data-trust
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Wiiisdom asks the question your dashboard avoids: can you trust it?
A dashboard can look immaculate and still be wrong. Wiiisdom turns testing, certification and version control into a daily discipline for the reports people use to make decisions.
Mika Yamamoto Is Giving Customer AI a Human Job Description
After years spent joining the seams between marketing and customer experience, Mika Yamamoto has arrived at Veeam with a larger brief: make AI useful without making the customer feel processed.
Vasu Sattenapalli Is Turning Data Trust Into a Product
After years inside enterprise data systems, the RightData co-founder arrived at a plain conclusion: a dashboard is only useful when people believe the number. Now he is building the controls that turn corporate data from a hopeful guess into something teams can use.
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.
Monte Carlo
Monte Carlo is the data and AI observability company that pioneered the 'data observability' category. Its platform helps enterprises detect, resolve, and prevent data and AI quality issues - what the company calls 'data downtime' - by monitoring data pipelines end to end, mapping lineage, surfacing anomalies, and tracing root causes. Founded in 2019 by Barr Moses and Lior Gavish, Monte Carlo serves 400+ enterprises including PepsiCo, Cisco, Nasdaq, and Comcast, and has raised $236M at a valuation of roughly $1.6B.