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From lab to ledger: Six ways AI factories drive ROI in the AI era

PyKX open source, a year in review

Explore PyKX evolution: Open-source milestones, enhanced Python-first functionality, and future-ready data analytics tools

Structure, meet serendipity: Integrating structured and unstructured data for left- and right-brain decisions

Revolutionize decision-making: Combine structured data's precision with unstructured data's creativity for smarter insights

Five steps to an enterprise nervous system

A “nervous system” vision of enterprise technology is a fresh way of designing software systems, setting the stage for new ways of using data, making decisions, and applying AI to decision-making. Here are the five key elements you can use to create your own enterprise nervous system.

Webinar: Six best practices for optimizing trade execution

In our latest webinar, Leon Liang from ICE, Feargal Murphy from KX, and Cat Turley from ExeQution Analytics explore best practices for optimizing trade execution, sharing critical strategies and real-world solutions that leading firms are using to turn transaction cost analysis (TCA) into a powerful driver of trade performance and risk management.

Multimodal AI: Harnessing diverse data types for superior accuracy and contextual awareness

Traditional AI models are trained on a singular, ‘structural’ data type.mBut we live in a world where we constantly observe, absorb, and process the sights, sounds, and words around us. We should be able to harness the power of all that ‘unstructured’ data. This is the goal of multimodal AI.

AI factory 101: An AI-readiness assessment framework

This blog explores how taking a factory-like approach can help your AI program achieve greater outputs and shares how you can assess your organization’s AI readiness.