The Hype of AI

​This session is part of the GirlsWhoML × Mentor Me Collective Workshop Wednesdays series.

​In this session, Mikal Afewerki will unpack what’s real beyond the AI hype — and where AI actually helps in analytics, automation, and decision-making.

​We’ll explore how to think critically about AI in real operational environments, where data quality, business context, human judgement, and practical workflows matter just as much as the technology itself.

​Mikal is a Data Analyst specialising in operational analytics, data-driven decision-making, and data automation across energy and aerospace. Her background combines mechanical engineering, analytics, automation tools, and a practical approach to using data for better decisions.

​This session is especially useful for students, early-career professionals, analysts, engineers, and anyone who wants to understand AI beyond buzzwords.

​You’ll learn:

• ​how to separate useful AI applications from hype

• ​where AI can actually support analytics and automation

• ​why data quality and context matter in decision-making

• ​how analysts can think critically about AI tools

• ​what early-career professionals should understand