Maria Apazoglou, Head of AI, BI & Data Platforms at Thomson Reuters, discusses her journey from quantitative analysis to AI leadership. She reveals key strategies for building effective teams, emphasizing diversity and individual ownership. The conversation covers integrating legacy systems with emerging AI technologies, showcasing efforts to train over 12,500 employees in AI tools. Maria also highlights the ongoing importance of human roles in an increasingly automated world, demonstrating how technology can enhance organizational efficiency and creativity.
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volunteer_activism ADVICE
Building Great Teams
Build diverse teams with members who balance speed and stability.
Encourage a sense of ownership, as it drives quality and care for users.
volunteer_activism ADVICE
Engaging Teams Across Different Projects
Ensure all team members have goals that reflect both legacy maintenance and new development.
Encourage legacy teams to reimagine applications using newer technologies.
question_answer ANECDOTE
Democratizing AI at Thomson Reuters
Thomson Reuters democratized AI by making an internal AI tool enterprise-wide and providing training.
Usage grew from 400 to 12,500 users, with over 50% of employees accessing it monthly.
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This is the Engineering Culture Podcast, from the people behind InfoQ.com and the QCon conferences.
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Maria Apazoglou, Head of AI, BI & Data Platforms at Thomson Reuters, about as her experience in building great teams and democratizing the use of large language models across the organization.
Read a transcript of this interview: https://bit.ly/4ikn34O
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