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[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”] Named a Cool Vendor by Gartner Was Recognized in the Gartner September 2020 Cool Vendors in Enterprise AI Governance, a pioneer of AI assurance and monitoring solutions, announced that it has been recognized in the Cool Vendors in Enterprise AI Governance by Gartner1.

The report includes the following recommendation: “Build trust in AI solutions by applying an explainable AI (XAI) approach to holistically address aspects of AI models such as trust, transparency, bias mitigation, explainability, accountability, privacy and regulatory compliance.”

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“We consider our recognition in the Cool Vendors in Enterprise AI Governance by Gartner, to be a confirmation of our mission to empower AI practitioners with the visibility and control to efficiently and responsibly scale their AI operations; as well as a recognition of our unique practical approach that already delivers benefits to customers globally, across verticals and use cases: E-commerce, Customer Lifetime Value (CLV), Fraud Detection, and more,” said Ofer Razon, CEO & Co-Founder of

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“Our solution leverages AI for AI to make it possible to stay on top of all the different changes that impact models. We deliver practical capabilities to extract easily understandable insights about the machine learning process, at the right time, and to power a virtuous cycle of continuous improvements – from validation to production,” added Oren Razon, CTO & Co-Founder at

The solution integrates seamlessly, using API and SDKs, and is platform-agnostic, supporting any ML platform,  i.e.: AWS SageMaker, Kubeflow, Azure ML, DataRobot, or custom implementations.

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