Data ethics is the conversation and morals that surround the collecting, analysing and storing on personal and even societal information.
But while the benefits of data analytics are clear, does it pose a threat to our privacy and autonomy? And if it does, where should companies draw the line?
In this episode of the EM360 Podcast, Analyst Susan Walsh speaks to Lexy Kassan, Data and AI Strategist at Databricks, about:
- Data ownership
- Keeping data sets indefinitely
- Treating people like people vs data points
Databricks is the data and AI company. More than 5,000 organisations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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