All eyes are on the transformative power of AI. Financial institutions are already applying or looking to apply AI to a variety of processes, including billing, data analysis, algorithmic trading, quant research, fraud detection, forecasting and more.
AI adoption is expected to accelerate, with recent research indicating significant growth in the AI market within FinTech, particularly amongst banking institutions.
KDB.AI: A highly-performant, scalable, vector database
The secret behind their success to date is having the right partners within the AI ecosystem that foster efficiency, innovation, and scalability. Earlier this month, FinTech Global released its fourth annual AIFinTech100 list, we’re pleased to announce that KDB.AI has been included, recognizing our contributions to AI technologies within the financial sector. This inclusion highlights our work as a performant and scalable vector database for time-oriented generative AI and our commitment to capital markets.
Richard Sachar, Director of FinTech Global, stated, “Generative AI and Artificial Intelligence are unlocking opportunities in the financial services sector to not only stay ahead of the competition but also to enhance efficiencies and offer personalized products to clients. This year’s AIFinTech100 list showcases some of the brightest innovators developing AI applications in areas such as banking, insurance, compliance, customer experience, investment & trading, and payments.”
Building a transformative GenAI ecosystem within capital markets
For 30 years, we’ve witnessed how Wall Street’s titans are optimizing value from their data, using GenAI for equity asset trading and market data analysis. Our core engine, kdb+, is the foundation for all KX products, and when paired with KDB.AI, capital markets organizations can trade, manage risk, analyze portfolios faster and more efficiently, and deliver 10 to 100x more data to quantitative research, AI, and data science workflows.
We’re uniquely positioned to support capital markets by offering technology that focuses on:
- Top-tier performance and accuracy: Capital markets firms are data intensive and time sensitive. Slow data flow jeopardizes their ability to make sound decisions and automated action quickly, which is critical for optimizing trades and avoiding regulatory breaches. The KDB+ engine has been independently recognized as the fastest time series vector-native database as shown in STAC-M3 benchmarks.
- Multi-Modal Data Handling: KDB.AI stores and processes both structured and unstructured data types. Most firms will have high volumes of unstructured data, including recorded customer interactions, quarterly earnings calls, news stories, and social media posts. The ability to process diverse and complex data types and fuse them with structured data sources unlocks new depths of analysis and insights.
- Data volume and velocity: Many financial institutions struggle with how to scale AI applications. KDB.AI is built to address rapid data growth and maximize insights from traditional and new markets, handling billions of vector searches across diverse enterprise datasets.
- Native support for time analytics: KDB.AI tracks data behaviors in real time, puts them in context of time windows, and makes more relevant recommendations. Time-based analytics are crucial for financial services as it detects anomalies and predicts financial-specific trends related to tick-data and stock market movement.
Ashok Reddy, CEO of KX, commented, “Our technology was purpose-built to serve financial services and capital markets customers. Presently, almost all of the 40 biggest investment banks and hedge funds are customers. While our global customer base expands outside of capital markets, the financial services industry is our bread and butter. This recognition from AIFinTech100 reflects our team’s dedication to advancing AI in financial services. We’re excited about the future and committed to driving further innovation in the industry.”
For a full list of the AIFinTech100 and detailed information about each company, please visit www.AIFinTech100.com.
