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KX and DataArt Partner to Drive Performance of Cloud-Based Data Management, ML and AI

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KX, maker of the KDB.AI vector database, and DataArt, a global software engineering firm, have made a strategic partnership to help customers master the challenges of migrating real-time analytics, machine learning (ML), and artificial intelligence (AI) workloads to the AWS cloud. The companies say their alliance offers a solution for firms looking to upgrade their data platforms, improve the aggregation, distribution, and governance of market and reference data, and supercharge financial data management capabilities.

Addressing the challenges of ballooning costs and lagging performance of data-intensive applications, DataArt’s experience in software engineering will enhance KX’s cloud-native, time series, and vector database technology, delivering, according to the partnership, up to 100-times performance at a tenth of the cost.

The partnership’s initial focus will be on capital markets and financial services, and will use the strengths of AWS – DataArt is an AWS advanced consulting partner, and KX recently released AWS FinSpace managed service KDB Insights – to enable financial services clients to rapidly deploy full-scale KDB applications for market data processing, analytics, and AI.

“Our extensive experience in cloud migration and transformation, coupled with our adept software engineers, will help KX clients innovate and deliver on their data and analytics swiftly, and at a fraction of the typical cost,” says Sean Maloy, AWS alliance sales lead at DataArt.

James Corcoran, chief growth officer at KX, adds: “Our partnership with DataArt means customers can be provided with the infrastructure they need to fully exploit the capabilities of AI and ML, while addressing their most pressing challenges.”

DataArt offers a range of services, including assessment and migration planning, cloud enablement services, custom software engineering and development, legacy modernisation, AI and ML, data and analytics consulting services.

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