Banking Information Loss Profiling 
CIO
APRIL 17, 2023
As consumers embrace ecommerce, digital banking, and online payment applications, the risk of fraud and other financial crimes has increased dramatically. fraud losses amounted to $5.9 fraud losses amounted to $5.9 And for every dollar lost to fraud, banks spend over $4 on recovery fees, legal fees, and other expenses.
CIO
MARCH 18, 2024
Given existing relationships with Webster Bank, that includes AWS and Microsoft. To find promising use cases, Webster Bank canvassed several dozen proposals and decided to start with three that could deliver tangible benefits. Unlike startups, however, established companies cannot risk the losses that might come from betting all on AI.
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Smart Data Collective
MAY 23, 2021
Fraudulent activity has always been a major issue for financial institutions such as banks and insurance companies. Despite extensive internal training and fraud detection manuals, they foresee a significant annual loss due to fraud cases. Client Risk Profile Categorization. Detection and prevention of fraud.
Smart Data Collective
MARCH 15, 2023
Cyber attackers are continuously devising new and sophisticated techniques to gain access to sensitive information, which underscores the need for strong cloud data security measures. Auth0 also provides features to manage user profiles, roles, and permissions, and to enforce security policies.
Smart Data Collective
OCTOBER 26, 2023
Cybersecurity, often known as information security or IT security, keeps information on the internet and within computer systems and networks secure against unauthorized users. The threat of cyber-attacks is expanding across all industries, affecting government agencies, banks, hospitals, and enterprises.
Ellennaylor
MAY 1, 2018
Last week, I gave a webinar for the Minnesota SCIP chapter entitled, Win/Loss Analysis: How to Capture and Keep the Business You Want. Check out my Win/Loss presentations to help boost your Win/loss program from my Slideshare presentations. They also won’t give a Win/Loss interview for free.
Smart Data Collective
SEPTEMBER 18, 2019
It takes a lot of information to develop a machine learning algorithm that has any real value. With so much data harvested in online gaming, you could suggest that AI and the industry are very much a match made in heaven, as Artificial Intelligence needs the information if it’s to work effectively. AI can learn, and this is key.
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