rends toi sur www.datarockstars.ai.

🚀 Invitée : Marie SACKSICK,

  Data Scientist Team Lead Chez CybelAngel
  Co-organisatrice WiMlDS (Paris Women in Machine Learning &amp; Data Science) 


Data Stories Inside - Episode #2 : Women in AI

Enroll in the Data Science Course in jaipur with PedestalTechnoworld and get industry-ready with expert training & assured placement support. Join now

visit:https://pedestaltechnoworld.com/category/data-science-course-jaipur

Data Science Course with PedestalTechnoworld Training & Placement

Data, Insight, and Prediction: The Sense-Making Paradox

Welcome to an overview of Sense-Making in AI, exploring the central paradox that defines modern business intelligence: We are drowning in data and starving for insight.
Despite the explosion of information—with 90% of all data created in the last two years (a figure only growing with AI)—most organizations still utilize less than 5% of their total data for critical decision-making. What stands between this massive volume of data and genuine business meaning?

This segment explains the important shift from seeing AI just as a tool for automation to recognizing its true power as a sense-maker. We explain how Artificial Intelligence finds patterns and predicts results, allowing systems to learn and potentially improve their own learning. However, the pursuit of insight requires the essential element of Human Intelligence, which adds context, ethics, and creativity. Data shows you what happened, AI predicts what’s next, but humans decide what matters most. The most valuable insights are found where AI and humans meet. You will learn how to turn a simple pattern detected by AI into a practical business decision. We focus on the formula: “Insight = Pattern + Purpose.” An actionable insight must be surprising yet simple, backed by data and context, and lead to a specific action. While facts describe, insights explain and inspire agility in business.

Ultimately, this overview helps you understand the connection between Pattern, Meaning, and Decision, making sure that AI’s predictions are turned into hypotheses that lead to experimentation and business success.

The_Data_Paradox__Synthetic_AI,_The_Reality_Gap,_and_the_Human_

Des parcours Data et IA inspirants, des conseils, des technologies qui changent le monde, tout ça dans un format ludique !

Popular tracks tagged ##datascience