How to Detect Model Drift in ML Monitoring

AI adoption is rapidly rising across industries. With the advent of Covid-19, digital adoption by consumers and businesses has vaulted five years forward in a matter of eight weeks. However, the complexity of deploying ML has hindered the success of AI systems. MLOps and specifically the productionizing of ML models come with challenges similar to … Continue reading “How to Detect Model Drift in ML Monitoring”

Hired Partners with Fiddler to Pioneer Responsible AI for Hiring

At Fiddler, we recently announced a partnership with Hired to increase transparency and mitigate bias in its tech talent marketplace. The Hired marketplace uses its proprietary AI Intelligent Job Matching technology to match candidates with relevant jobs at innovative companies across the globe. All of Hired’s AI was built in-house, and they are now layering Fiddler’s … Continue reading “Hired Partners with Fiddler to Pioneer Responsible AI for Hiring”

Accelerating AI in the time of COVID-19; Fiddler named to Forbes’ AI 50 list

We’re excited to announce that Fiddler has been named one of America’s most promising artificial intelligence companies on this year’s Forbes AI 50 list. Forbes partnered with venture firms Sequoia Capital and Meritech Capital to look at over 400 privately-held, U.S.-based companies that are applying AI in meaningful, business-oriented ways. Judges evaluated companies on their … Continue reading “Accelerating AI in the time of COVID-19; Fiddler named to Forbes’ AI 50 list”

Identifying bias when sensitive attribute data is unavailable: Geolocation in Mortgage Data

In our last post, we explored data on mortgage applicants from 2017 released in accordance with the Home Mortgage Disclosure Act (HMDA). We will use that data, which includes self-reported race of applicants, to test how well we can infer race using applicants’ geolocations in our effort to better understand methods to infer missing sensitive … Continue reading “Identifying bias when sensitive attribute data is unavailable: Geolocation in Mortgage Data”

Explainable Churn Analysis with MemSQL and Fiddler

Fiddler and MemSQL are partnering to offer the power of MemSQL to users of Fiddler’s toolset for explainable AI – and to offer Fiddler’s explainability tools to the many MemSQL customers who are already using, or moving to operational AI. To this end, the two companies are offering new, efficient ways to connect MemSQL self-managed … Continue reading “Explainable Churn Analysis with MemSQL and Fiddler”