Sci-Tech Students Learn About Tech Positions

Sci-Tech Students Learn About Tech Positions

The IE Big Data & AI Club launched a new panel series designed to help students deepen their understanding of professionals working in the tech industry

One Day in a Tech Position is the new panel series launched by the IE Big Data & AI Club that connects professionals in the technology industry with master and undergrad students interested in the field.

Students from the School of Science and Technology applauded the initiative in which invited experts shared insightful details about their current roles and responsibilities.

"As an undergrad, I am still exploring career options, and this was very useful in giving me insights and contextualizing what a day in their life looks like," remarked Alyssa De Conceicai, an exchange student. 

Sci-Tech Students Learn About Tech Positions

Panelists from AWS, Accenture, and Rankuten India participated in the second event of this series focused on the business roles within the industry.

The Technical Business Development Manager at AWS, Engincan Meyden, a 2018 Master in Management alum, discussed his educational background and career path. 

"I consider myself a lifelong learner," said Meyden. "Even though I finished my studies in 2019, I still try to improve my skills with courses, certifications, and books."

He told the students that after IE, he started working at AWS, initially under the sales organization until he found the core role that better fit his skills.  

Gaurav Mahakud, Saas Product Manager of Rakuten, talked about how his company uses technology to introduce products faster into the market. He explained that with AI technology, they can MVP prototype and identify who is willing to pay. 

"If you don't have the right target market or cannot scale, then it's wrong," stated Mahakud emphasizing the importance of these techniques. 

Likewise, the former Senior Manager at Accenture, Genki Sakamoto, mentioned using these technologies to make predictions, improve efficiencies, and control marketing performance. 

However, he stressed that people shouldn't just use AI for the sake of using it. "Sixty percent of data is useless," said Sakamoto.  

He explained that it is really important to learn how to clean data by identifying the Students were highly engaged throughout the session and actively participated with the speakers and the subsequent Q&A session.