All speakers

Chad Sanderson

CEO, Gable.ai

Chad Sanderson is passionate about data quality, and fixing the muddy relationship between data producers and consumers. He is a former Head of Data at Convoy, a LinkedIn writer, and a published author. He lives in Seattle, Washington, and is the Chief Operator of the Data Quality Camp. He is currently the CEO & Co-Founder of Gable, a collaboration, communication, and change management platform for data teams operating at scale.

Chad Sanderson

Sessions / 2024 / 1 talk

  • WTF Are We Doing?

    The volume of data-focused communities has exploded over the past couple of years, along with a never-ending stream of think pieces on building a data culture. With so much buzz, we gotta ask: are we truly making strides toward building a more effective data industry, or are we merely swept up in the hype? Are our efforts yielding tangible results, and are they worth the investment? Join us as our panel of industry experts share their unfiltered perspectives across a few targeted areas: What's the impact of rapidly proliferating data communities on the broader industry? What are we getting right, and where are we fundamentally failing? With rapid advancements in AI and data tooling, are we actually closer to having well-functioning and impactful data teams? Have we adequately addressed the underlying people/process problems that generally fall under the ""data culture"" umbrella? How and why do companies and communities continue to fail to rally around data despite myriad tooling options and endless think-pieces about what it takes to get it right?

Sessions / 2023 / 1 talk

  • Data Contracts: Accountable Data Quality

    Data Contracts are a mechanism for driving accountability and data ownership between producers and consumers. Contracts are used to ensure production-grade data pipelines are treated as part of the product and have clear SLAs and ownership. Chad Sanderson, former Head of Data at Convoy has implemented Data Contracts at scale on everything from Machine Learning models to Embedded Metrics. In this talk, Chad will dive into the why, when, and how of Data Contracts, covering the spectrum from culture change to implementation details.

Sessions / 2022 / 1 talk

  • Getting ROI from Experimentation: How AB Experimentation plays out in Organizations

    Experimentation is a critical part of the modern product development lifecycle. In order to implement experimentation effectively, data teams must invest in robust, scalable assignment systems, metrics computation, and complex statistical analysis frameworks. Most companies get started with decentralized analysis, in Jupyter or mode notebooks. Others centralize piecemeal with a looker dashboard and homegrown feature flagging, but leave crucial workflows to be done ad hoc or not at all. This talk will review the core elements of the modern experimentation stack, which components must be closely vetted, and examples of how bad experimentation can be more damaging to an organization than no experimentation at all. Listeners will leave with an understanding of how to spot a faulty experimentation stack with a review of alternative solutions.

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