New York, NY – Arthur, the AI Performance Company, was listed as a sample vendor for both AI Governance and Responsible AI in 2022 Gartner Hype Cycle Report for Data and Analytics Governance.
This Gartner report highlights how "data and analytics leaders must understand the hype and progress of governance practice and technology innovations so their adoption delivers organizational value at the right time."
“With AI now delivering value in practical enterprise application, data and analytics leaders see that scaling AI without governance is ineffective and dangerous,” the Gartner report states.
As production AI continues to drive meaningful business value, Arthur is working with top enterprises to monitor, measure, and improve ML to drive better, more responsible results. Arthur is deployed at leading Fortune 100 enterprises across financial services, healthcare, retail, and technology, working together to accelerate MLOps and optimize for accuracy, explainability, and fairness.
“Responsible AI means a deliberate approach in many directions at once,” the Gartner report states. “Data science’s responsibility to deliver unbiased, trusted and ethical AI is just the tip of the iceberg. Responsible AI helps AI participants develop, implement, utilize and resolve the dilemmas they face.”
“We’re working with data scientists, product owners, and business leaders to ensure that their ML models are delivering accurate, transparent, and fair results—not only for the businesses themselves, but for the people they serve." - Adam Wenchel, Arthur Co-Founder and CEO
The report underscores the importance of model monitoring, explainability, and fairness in building truly AI-native enterprises. “Arthur is proud to be deployed across business-critical use cases at leading enterprises at an especially essential time in the AI industry’s maturity,” said Adam Wenchel, Co-Founder and CEO of Arthur. “We’re working with data scientists, product owners, and business leaders to ensure that their ML models are delivering accurate, transparent, and fair results—not only for the businesses themselves, but for the people they serve.”
As more and more businesses are turning to ML capabilities like Computer Vision and Natural Language Processing to solve key challenges, Arthur is the only AI Performance solution for CV and the industry leader in NLP performance management—in addition to exclusive support for multi-class, multi-label, and regression tabular models. Arthur is model-agnostic and platform-agnostic, providing a centralized dashboard and a flexible query API that allow enterprises to democratize ML performance and tie it directly to business KPIs.
Earlier this year, Arthur was mentioned in 2022 Gartner Innovation Insight for Bias Detection/Mitigation, Explainable AI and Interpretable AI report [2], and in Infographic: Heat Index: Gartner’s 2021 Connecting Hot, Hype and Cool [3]. Arthur was named a 2021 Gartner Cool Vendor in AI Governance and Responsible AI [4].
If you are a Gartner client you can access the 2022 Hype Cycle report here.
Learn more about Arthur and sign up for a demo at www.arthur.ai.
References
[1] Gartner, “Hype Cycle for Artificial Intelligence, 2021”, Shubhangi Vashisth, Svetlana Sicular, 29 July 2021
[2] Gartner, “Innovation Insight for Bias Detection/Mitigation, Explainable AI and Interpretable AI”, Van Baker, Svetlana Sicular, Avivah Litan, Erick Brethenoux, 9 February 2022
[3] Gartner, “Infographic: Gartner’s 2021 Heat Index: Connecting Hot, Hype and Cool”, Michael Woodbridge, Thomas Bittman, Sam Olyaei, Rita Sallam, 16 February 2022
[4] Gartner, “Cool Vendors™ in AI Governance and Responsible AI”, Svetlana Sicular, Moutusi Sau, et al, 10 June 2021
Disclaimer:
GARTNER, COOL VENDORS and HYPE CYCLE are a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Photo by Milad Fakurian on Unsplash
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