fiddler

@fiddlerlabs

We're helping enterprises build by unlocking the AI blackbox. Come join us to be part of the future of Explainable AI. Learn more at

San Francisco, CA
Vrijeme pridruživanja: rujan 2018.

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  1. Prikvačeni tweet
    26. ruj 2019.

    "AI has the potential to disrupt many industries, but Fiddler is one of the first companies we’ve seen that wants to ensure this is done in a responsible and ethical way from the start,” says our investor on .

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  2. proslijedio/la je Tweet
    6. velj

    Model Monitoring and Explainability are core to any ML Ops workflow. If one does not understand the core drivers of ML Ops, they will end up having a broken workflow. At we ask our customers to think about the following questions before they operationalize models.

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  3. 5. velj

    “4. AI will be more secure, reliable and explainable”

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  4. 5. velj

    ICYMI: Our January newsletter is up on our blog. Check out articles like CIO: Building an XAI Strategy, Responsible MRM, and Explainable Machine Learning in Deployment

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  5. 31. sij

    Check out this great interview with our CEO on by Andrea Brennan from IQT Labs

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  6. proslijedio/la je Tweet
    31. sij

    is the future of business decision-making. Explainability will play a big role in every aspect of AI workflow from training, QA, deployment, predictions, testing, monitoring, and debugging. Great post by !

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  7. 30. sij

    Great to be a part of the ‘State of Explainable Machine Learning in Deployment’ paper. Presented by by at . Paper:

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  8. 30. sij

    panel led by at -a discussion on a new way to manage in finance. Thanks to the panelists: David Paulsen, Dir. of risk data science ,Svitlana Vyetrenko, AI research lead , & Andrew Feng, fin. analyst at FHFA

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  9. proslijedio/la je Tweet
    27. sij
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  10. 25. sij

    "These algorithms play an increasing role in our daily lives but lack any kind of transparency... Without transparency, it is hard to know what can be changed to improve the situation."

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  11. 23. sij

    Shout out by to our Head of Data Science 's work on counterfactual fairness in text classification, used to improve assessment of toxicity in online content.

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  12. 19. sij

    Salesforce helping champion . "To prevent AI systems from allowing bias to influence recommendations, we need to rely on human understanding, and not just technology."

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  13. proslijedio/la je Tweet
    16. sij

    Identifying segments of data where the AI algorithm is underperforming is critical for reducing bias and improving AI performance. At we solve this using a new paradigm called 'Slice & Explain'. For more info, read this blog.

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  14. 13. sij
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  15. proslijedio/la je Tweet
    9. sij

    The promise of AI and automated decision systems is to dramatically improve the accuracy and access of the various private and public sector benefits. The danger is the hidden exacerbation of protected-class disparities.

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  16. 8. sij
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  17. 7. sij

    Check out how the Fiddler team crafts designs that unlock explainable AI to streamline business decisions.

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  18. proslijedio/la je Tweet
    1. sij

    It's been an amazing 2019 for ! 1. Built an awesome team. 2. Campaigned for and . 3. Featured as a Gartner cool vendor for AI Governance. 4. Iterated on a product that is delighting our customers. Ready for 2020! 🙏🙏🚀🚀

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  19. 1. sij

    2019: We saw Explainable AI get into mainstream from being a research topic. 2020: We will see some real Explainable AI products launched by companies to their end users.

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  20. proslijedio/la je Tweet
    27. pro 2019.

    With the recent news, I wrote about bringing to the model risk management process. It's time to expand across enterprises to govern AI.

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  21. proslijedio/la je Tweet
    26. pro 2019.

    With Explainable AI, we can achieve the most powerful form of AI where machines and humans work in tandem, while helping companies satisfy upcoming regulations and reduce business risks using AI.

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