A Podcast for Data Leaders. Listen to Data Leaders disrupting technologies giving the company access to cutting-edge insights.
Data Disruptors
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8 episodes
Updated Weekly
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Podcast Overview
A Podcast for Data Leaders. Listen to Data Leaders disrupting technologies giving the company access to cutting-edge insights.
Language
🇺🇲
Publishing Since
3/25/2024
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Recent Episodes
October 14, 2024
Vanguard's Sanjay Reddy on The Future of Data Products
<p>Data Disruptors - A Podcast for Data Leaders. Listen to Sanjay Reddy, Vanguard's Chief Architect for Data on The Future of Data Products In this episode, Tomer Shiran sits down with Vanguard's Chief Architect for Data, Sanjay Reddy, in this episode, they discusses the scale and impact of Vanguard in the financial sector, the challenges of data management, and the importance of creating effective data products. He emphasizes the need for a structured approach to data governance, the role of AI in enhancing data processes, and offers valuable advice for data leaders navigating organizational dynamics. Chapters - Introduction to Vanguard and Its Scale - The Role of Chief Architect for Data - Challenges of Data Silos and Modernization - Understanding Data Products - Defining Data Products vs. Data Sets - Creating Data Products: The Blueprint Process - Use Cases and Access Management for Data Products - Data Catalogs and Marketplaces - AI's Role in Data Management - Advice for Data Leaders - Current Challenges in Data Management</p>
October 10, 2024
FactSet's Greg Ruhnow discuss Data Governance, Data Products, and more, as well as advice for other data professionals
<p>Data Disruptors - A Podcast for Data Leaders. Listen to Greg Ruhnow, FactSet Data Leaders discuss Data Governance, Data Products, and more, as well as advice for other data professionals In this episode, Tomer Shiran sits down with FactSet's Principal Architect, Greg Ruhnow. In this episode, they take listeners on a journey through FactSet's evolution, exploring the intricacies of their data ecosystem and the challenges of data management in the financial services industry. With a focus on data governance, data products, AI and the adoption of cutting-edge technologies like Iceberg and Dremio, this conversation is a must-listen for anyone seeking to stay ahead of the curve in the ever-evolving world of data. <em>*** The views and opinions expressed in this interview are those of Greg Ruhnow, and do not necessarily reflect the official policy or position of FactSet Research Systems. *** </em> Chapters - Introduction to FactSet and Its Evolution - The Data Ecosystem at FactSet - Challenges in Data Consistency and Accuracy - Data Delivery Methods and User Experience - Architectural Evolution and Technical Debt - Adopting Open Source Technologies - Data Ownership and Governance - The Role of AI in Data Management - Career Insights and Advice - Emerging Trends and Future Challenges Take the Dremio Platform for a free test-drive: https://www.dremio.com/test-drive/ #datalakehouse #analytics #datawarehouse #datalake #dataengineers #dataarchitects #governance #infrastructure #modernization, #datasharing #selfservice #datamanagement, #financialservices, #AI #dataarchitecture #tables #generativeai #genai #datadisruptors #innovating #dataplatforms, #data-driven, #culture, #dataquality, #opensource, #dataproducts #engineering, #technologyevolution, #careeradvice #gregruhnow #factset</p>
September 26, 2024
Whoop's Carlos Peralta on Building a Data-Driven Culture at Whoop and Moderna: Collaboration and Alignment
<p>Data Disruptors - A Podcast for Data Leaders. Listen to Carlos Peralta, Whoop Data Leaders disrupting technologies giving the company access to cutting-edge insights on Building a Data-Driven Culture at Whoop and Moderna: Collaboration and Alignment. In this episode, Tomer Shiran interviews Carlos Peralta, MLOps & Data Eng Global Director, WHOOP discusses his experience building data platforms and driving a data-driven culture. He emphasizes the importance of collaboration between technical teams and business stakeholders, as well as the need for data quality and integrity. Carlos also highlights the challenges of model interpretability and fairness, as well as automated feature engineering and data preparation. He shares his career advice, including the importance of communication and continuous learning. Takeaways • Collaboration between technical teams and business stakeholders is crucial for building a data-driven culture and achieving meaningful business outcomes. • Data quality and integrity are persistent challenges that require smarter data validation tools and automation. • Model interpretability and fairness are important considerations, especially in sensitive industries, and there is a need for transparent and explainable AI frameworks. • Automated feature engineering and data preparation can accelerate the model development lifecycle and allow data scientists to focus on innovation. • Career advice includes prioritizing communication, understanding strategic goals, and embracing continuous learning. Chapters 00:00 - Introduction and Background 45:00 - Building a Data Platform at Moderna 12:26:00 - Transition to Whoop and ML Ops 24:05:00 - Reducing Costs and Controlling Costs 26:11:00 - Career Advice and Lessons Learned 29:45:00 - Challenges and Opportunities in the Data Space Take the Dremio Platform for a free test-drive: https://www.dremio.com/test-drive</p>
8 total episodes available
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Frequently asked questions
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- What is Data Disruptors?
- How often does this podcast release new episodes?
This podcast updates weekly.
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This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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Yes, this podcast regularly features guests.
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