Data-Driven Podcast

In this episode of the Data-Driven podcast, host David Mariani sits down with Justin Borgman, the CEO and founder of Starburst. The two seasoned entrepreneurs discuss the evolution of big data analytics, sharing their own journeys from the early days of Hadoop to the current landscape of data lakes and cloud-based solutions. Justin delves into the founding of Starburst, the challenges and opportunities in building a startup, and why he believes data lakes are experiencing a resurgence. The conversation also touches on the importance of focus and experience for entrepreneurs, offering valuable insights for anyone navigating the complex world of data analytics.

In this interview, Dave Mariani interviews Ryan Janssen, the CEO and founder of Zenlytic, and Paul Blankly, the CTO and founder of Zenlytic. They discussed the importance of Generative AI, Natural Language Query, and analytics in the data industry. The conversation delves into the role of analysts in the evolving landscape and the potential of LLMs and the semantic layer to revolutionize data consumption. Overall, they explore the opportunities and considerations in leveraging LLMs and the semantic layer for data-driven insights.

In this interview, Dave and David J will discuss the value of the semantic layer in data management. They explored two different perspectives on delivering this value and shared insights about their respective paths that led them to co-found and start companies. The conversation will revolve around data analytics, the role of the semantic layer, and their experiences in the field of data management.

Listen to 🦾Jepson Taylor and discover the transformative power of generative AI and its impact on the future of artificial intelligence. Gain insights into the role of analytics leaders in driving AI adoption and overcoming challenges in legacy systems and data modernization. Explore strategies for success and understand the benefits of integrating platforms like Dataiku and AtScale in accelerating data transformation and delivering actionable insights across industries.

Listen to Christopher Wagner discuss paths into analytics, bridging the gap between technical and business aspects, and his experience working with business intelligence (BI) and data warehousing technologies such as Oracle and Microsoft Power BI. You also get to learn more about the evolution of Power BI and its interconnectivity. Chris also talks about the importance of enjoying what you do and having a passion for data and analytics.

Listen to Carly Taylor, an expert in gaming and machine learning. She shared insights on the rise of mobile gaming, player engagement, and how machine learning improves gaming experiences. We also discussed Carly’s experience with ChatGPT, finding it engaging and informative. The episode provides a look at how gaming and machine learning intersect, and the potential for chatbots like ChatGPT in various industries.

Listen to Sharon Richardson, Databricks talks about the data mesh concept and how Databricks enables organizations to implement it. Elif and Sharon also discussed the four principles of data mesh, which include domain-oriented data ownership, managing data like a product, having a common self-service data infrastructure as a platform, and governance through federated computational governance. They focus on the challenge of understanding what is meant by federated computational governance and how technology enables it

Listen to Vin Vashishta sharing about his experience in the data industry for over 20 years, helping organizations make data-driven decisions and achieve their business goals through effective data management and analysis. Vin spoke about data strategy, data monetization, and the future of data, and has worked with a diverse range of clients across industries.