Iguazio listed as Sample Vendor in Five 2021 Gartner Hype Cycles
Banks, insurance companies and trading firms are in the midst of a data-driven revolution, and those that leverage AI intelligently will win. From mitigating risks proactively, to creating personalized customer services, we help Financial Services harness the power of AI to create differentiation and transform their bottom line.
The Iguazio Data Science Platform for Financial Services enables companies to develop, deploy and manage AI applications, transforming AI projects into real-world business outcomes. With Iguazio, organizations can build and run AI models in real time, deploy them anywhere (multi-cloud, VPC or on-prem), and bring to life their most ambitious data-driven strategies for differentiation and risk mitigation.
Proactively detect threats before they occur, prevent fraud, money laundering, cyber threats and other risks to your business by understanding patterns of illicit behavior and acting to proactively prevent risks.
Give your customers what they want - The right offer at the right time - Using advanced AI algorithms that take into account billions of data points, in real-time.
Digest data at scale, detect anomalies in real-time and collaborate securely on AI algorithms within your organization to save precious milliseconds and get the best results.
Predict customer profitability or risk, detect system failures before they manifest, model and optimize asset allocation.
“With Iguazio’s Data Science Platform, we built a scalable and reliable system which adapts to new threats and enables us to prevent fraud with minimum false positives."
VP Corporate Security and Global IT Operations
Digital payment platform Payoneer serves 4 million customers across over 200 countries. So naturally fraud is a major concern. With the Iguazio Data Science Platform, Payoneer overcomes the challenge of proactively detecting fraud within complex networks, with sophisticated algorithms tracking multiple parameters. The financial firm serves these complex algorithms against fresh data continuously, in real-time, detecting patterns of suspicious behavior and acting upon them before they materialize.