Why real-time data is crucial to risk scoring
Join our latest webinar discussing the essential role automation is playing in financial decision-making
Machine Learning Sandbox – Real-Time Risk Assessment
Download the sandbox today – https://info.talend.com/trial-talend-big-data-sandbox.html
Talend’s Big Data and Machine Learning Sandbox is a virtual environment that utilizes Docker containers to combine the Talend Real-time Big Data Platform with some sample scenarios that are pre-built and ready-to-run. This video demonstration shows how an online bank is trying to mitigate their exposure and risk by targeting credit offers to only those customers whom are deemed low risk and most likely to accept the credit offer.
Why Does Your Real-Time Data Architecture Break?
Developers of high-performance applications are constantly striving to deliver real-time analytics on massive data sets, but to do this, they must balance four requirements while remaining efficient:
● Low Latency: Are your queries fast enough?
● Fresh Data: Can you immediately act on data as it’s ingested?
● High Throughput: Can you instantly ingest massive volumes of data?
● High Concurrency: Can your database respond in milliseconds to thousands of simultaneous queries?
So why are even the most modern data stacks still struggling to deliver real time?
Most tools on the market excel at one or two of these four requirements – maybe even three, but covering all four requirements is incredibly challenging without spending a LOT of money. This is one reason implementing ML at scale is proving so difficult. Let’s take a look into each of these four requirements and why they are needed to deliver real-time data at scale efficiently.
Read the 4 Key Requirements blog: https://www.molecula.com/blog/4-key-requirements-to-real-time-analytics/
Contact a product expert for more info: https://bit.ly/3Ecjx7y
Subscribe for more content!
#FeatureBase #RealTimeData #DataAnalytics
How Real-Time Data Will Revolutionize Decision Making | Business of Data
Courtney Stanley sits down with Qlik CEO Mike Capone to discuss the implications of decision making with real-time data.
COVID dramatically increased every organization’s need for real-time data. As access to more real-time data becomes the norm, decision making will define the winners. In this session, Mike Capone will discuss how leaders are reimagining the way decisions are being made across their organizations, and how collaboration around data is crucial to driving success.
REAL-TIME RISK | Risk Assessment | Rivial Data Security
Real-Time Risk is changing the landscape of IT risk assessments. We’re doing away with one-time risk assessments that simply check the compliance box and replacing it with ON-GOING RISK MONITORING that helps you make actionable decisions based on real data.