How do you drive AI ROI?

Welcome to the latest edition of KX Pulse!

In our lead story, Mark Palmer explores the best practices you can take to ensure your AI investments drive ROI. We also share insights from our CEO, Ashok Reddy , who joined 英伟达 on a webinar to discuss next-gen analytics in capital markets.

Additionally, we consider the growing need for advanced analytics to manage risk in financial markets and share a New York Times article that asks the question: Could AI-generated outputs ultimately harm the future of AI?? ?

For the developers among you who want to deepen your understanding of kdb+, we have a new course from Michaela Woods . Plus, don't miss our latest blog exploring the challenge of integrating modern languages such as Python with legacy tools like q.??

Blog: Six ways AI factories drive ROI?

AI is transforming industries, but how do you ensure that your investments actually generate value? This blog delves into the concept of AI factories — structured frameworks designed to maximize AI's return on investment (ROI).?

Key takeaways:?

• Defining AI factories: How structured systems generate consistent AI outcomes

• ROI insights: How organizations can track and measure the return on their AI projects

• Scalability: Strategies to expand AI use cases while maintaining quality and efficiency

Read the full blog?

Webinar: Next-gen analytics in capital markets?

In a recent webinar hosted by NVIDIA, KX CEO Ashok Reddy joined finance industry leaders to discuss the transformative impact of next-gen analytics and AI on capital markets. ?

Key Takeaways: ?

• Take a comprehensive approach to AI: Leveraging both traditional and generative AI techniques with all data sources to gain deeper insights?

• Use high-quality, AI-ready data: Ensuring data is clean, trustworthy, and in vector format for accurate AI model training?

• Invest in high-performing technologies: Utilizing high-performance technologies like KX or NVIDIA’s Grace Hopper superchip can accelerate AI computing and efficiency for better ROI?

Watch the webinar here?

?Blog: Modernizing infrastructures that mix Python and q?

As data systems evolve, many organizations face the challenge of integrating languages like Python with q. This blog outlines how to bridge the gap between these technologies to ensure efficient, scalable, and forward-thinking infrastructures.?

Key takeaways:?

• Seamless integration: How to ensure smooth data exchange between Python and q

• Scalability: Enhancing performance while managing increased data loads

• Future-proofing: Strategies for ongoing adaptation in a hybrid language environment

Read the full blog?

Blog: Navigating market uncertainty with advanced analytics

In today's volatile markets, proactively managing risk is more crucial than ever. This blog explores how advanced analytics can help capital markets firms stay ahead of market uncertainties by enabling better forecasting, scenario planning, and real-time insights.

Key takeaways:

• Real-time risk monitoring: Leverage real-time data to continuously assess risk factors and make informed decisions in the moment, reducing exposure to sudden market shifts
• Advanced scenario analysis: Use advanced analytics to model market scenarios, enabling more informed decision-making in unpredictable environments
• Future of risk management: Explore how evolving technologies like AI and machine learning are offering deeper insights and more proactive strategies

Read the full blog

?Course: kdb+ architecture course?

For those looking to deepen their understanding of kdb+, our comprehensive architecture course is now available on the KX Learning Hub. This course covers everything from the basics of kdb+ infrastructure to advanced architecture, empowering you to optimize your data solutions.?

Key takeaways:?

• Real-time architecture setup: Learn how to configure real-time data capture and streaming analytics with kdb+
• Custom end-of-day processes: Implement custom processes for efficient historical data management and retrieval
• Beginner-friendly course: No prior kdb+/q experience needed; includes quizzes, resources, and a Certificate of Achievement

Start learning now?

Article: When AI’s output threatens AI itself?

In a recent New York Times article, a paradoxical question arises: could AI-generated outputs ultimately harm the future of AI? This thought-provoking piece explores the risks and challenges facing AI development today.?

Key takeaways:?

• The reliability challenge: Discover why AI’s reliance on its own outputs can lead to unpredictable consequences

• Ethical implications: The article explores the moral and societal risks associated with unchecked AI growth

• Future of AI development: Learn how AI experts are navigating these risks to ensure AI continues to advance responsibly

?Read the full story?

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 [email protected] or fill out this form. ?

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