There is a quest for greater effectiveness and efficiency through the use of new technologies like machine learning, while needing to secure and localize data and protect privacy. This paper presents a way of solving these policy objectives elegantly by leapfrogging the current system with a new design for the AML system.
An insightful webinar on getting to grips with data analytics and nurturing data-driven cultures.
This research paper, produced by Finextra, discusses how to approach AI, ownership, challenges, and potential applications
AI presents a tremendous opportunity in the Financial Services indsutry, but first you must start with Data. This brief outlines the importance of a Data pipeline and storage.
CTO Parviz Peiravi shares the emerging trends and tech as a result of COVID-19.
Why having the right data architecture is essential for financial businesses
This article walks through data prep, model development and the challenges of operationalizing AI.
This solution provides a strarting point for developing a simplified data science infrastructure.
We explain the use cases of ML in financial services and look at how Onfido’s ML technology can help.
Real time data analytics tools are the lifeblood of Financial Services. Multiple STAC-M3* benchmark records were set using Intel® Optane™ SSD drives.
Discover how you can process and analyze data more efficiently
This brief highlights the analytics performance that can be achieved by moving data into memory.
A large financial organization removed transaction bottlenecks and accelerated critical decision making while reducing it’s storage footprint and related costs.
See the key AI trends that came out of the Innovate Finance Global Summit.
See what you missed from the conference.
Substantial performance improvements are possible for xVA pricing and Greeks applications
An intro to FPGAs and how they can help the Financial Services Industry.
With their low latency and high flexibility, Intel® FPGAs play an essential part in today’s data-driven banking.
With regulatory changes set to make their presence felt in the financial sector, FPGAs represent a potential step change in performance.
NoSQL databases enable deployment of various applications and services to get set up quickly and scale-out fast.
Harnessing silicon designed specifically for AI, end-to-end solutions and tools that enable customers to quickly deploy and scale up.
See how Intel®-based solutions, delivered through our partners, can help financial institutions to deliver next generation services and new value to their customers.