Unlocking alpha with AI
Welcome to the latest edition of KX Pulse!
In our lead story this week, our CEO Ashok Reddy explores how AI is emerging as a critical asset for capital markets firms, for whom achieving alpha has evolved from a goal to a strategic imperative.
Next, Michaela Woods identifies seven ways kdb+ is driving enhanced quantitative research.
Additionally, we feature a blog by Michael Ryaboy explaining how advancements in embedding models are revolutionizing AI search. Finally, Jack Kiernan kicks off a series focused on PyKX beginning with a post-trade analytics walkthrough focused on slippage.
Article: Show me the money: Unlocking alpha with AI in capital markets
AI is reshaping capital markets as the industry’s biggest players strive for more sophisticated alpha-generation strategies. In this article published on Forbes, KX CEO Ashok Reddy reflects on the evolving use cases of AI in finance and the importance of tempering innovation with responsible AI practices to ensure the technology delivers value securely, ethically, and sustainably.
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Blog: Seven ways kdb+ powers advanced quantitative research
kdb+ has long been used to address the complex challenges of quantitative research, providing unmatched performance in analytics and real-time data processing. In this article, Michaela Woods shares seven resources demonstrating how kdb+ and KX technology can be leveraged to solve various quantitative research problems.
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Blog: Matryoshka learning is revolutionizing AI search forever
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High-dimensional embeddings have always been a challenge for developers working in large-scale AI search — demanding massive storage and computational resources. But the game has changed. Michael Ryaboy explains how Matryoshka Representation Learning (MRL) and the new jina-embedding-v3 model are rewriting the rules.
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Blog: What’s new with KX Insights 1.11
Explore the latest updates to KX Insights, designed to improve usability, performance, and AI integration. From UI improvements to enhanced AI workflows, see how these new features make data analytics even more seamless.
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Blog: Analytic development using PyKX
Discover how PyKX is helping developers and analysts build more robust analytics solutions. This blog introduces part one of a series from Jack Kiernan on using PyKX to streamline development processes and create more flexible data solutions.
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Applications are still open for our Developer Advocacy Program, ‘Community KXperts’! This program is ideal for anyone passionate about sharing their knowledge on KX through blogs, articles, or other content. To apply, contact evangelism@kx.com or fill out this form.
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