Master the data. Master the market.
HSBC leveraged AI to create a new financial product, the AI Powered US Equity Index (AiPEX), designed to identify high-growth stocks by analyzing vast amounts of structured and unstructured data beyond human capacity. This initiative has been highly successful, generating over $2 billion in sales and enabling AiPEX to outperform the S&P 500 by 123% over the last decade.
The Business
HSBC leveraged AI to create a new financial product, the AI Powered US Equity Index (AiPEX), designed to identify high-growth stocks by analyzing vast amounts of structured and unstructured data beyond human capacity. This initiative has been highly successful, generating over $2 billion in sales and enabling AiPEX to outperform the S&P 500 by 123% over the last decade.
Before AI
HSBC relied on traditional fundamental analysis, which struggled to process the vast and growing volume of unstructured data and natural language text to identify nuanced market insights for investment decisions.
What Changed
HSBC partnered with EquBot, leveraging IBM Watson AI (Discovery, Natural Language Understanding, Studio) to develop the AiPEX index. This AI system now scans and analyzes 20 years of structured and unstructured data, including text from earnings calls and social media, to identify companies with high growth potential for inclusion in the index.
The Result
HSBC realized over USD 2 billion in sales linked to its AI-powered AiPEX index, which also outperformed the S&P 500 by 123% over the last 10 years.
Why this matters
AI for Enhanced Investment Strategy and New Data-Driven Product Creation
The challenge of sifting through overwhelming volumes of data, especially unstructured text, is universal for businesses across sectors. HSBC's use of AI demonstrates how sophisticated models can extract actionable insights from data beyond human capacity, leading to the creation of innovative, data-driven products. This approach allows even established industries to redefine their offerings and cater to new market segments with advanced analytics. For smaller firms, this highlights the potential to build niche AI-powered services or tools that can democratize access to advanced analytical capabilities. By leveraging readily available AI platforms (not necessarily enterprise-grade like Watson, but similar in principle), businesses can develop proprietary algorithms to identify trends, predict outcomes, or automate complex decision-making processes, thereby creating competitive advantages or entirely new revenue streams by productizing insights.
Technology Used
Used for:
Source
Results are reported by the identified source/company and have not necessarily been independently verified by AI YAI YAI.
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