KX,
a vector and time-series data management firm, and Engine AI, an end-to-end
data analytics platform, have announced a strategic partnership. This alliance
aims to deliver a native, generative AI platform tailored for clients within
the global financial services sector.
The
business landscape is driven by the escalating volume, velocity, and complexity
of data. Firms are increasingly pressured to harness the potential of
generative AI. The partnership between KX and Engine AI aims to allow
organizations to meet these challenges head-on.
Farhang Mehregani, CEO, Engine AI, Source: LinkedIn
By
leveraging the capabilities of the KDB.AI vector database and Engine AI’s
ability in extracting actionable insights from extensive multi-source data,
the collaboration enables the development of scalable, enterprise-grade
generative AI applications.
Farhang
Mehregani, CEO of Engine AI, commented: “We empower our clients to
monetize the value of their data with AI-native data analytics applications.
Our powerful, open, end-to-end enterprise platform and intuitive Data Analytics
Co-pilot are engineered to unlock the full potential of AI and data analytics. KX offers vector and
time-series database capabilities, making them the ideal partner for the
financial sector.”
Ashok Reddy, CEO, KX, Source: LinkedIn
The
partnership aims to transform the approach organizations take toward trading
decision-making and execution performance. Offering support for advanced use
cases such as similarity search, recommendation systems, and pattern matching,
the collaboration aims to enhance user engagement, minimize uncertainty and
risk, and expedite time to market.
Ashok
Reddy, CEO of KX, noted: “KDB.AI brings time and situational awareness to
generative AI applications, while providing a superior developer experience.
These capabilities, combined with Engine AI’s expertise in application
delivery, is a game-changer for retail and institutional clients looking to
benefit from the transformative potential of generative AI. Together, we
accelerate our clients’ abilities to address the most complex, high-frequency
Financial Services use cases, significantly reducing time to insight from large
data.”
We’ve
partnered with @engine__ai
on an AI-powered platform supporting the development of scalable,
enterprise-grade generative AI applications.Read how
this will revolutionize how firms approach trading decision-making and
execution performance. https://t.co/aio2UKT6zb—
KX (@kxsystems) November
22, 2023
Features
of KDB.AI
KDB.AI
offers search capabilities, allowing developers to integrate hybrid similarity,
fuzzy, temporal, and real-time search functionalities into their AI-driven
applications. It is designed to handle high-speed, time-series data and
multi-mode query data processing. Users in the business sector have the
capability to perform searches on real-time financial market
data using natural language queries.
Moreover,
KDB.AI integrates with popular LLMs and machine learning workflows and tools,
including LangChain and ChatGPT.
Its native support for Python and RESTful APIs ensures that developers can
perform common operations using their preferred applications and languages.
KX,
a vector and time-series data management firm, and Engine AI, an end-to-end
data analytics platform, have announced a strategic partnership. This alliance
aims to deliver a native, generative AI platform tailored for clients within
the global financial services sector.
The
business landscape is driven by the escalating volume, velocity, and complexity
of data. Firms are increasingly pressured to harness the potential of
generative AI. The partnership between KX and Engine AI aims to allow
organizations to meet these challenges head-on.
Farhang Mehregani, CEO, Engine AI, Source: LinkedIn
By
leveraging the capabilities of the KDB.AI vector database and Engine AI’s
ability in extracting actionable insights from extensive multi-source data,
the collaboration enables the development of scalable, enterprise-grade
generative AI applications.
Farhang
Mehregani, CEO of Engine AI, commented: “We empower our clients to
monetize the value of their data with AI-native data analytics applications.
Our powerful, open, end-to-end enterprise platform and intuitive Data Analytics
Co-pilot are engineered to unlock the full potential of AI and data analytics. KX offers vector and
time-series database capabilities, making them the ideal partner for the
financial sector.”
Ashok Reddy, CEO, KX, Source: LinkedIn
The
partnership aims to transform the approach organizations take toward trading
decision-making and execution performance. Offering support for advanced use
cases such as similarity search, recommendation systems, and pattern matching,
the collaboration aims to enhance user engagement, minimize uncertainty and
risk, and expedite time to market.
Ashok
Reddy, CEO of KX, noted: “KDB.AI brings time and situational awareness to
generative AI applications, while providing a superior developer experience.
These capabilities, combined with Engine AI’s expertise in application
delivery, is a game-changer for retail and institutional clients looking to
benefit from the transformative potential of generative AI. Together, we
accelerate our clients’ abilities to address the most complex, high-frequency
Financial Services use cases, significantly reducing time to insight from large
data.”
We’ve
partnered with @engine__ai
on an AI-powered platform supporting the development of scalable,
enterprise-grade generative AI applications.Read how
this will revolutionize how firms approach trading decision-making and
execution performance. https://t.co/aio2UKT6zb—
KX (@kxsystems) November
22, 2023
Features
of KDB.AI
KDB.AI
offers search capabilities, allowing developers to integrate hybrid similarity,
fuzzy, temporal, and real-time search functionalities into their AI-driven
applications. It is designed to handle high-speed, time-series data and
multi-mode query data processing. Users in the business sector have the
capability to perform searches on real-time financial market
data using natural language queries.
Moreover,
KDB.AI integrates with popular LLMs and machine learning workflows and tools,
including LangChain and ChatGPT.
Its native support for Python and RESTful APIs ensures that developers can
perform common operations using their preferred applications and languages.
