Chad Sanderson, CEO of Gable.ai and an expert in data quality and governance, shares insights on the transformative power of data contracts in modern data management. He explains how these contracts clarify expectations for data quality and promote better alignment between data producers and consumers. The conversation dives into 'shifting left' practices that tackle problems early, address concerns about data debt, and the crucial role of human oversight. Chad also highlights storytelling as a tool for data teams to enhance communication and effectiveness.
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insights INSIGHT
Data Contracts for Data Quality
Data contracts address data quality issues stemming from decoupled data producers and consumers in the cloud era.
They define expectations like service contracts for APIs, ensuring data reliability and consistency.
insights INSIGHT
Data Quality as Expectation Management
Data quality isn't about pristine data; it's about managing expectations between producers and consumers.
Mismatched expectations, like a timestamp format change, cause data quality issues.
question_answer ANECDOTE
Generative AI and Data Quality
Chad Sanderson's friend's company invested heavily in generative AI but struggled with data quality.
They couldn't distinguish model hallucinations from incorrect data, highlighting the need for data expectations.
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the hidden role of chance in life and in the markets
Nassim Nicholas Taleb
In 'Fooled by Randomness', Nassim Nicholas Taleb discusses the pervasive influence of chance and randomness in our lives and financial markets. The book argues that humans tend to underestimate the role of luck and overestimate the role of skill, leading to biases such as hindsight bias, survivorship bias, and the narrative fallacy. Taleb emphasizes the importance of recognizing and coping with uncertainty, and he critiques the tendency to seek deterministic explanations for random events. The book is part of Taleb's Incerto series, which also includes 'The Black Swan', 'The Bed of Procrustes', 'Antifragile', and 'Skin in the Game'.
Data contracts are redefining data quality and governance, and Chad Sanderson, CEO of Gable.ai, joins host Jon Krohn to explain how they can transform your data strategy. He breaks down what data contracts are, how they shift data quality checks closer to production, and why they’re essential for reducing data debt. Chad also highlights how better alignment between data producers and consumers can elevate data reliability and tackle change-management challenges in modern organizations.
This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
What data contracts are and how they define expectations for data quality [03:16]
What data contracts look like [09:09]
The common misconceptions about data quality when implementing AI [12:55]
Chad’s Chief Operator role at Data Quality Camp [19:46]
How “shifting left” improves data reliability by addressing issues early [24:17]
Why data professionals still struggle with data quality [30:31]
How data debt forms and why it leads to complex, inefficient architectures [35:53]
How will the role of human oversight evolve in ensuring data quality? [47:12]
Super Data Science: ML & AI Podcast with Jon Krohn 
