Mike Tamir talks about building Data Science AI Teams

Mike Tamir talks about building Data Science AI Teams

Author: AnalyticsWeek August 18, 2018 Duration: 55:54
In this podcast Mike Tamir (@MikeTamir, Head of #DataScience) talked about building a data science AI team. He shared his AI project (FakerFact.org). He shared the lifecycle of an AI project and some things that leaders could keep in mind to help create a successful data science AI team. This podcast is great for leaders learning to build a strong AI workforce. TIMELINE: 0:28 Micheal's journey. 2:36 Micheal's current role. 3:18 AI and businesses. 5:28 Parameters to consider for AI adoption. 9:30 When do businesses invest in ML resources. 13:20 Tips for candidates in vetting data companies. 16:05 What's the faker fact? 20:45 Getting started on an AI product design. 24:58 Achieving accuracy in data. 27:40 AI the newsmaker and AI the fact-checker. 33:56 Tips for hiring the right data leader for a business. 35:32 Creating a great data science team. 37:19 Challenges in forming a data science team. 39:00 In job training to achieve technological competence. 44:00 Ingredients of a good hire. 47:35 Micheal's secret to success. 50:55 Micheal's favorite reads. 54:20 Key takeaways. Mike's Recommended Read: What Technology Wants by Kevin Kelly https://amzn.to/2MaNiuN Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville http://www.deeplearningbook.org/ Podcast Link: https://futureofdata.org/building-data-science-ai-teams-by-miketamir-uberatg-futureofdata-podcast/ Mike's BIO: Mike serves as Head of Data Science at Uber ATG, UC Berkeley Data Science faculty, and head of Phronesis ML Labs. He has led teams of Data Scientists in the bay area as Chief Data Scientist for InterTrust and Takt, Director of Data Sciences for MetaScale/Sears, and CSO for Galvanize, where he founded the galvanizeU-UNH accredited Masters of Science in Data Science degree and oversaw the company's transformation from co-working space to Data Science organization. Mike's most recent passion in research has involved applying Machine Learning techniques to help combat fake news through the FakerFact.org project About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to discuss their journey to create the data-driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ https://analyticsweek.com/ Want to sponsor? Email us @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

The landscape of data and analytics is shifting faster than ever, driven by the people who build the systems, challenge the norms, and imagine what comes next. The Future of Data Podcast from AnalyticsWeek sits down with those very people for substantive, often unexpected, dialogues. Each episode is a direct conversation with a leader, an influencer, or a change maker who is actively shaping this dynamic world. You’ll hear less from theorists and more from practitioners in the trenches, discussing the real-world implications of new technologies, the evolving ethics of data use, and the practical strategies that separate hype from genuine transformation. This podcast delves into the human stories behind the data stacks, exploring the challenges, failures, and breakthroughs that define modern analytics. It’s a space for nuanced discussion that goes beyond surface-level trends to examine how data is fundamentally altering industries, governance, and our daily lives. Listen for candid insights on building effective teams, navigating the complexities of AI integration, and anticipating what the next decade of innovation might demand from professionals at every level. These are the essential conversations for anyone who needs to understand not just what is happening in data, but why it matters and where we might be headed. Tune in for a thoughtful exploration of the tools, ideas, and individuals charting the course forward.
Author: Language: English Episodes: 96

The Future of Data Podcast | conversation with leaders, influencers, and change makers in the World of Data & Analytics
Podcast Episodes
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Duration: 59:17
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