MAD Data: An ML, AI, and Data Podcast by Databand Podcast Por Databand arte de portada

MAD Data: An ML, AI, and Data Podcast by Databand

MAD Data: An ML, AI, and Data Podcast by Databand

De: Databand
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It’s a mad world out there, and we’re not referring to the global headlines. Machine learning, AI, and data now steer every company's decision-making – whether big or small. Enter the MAD Data podcast. Every month, we talk to experts like you who use machine learning, AI, and data to transform their businesses. So join us as we highlight the stories that shape the fields of data engineering, science, and analytics both for today and the future. MAD Data podcast is brought to you by Databand, the data industry's 1st proactive data observability platform. Economía
Episodios
  • The Impacts Of Generative AI For Data Integration
    Jun 8 2023
    Scott Brokaw, Director of Product Management, Data Integration at IBM, begins by introducing the concept of generative AI and its role in data integration. He explains how this cutting-edge technology utilizes machine learning algorithms to autonomously generate, enhance, and fuse disparate data sources, enabling organizations to derive valuable insights and make informed decisions. Tune in and gain a deeper understanding of the transformative power of generative AI in data integration and its far-reaching impacts on businesses, industries, and society as a whole.
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    32 m
  • All Things Airflow: Past, Present And Future
    Mar 23 2023
    Are you curious about the evolution of Apache Airflow? In this episode, we discuss the open-source platform used by data engineers worldwide to program and monitor workflows. Joined together with Marc Lamberti's expert insights and analysis of his experiences with Airflow, he covers the history, key takeaways, and tips for getting started with the popular tool. Whether you're a data engineer or just interested in learning more about workflow management tools, this episode is designed to keep listeners engaged with a practical and resourceful discussion.
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    29 m
  • Data Quality Through The Lens Of An Analytics Engineer
    Feb 24 2023
    Following the journey of an analytics engineer as they navigate through the challenges of data quality is no easy task. Fortunately, we were happy to be joined by Madison Schott, an Analytics Engineer over at Winc. With her expertise, she helps describe the importance of maintaining clean and accurate data in the analytics process. She also goes into greater detail on common data quality issues and their potential causes from her own point of view.
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    32 m
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