In a recent webinar, hosted by Prabhu Ramamoorthy from NVIDIA, our CEO, Ashok Reddy, joined finance industry leaders to discuss the transformative impact of next-gen analytics and AI on capital markets.
The session provided valuable insights for capital market firms striving to become AI-first enterprises1. It covered how leaders can use AI to create differentiation, improving trade research (ideation), trade execution, and risk management at a price-to-performance that makes sense.
Watch the full session or browse the key takeaways below.
Key takeaways
Take a holistic approach to AI
The session explored the opportunity of becoming an “AI-first” company to unlock differentiation. While generative AI has caused significant buzz, the true value lies in leveraging the full spectrum of AI capabilities, including traditional, data-driven AI. This holistic approach, combined with the utilization of all available data sources–structured and unstructured—enables firms to unlock deeper insights and drive innovation.
Ensure you have AI-ready data
AI-ready data, which is relevant, representative, trustworthy, bias-free, clean, and in vector form, is crucial for training accurate and efficient AI models. This high-quality data enables firms to build reliable AI applications that deliver tangible business value.
Manage risk and compliance with AI
Explainable AI models are crucial for transparency and auditability, mitigating risks associated with black-box AI systems. AI can also be instrumental in proactively identifying and alleviating risks.
Focus on high-performing technology for maximum ROI
To maximize ROI and generate enterprise value, firms should focus on high-performance technologies. These technologies not only enable greater efficiency but also accelerate model development, ensuring faster time-to-market and more accurate, reliable AI solutions. By leveraging optimized hardware and software, organizations can minimize hallucinations and drive innovation through real-time analytics, advanced AI/ML capabilities, and accelerated processing, ensuring the delivery of tangible business results that go beyond the limitations of early, generative AI-only offerings.
Build ‘AI factories’
An ‘AI factory’ is a model for adopting AI that systematizes the culture, processes, and tools required to apply AI to automate processes, improve decision making, and differentiate your services. It involves setting up data pipelines to process both structured data (transaction, market and reference data, etc.) and unstructured data (analyst reports, audio, video, news articles, etc.). You then use that data to develop and train advanced, accurate models with continuous experimentation. This allows you to build world class analytics, search and recommendation applications.
Accelerate AI with NVIDIA’s Grace Hopper superchip
Using a combination of KX and NVIDIA’s Grace Hopper superchip enables accelerated AI computing. The webinar highlights the impressive results from a recent KX NVIDIA AI Labs project where we processed 2 million documents in 80 minutes vs the 40 hours it took with other technologies.
These results are achieved by optimizing CPU GPU usage, combined with the processing efficiency of KX, which vastly reduces overall memory and energy consumption. This enables faster AI model training and deployment. The integration of KX and NVIDIA technologies ensures efficient and sustainable AI solutions.
Identify patterns in market data
By analyzing the order book and balance, AI can reveal correlations and confounders that impact market dynamics. Advanced AI techniques, such as graph networks and attention models, can reveal hidden patterns in market data to understand liquidity and enhance market efficiency.
Next steps
The webinar provided valuable insights into the transformative potential of AI in capital markets. By adopting a holistic AI approach, leveraging high-performance technologies, ensuring data readiness, and collaborating with industry leaders, firms can navigate the complex landscape of modern finance and unlock new opportunities for growth and innovation.
KX and NVIDIA are committed to supporting firms in their journey to become AI-first enterprises. They offer a joint AI Factory Lab as a free service for customers to develop their own differentiated use cases, providing access to expertise, tools, and resources. To learn more and register your interest in the AI Lab, click here.
- An AI-first enterprise is an organization that strategically prioritizes artificial intelligence (AI) throughout its operations, making AI a core component of its culture, infrastructure, and decision-making processes to drive innovation and competitive advantage.
