Tag: analytical sandbox
Shri Santhanam, Executive VP and GM of Experian's Global Analytics and Artificial Intelligence talks advanced analytics and AI in lending in recent podcast.
We are excited to announce that Experian has been selected as a Fintech Breakthrough Awards winner in the Consumer Lending Innovation category.
Big data is now in reach for financial institutions for all sizes amid the expansion of Experian's platform to drive faster, better decisions.
Day 2 of the annual conference covered topics ranging from alternative credit data and regulatory compliance to marketing analytics and fraud.
Experian wins for a second year in a row at coveted Fintech Breakthrough Award program, which received more than 3,500 nominations from across the globe.
An analytics environment can have enterprise-wide impact. Instant access to customer data, actionable analytics and intelligence tools drive the most value.
Any analytical environment is only as good as the data you put into it. Check these four key features when choosing the right one for your organization.
You want to use big data, but how do you make your analytics truly actionable to stay ahead of the competition? Using an analytical sandbox is the answer.
There are a lot of people talking about big data who are not fully leveraging the value of their data. How do you use data to innovate and stay competitive?
There are more than 220 million credit-active consumers. Hear from a data expert on ways analysts can explore these files and dig into big data with ease.
Risk analysts are insatiable consumers of big data who require better intelligence to develop market insights, evaluate risk and confirm business strategies. While every credit decision, risk assessment model or marketing forecast improves when it is based on better, faster and more current data, leveraging large data sets can be challenging and unproductive. That’s why Experian added a new functionality to its Analytical Sandbox, giving clients the flexibility they need to analyze big data efficiently. Experian’s Analytical Sandbox now utilizes H2O –an open source machine learning and deep learning platform that can model and predict with high accuracy billions of rows of high-dimensional data from multiple sources in various formats. Through machine learning and advanced predictive modeling, the platform enables Experian to better provide on-demand data insights that empowers analysts with high-quality intelligence to inform regional trends, provide consumer transactional insight or expose marketing opportunities. As a hosted service, Sandbox is offered as a plug-and-play, meaning no internal development is required. Clients can instantly access the data through a secure Web interface on their desktop, giving users access to powerful artificial and business intelligence tools from their own familiar applications. No special training is required. “AI monetizes data,” said SriSatish Ambati, CEO of H2O.ai. “Our partnership with Experian democratizes and delivers AI to the wider community of financial and risk analysts. Experian's analytics sandbox can now model and predict with high accuracy billions of rows of high-dimensional data in mere seconds.” Through H2O and the Experian Sandbox, machine learning and predictive analytics are giving risk managers from financial institutions of all sizes the ability to incorporate machine learning models into their own big data processing systems.
Experian integrated Cloudera Enterprise onto its cloud environment so clients can make innovative decisions in milliseconds with data as the core technology.