Welcome Pranil Dasika!

We’re stoked to introduce Pranil Dasika, the newest member of our team. Pranil joined us as a Principal Software Engineer in the midst of COVID-19 pandemic and recently stepped up as our Head of Engineering. Before joining Fiddler Labs, Pranil had played key engineering roles at early and growth-stage startups, both in consumer and enterprise … Continue reading “Welcome Pranil Dasika!”

Explainable Monitoring: Stop flying blind and monitor your AI

Data Science teams find Explainable Monitoring essential to manage their AI. Photo by Bruce Warrington on Unsplash The Need for AI/ML Monitoring We’re living in unprecedented times where in a matter of a few weeks, things changed dramatically for many humans and businesses across the globe. With COVID-19 spreading its wings across the globe, and … Continue reading “Explainable Monitoring: Stop flying blind and monitor your AI”

Explainable AI goes mainstream. But who should be explaining?

Bias in AI is an issue that has really come to the forefront in recent months — our recent blog post discussed the Apple Card/Goldman Sachs alleged bias issue. And this isn’t an isolated instance: Racial bias in healthcare algorithms and bias in AI for judicial decisions are just a few more examples of rampant … Continue reading “Explainable AI goes mainstream. But who should be explaining?”

The never-ending issues around AI and bias. Who’s to blame when AI goes wrong?

We’ve seen it before, we’re seeing it again now with the recent Apple and Goldman Sachs alleged credit card bias issue, and we’ll very likely continue seeing it well into 2020 and beyond. Bias in AI is there, it’s usually hidden, (until it comes out), and it needs a foundational fix. This past weekend we … Continue reading “The never-ending issues around AI and bias. Who’s to blame when AI goes wrong?”