Fujitsu Limited and MoBagel Inc., a Silicon Valley AI/ML platform, announced that Fujitsu has provided AI technology from its Fujitsu Kozuchi service for use in Decanter AI.
Decanter AI is an AutoML platform developed by US-based AI startup MoBagel Inc. This new solution, designed to accelerate AI-driven predictions, will be available globally starting September 5, 2024, and is born out of a strategic partnership between the two companies established in December 2023.
By integrating Fujitsu’s AI services into Mobagel’s Decanter AI platform, the two companies have enabled the creation of advanced AI models that are both accurate and cost-effective while streamlining data analysis. With this solution, both companies will drive AI innovation and help more businesses and organizations achieve faster AI-driven transformation.
This technology speeds up AI predictions by data verification and anomaly scoring, algorithm recommendation systems, and deriving actionable insights through feature analysis.
The incorporation of Fujitsu Kozuchi AutoML and Wide Learning into Decanter AI enables the system to recommend an optimized machine learning model four times faster than was previously possible while maintaining accuracy.
Hideto (Ted) Okada, SVP and Head of Technology Strategy Unit, Fujitsu Limited, comments: “Fujitsu’s suite of advanced AI services provided through Fujitsu Kozuchi make it a leading player in the enterprise AI market. By providing Fujitsu’s expertise to innovative startups such as MoBagel, we are helping our customers rapidly adopt AI and contributing to developing new AI offerings.”
Adms Chung, CEO of MoBagel Inc., comments: “We are thrilled to partner with Fujitsu, as together we have introduced innovative AI technology that addresses the industry’s most critical challenges: accuracy, speed, and cost-efficiency in AI transformation. By integrating Fujitsu AutoML and Wide Learning into MoBagel’s AI platform, we improve the development and integration of AI models, making them more explainable and better aligned with business impacts. This collaboration enables businesses to create AI applications or AI agents faster, more reliably, and cost-effectively, bringing us closer to our vision of building AI together and beyond.”
In addition, feature analysis powered by Wide Learning™ technology generates actionable recommendations by making relationships easier to find through its use of natural language. This AI solution is highly adaptable, cost-effective, and can be deployed quickly.
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