Putting AI into production isn’t just about code; it’s about people, leadership, and strategy. In this episode of the Data Masterclass Podcast, host Aleksejs Plotnikovs sits down with Olga Ivina, Partner and Global Data Science Engineering Leader at Microsoft, to discuss what it really takes to scale AI successfully.
Together, they explore the duality of the AI talent market, the importance of data quality and governance, and how communication bridges the gap between technical and business teams. You’ll also hear insights on technical leadership, human-centered AI, and how to build future-ready teams that can lead in the age of intelligent systems.
🎧 Topics Covered:
💛 Challenges of deploying AI at scale.
💛 The human side of data science.
💛 How Microsoft approaches AI and data governance.
💛 Leadership and communication in AI-driven organizations.
💛 The future of AI and human collaboration.
👥 Featuring:
Guest: Olga Ivina – Partner, Global Data Science Engineering Leader, Microsoft
Host: Aleksejs Plotnikovs – Lead Coach at Data Masterclass
👉𝗞𝗘𝗬 𝗧𝗔𝗞𝗘𝗔𝗪𝗔𝗬𝗦:
💛 Data science remains relevant and will continue to evolve.
💛 95% of AI initiatives fail to scale due to various challenges.
💛 Data quality is essential for successful AI implementation.
💛 Technical talent is crucial for scaling AI efforts.
💛 Not every technical expert is a natural leader.
💛 Communication skills are vital for technical professionals.
💛 The human element in technology is often overlooked.
💛 Continuous learning is necessary for both individuals and organizations.
💛 AI can democratize access to technology and knowledge.
💛 Informed optimism is key to navigating the future of technology.
🎬𝗖𝗛𝗘𝗖𝗞 𝗢𝗨𝗧 𝗢𝗧𝗛𝗘𝗥 𝗘𝗣𝗜𝗦𝗢𝗗𝗘𝗦:👇
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Relevent Tags:
Data Masterclass Podcast, Episode 2, Aleksejs Plotnikovs, Olga Ivina, How to Put AI to Production at Scale, Data analyst interview podcast, podcast science and technology, data analyst, data analyst podcast, data analyst podcast English, tech podcast, data leader podcast, data podcast, AI in production, AI Leadership podcast, data governance, scaling AI systems, human element in AI, AI implementation, future of AI podcast, enterprise AI strategy, technical leadership
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