data-reliability
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Barr Moses
Barr Moses is the co-founder and CEO of Monte Carlo, the company that created the data observability category and built one of the first end-to-end platforms for catching what she named 'data downtime' - the stretches when data is wrong, missing, or simply not trustworthy. A Stanford-trained mathematician and former Israeli Air Force intelligence data unit commander, she went from Bain consulting and a VP role at Gainsight to building a data reliability company valued at $1.6 billion. She co-authored O'Reilly's 'Data Quality Fundamentals' and is one of the most cited voices on why enterprises should treat broken data like broken software.
Manu Bansal
Manu Bansal is co-founder and CEO of Lightup, an AI-powered data quality and observability platform for the enterprise data stack. A Stanford EE PhD and IIT Kanpur alum, he first co-founded Uhana, a machine-learning analytics company for mobile carriers that VMware acquired in 2019. The grind of debugging bad data at Uhana became the seed for Lightup, which now runs hundreds of thousands of daily data-quality checks across petabytes of customer data and is backed by Andreessen Horowitz.