
AI & Data Science: Insider Insights from Tech Leaders
Date / Time: Saturday 23 November / 14:30 - 15:30 EET @ Workshop room (-1st floor - Room 1)
Kindly Offered from Greek Women Do Tech and Greek Girls Code

Speaker: Matina Thomaidou
VP, Head of Data Science @ Dataseat (Verve Group) | Co-Founder @ Greek Women Do Tech


Speaker: Lilian Balatsou
Conversational Intelligence Chapter Lead @ Vodafone | AI Evangelist

Workshop Description:
Join us for an interactive workshop where Matina & Lilian having worked as Tech / AI Leaders at Meta, IBM, Vodafone, Startups share valuable insights into the opportunities available in AI and data science. Gain practical knowledge and industry perspectives to guide your career journey in this rapidly evolving field.
What will you Learn:
Gain practical knowledge and industry perspectives to guide your career journey in this rapidly evolving field.
Level: Intermediate
TAGs: #AI #DataScience #TechLeaders #WomenDoTech #Insights #TechWorkshop
Target audience:
- Working or Studying or Taking extra courses in Tech
Deliverables:
- Understanding of AI and data science concepts and techniques.
- Gaining a horizontal view of today’s AI & data science landscape.
- Awareness of tools, languages, and career paths in the field.
- Insights into industry trends and opportunities.
- Opportunity for Q&A with Matina & Lilian who have worked as Tech / AI Leaders at Meta, IBM, Vodafone, Startups.
Schedule:
- Introduction to AI and Data Science (10 minutes):
– Brief overview of AI and data science and their significance in today’s world. Brief history and present perspectives. - Understanding AI and Data Science Techniques (10 minutes):
– Overview of key techniques and methodologies in AI and data science, including machine learning, deep learning, and NLP. - Tools and Languages for AI and Data Science (5 minutes):
– Introduction to commonly used programming languages and tools such as Python, R, TensorFlow, and scikit-learn. - The Data Science Lifecycle (5 minutes):
– Explanation of the stages in the data science lifecycle and their importance in developing successful AI projects. - The AI Product Lifecycle (5 minutes):
- Explaining AI products, the stages and teams involved, different kinds of products (i.e. SaaS, platforms, dockers). - Exploring Roles and Career Paths (10 minutes):
– Overview of various roles and career paths in AI and data science, including insights into roles at Big Tech companies VS Startups. - Industry Trends and Future Outlook (10 minutes):
– Discussion on current trends, challenges, and future opportunities in AI and data science. - Q&A Session (10 minutes):
– Open floor for extra questions from the audience.
– Speakers address audience queries and provide further insights.