Ep37: The Boring Future of Data Engineering (And Why It's a Good Thing)

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Data Neighbor Podcast

40 episodes

1 day ago

Welcome to the Data Neighbor Podcast with Hai, Sravya, and Shane! We’re your friendly guides to the ever-evolving world of data. Whether you’re an aspiring data scientist, a data professional looking to grow your career, or just curious about how data shapes the world, you’re in the right place. Our mission? To help you break in or thrive in the field of data. We dive into: - Personal career journeys and how luck, opportunity, and grit play a role - How to break into the data field even with a non-traditional background - Industry insights through engaging conversations and expert interviews

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Ep37: The Boring Future of Data Engineering (And Why It's a Good Thing)

Data Neighbor Podcast

57 minutes 19 seconds

1 month ago

Ep37: The Boring Future of Data Engineering (And Why It's a Good Thing)

Unlock the secrets to building a future-proof data organization that thrives on impact, not just effort. Join us as we sit down with Manoj Mohan, former Engineering Leader of Data and AI Platforms at Intuit, and a seasoned leader from Meta, Cloudera, and Apple. Manoj shares his deep insights from two decades in the data, ML, and AI space, offering pragmatic strategies for long-term success.In this episode, you’ll discover:- Hard-won lessons from early data warehouse failures and the critical role of humility and scalability in data projects.- Why embracing a "platform as a product" mindset for data engineering is essential for long-term efficiency and avoiding KPI chaos.- Manoj Mohan's powerful "3 Gs" framework (Grounded, Guarded, Governed) for deploying Large Language Models (LLMs) responsibly and effectively within the enterprise, comparing them to high-speed Formula One cars that need robust guardrails.- A visionary outlook on what a future-proof data organization might look like by 2030, where AI-driven insights are seamlessly accessible to every employee.- Practical advice for startups on balancing speed with sustainable data infrastructure, ensuring foundational blocks are built alongside product innovation.- Key principles for data leaders, including the importance of continuous learning, unlearning, and focusing on problem-solving over tools.Whether you're a data engineer, an AI enthusiast, a data leader, or navigating data challenges in a startup, this episode is packed with invaluable wisdom to help you build resilient, scalable, and impactful data systems.

Connect with Hai, Sravya, and Shane (let us know which platform sent you!):- Hai: https://www.linkedin.com/in/hai-guan-6b58a7a/- Sravya: https://www.linkedin.com/in/sravyamadipalli/- Shane: https://www.linkedin.com/in/shaneausleybutler/#DataEngineering #AIPlatforms #LLMs #DataStrategy #Scalability #DataGovernance #ResponsibleAI #PlatformAsAProduct #FutureOfData #DataOrganization #StartupData #EnterpriseAI #DataLeadership #MLEngineering #DataManagement #ManojMohan #DataNeighborPodcast #TechLeadership