Machine Learning in Complex Systems and Non-Linear Systems: Interview with Dr. Chris Kulp
George Firican interviews Dr. Chris Kulp, Professor of Physics specializing in non-linear dynamics and machine learning. The discussion delves into how machine learning is revolutionizing both natural and social sciences by identifying patterns in massive data sets that humans might overlook. Dr. Kulp also shares his insights on applying mathematical analysis to social systems, the challenges and benefits of AI in complex systems like economics, and his experience in interdisciplinary collaboration. Additionally, viewers will learn about Dr. Kulp’s novel 'Lost Origins,' which integrates scientific concepts within a compelling narrative, highlighting the power of creative storytelling to make advanced scientific topics accessible to a broader audience. The episode concludes with advice for aspiring researchers looking to bridge science and machine learning in their careers.
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22:01
AI Compliance & Risk Management: Best Practices with Santosh Kaveti
In this episode of the Lights On Data Show, host George Firican discusses AI compliance and risk management with Santosh Kaveti, the founder and CEO of ProArch. As AI technology advances rapidly, Santosh shares valuable insights on securing and operationalizing AI in organizations, understanding data and model risks, and integrating AI securely within regulated industries like healthcare and power generation. Learn about the importance of executive buy-in, data governance, and compliance strategies to ensure successful AI adoption. Don't miss this informative discussion packed with practical recommendations for navigating the complexities of AI implementation.
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24:39
Unpacking DevOps Bull: Challenges, Solutions, and the Future
Join George Firican as he hosts Cory O'Daniel, CEO and co-founder of Massdriver, in an engaging episode of the Lights On Data Show. They delve into the complexities of cloud operations, DevOps, and infrastructure management. Cory discusses his controversial article 'DevOps is Bull(bleep)' and shares insights on why traditional DevOps practices are failing modern businesses. They explore the evolving landscape of infrastructure management, the necessity of infrastructure as code, and how Massdriver aims to simplify and enhance these processes. This episode is a must-watch for anyone involved in cloud operations and looking to understand the future of DevOps and platform engineering.
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26:34
Data Lineage Best Practices: Interview with Caitlyn Truong
In this episode of the Light On Data Show, host George Firican dives into the critical yet often overlooked aspect of data management: data lineage. Special guest Caitlyn Truong, co-founder and CEO of Zengines, shares her expertise from over 20 years in financial services, telecommunications, and energy. Caitlyn discusses the importance of data lineage for operational efficiency and regulatory compliance, offering best practices and the 5 steps for organizations to successfully implement data lineage. Tune in to discover how to best track data lineage, navigate legacy systems, and leverage tools to overcome challenges and achieve success.
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20:58
How to Start and Thrive as a Freelance Data Scientist
In this episode of the Lights On Data Show, host George welcomes back Dimitri Visnadi, a successful freelance data scientist. Dimitri shares his journey into freelancing, emphasizing the mindset shifts and practical steps necessary to build a sustainable freelancing business in the data science field. The discussion covers Dimitri's strategies for finding clients, the impact of AI tools on freelance work, and the innovative subscription model he's experimenting with. Learn about Dimitri's insights on managing risks, the importance of a support network, and the various channels for securing clients as a freelance data professional. Don't miss this deep dive into the realities and opportunities of freelancing in the data space.
Each episode puts the lights on various data topics with renowned industry experts. We cover the following topics in a fun and informative interview format: data science, data analytics, machine learning, artificial intelligence, data visualization, data storytelling, data governance, data management, data quality, data strategy, and much more.
Österreich