DataRobot has partnered with Kx to offer financial institutions and IoT-driven industries a comprehensive, scalable high-performance solution for applying AI to time series data. By integrating DataRobot's Enterprise AI Platform with the Kx database platform kdb+the world's fastest in-memory time series databasethe partnership, which was unveiled during the Kx Innovation Day at Aston Martin Red Bull Racing headquarters, allows consumers of market data to quickly generate actionable insights for agile, strategic business decisions.

In the AI-driven era, organizations everywhere need to develop strategies for implementing powerful machine learning models in order to stay competitive. This pressure is particularly acute in the securities industry, where financial institutions are constantly seeking ways to use cutting-edge technologies to accelerate research, find competitive advantage in trading, improve alpha generation, and manage risk. However, there are several hurdles when it comes to successfully deploying AI solutions. For instance:

- The sheer volume of financial market data, which makes searching for signals and developing predictive models extremely challenging and time-consuming;

- A reliance on manual, inefficient processes to build models for highly volatile and time-critical applications; and

- Fragmented, distributed data sources across tools, teams, and platforms, making it difficult to source and combine data for use in the development and deployment of AI.

By integrating kdb+ with DataRobot's Enterprise AI Platformwhich features an Automated Time Series solution that automates every step of the time-aware machine learning processmarket participants can solve these challenges much more effectively and quickly. The integration results in a single system to easily prepare, build, deploy, monitor, and manage sophisticated machine learning models and AI applications across asset classes and use cases.

Financial institutions and IoT users can combine the flexibility and power of the kdb+ database to build sophisticated data acquisition and integration strategies that integrate with DataRobot's vast array of powerful time-aware machine learning algorithms, eliminating the barriers to build, scale, and integrate AI-driven workflows. As a result, the speed of iteration increases greatly and time-to-value for AI applications is reduced dramatically, allowing firms to be much more effective, productive, and agile. Such...

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