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We sat down with Fiddler’s founder and CEO Krishna Gade to talk about explainable AI, lessons from Microsoft, Twitter, Pinterest, Facebook, Bing vs. Google, raising $45M and what should entrepreneurs building in AI today focus on.
Fiddler is a pioneer in enterprise Model Performance Management. Data Science, MLOps, and LOB teams use Fiddler to monitor, explain, analyze, and improve their solutions and build trust into AI.
The unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. It addresses the unique challenges of building in-house stable and secure MLOps systems at scale.
Unlike observability solutions, Fiddler seamlessly integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices.
F500 companies use Fiddler across training and production models to accelerate AI time-to-value and scale and increase revenue by connecting predictions to business context or providing visibility into model performance and behavior.
Fiddler is backed by Bloomberg Beta, Amazon Alexa Fund, Insight Partners, Lightspeed Venture Partners, Haystack, and Lux Capital, among others.
0:00 - Will we ever be able to explain AI?
8:33 - Getting a better understanding of why AI system acts the way it does
20:00 - Fiddler’s customer profile & success stories
27:50 - The mechanics of data perturbation
33:20 - R&D breakthroughs powering Fiddler
39:21 - Lessons from Microsoft, Twitter, Pinterest, and Facebook
44:31 - Bing vs Google
47:55 - Founding Fiddler: building team, fundraising
57:20 - Specialized types - a group of ex-Twitter engineers
59:20 - Advice to entrepreneurs building an AI business today
Web: https://www.fiddler.ai
Linkedin: https://www.linkedin.com/company/fiddler-ai/
Twitter: https://twitter.com/krishnagade
Join Fiddler: https://www.fiddler.ai/careers
At Dawn, we invest in visionary leaders who move the world forward. Learn more at https://dawn-gv.com
With questions about Forward contact us at [email protected]
We sat down with Fiddler’s founder and CEO Krishna Gade to talk about explainable AI, lessons from Microsoft, Twitter, Pinterest, Facebook, Bing vs. Google, raising $45M and what should entrepreneurs building in AI today focus on.
Fiddler is a pioneer in enterprise Model Performance Management. Data Science, MLOps, and LOB teams use Fiddler to monitor, explain, analyze, and improve their solutions and build trust into AI.
The unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. It addresses the unique challenges of building in-house stable and secure MLOps systems at scale.
Unlike observability solutions, Fiddler seamlessly integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices.
F500 companies use Fiddler across training and production models to accelerate AI time-to-value and scale and increase revenue by connecting predictions to business context or providing visibility into model performance and behavior.
Fiddler is backed by Bloomberg Beta, Amazon Alexa Fund, Insight Partners, Lightspeed Venture Partners, Haystack, and Lux Capital, among others.
0:00 - Will we ever be able to explain AI?
8:33 - Getting a better understanding of why AI system acts the way it does
20:00 - Fiddler’s customer profile & success stories
27:50 - The mechanics of data perturbation
33:20 - R&D breakthroughs powering Fiddler
39:21 - Lessons from Microsoft, Twitter, Pinterest, and Facebook
44:31 - Bing vs Google
47:55 - Founding Fiddler: building team, fundraising
57:20 - Specialized types - a group of ex-Twitter engineers
59:20 - Advice to entrepreneurs building an AI business today
Web: https://www.fiddler.ai
Linkedin: https://www.linkedin.com/company/fiddler-ai/
Twitter: https://twitter.com/krishnagade
Join Fiddler: https://www.fiddler.ai/careers
At Dawn, we invest in visionary leaders who move the world forward. Learn more at https://dawn-gv.com
With questions about Forward contact us at [email protected]