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How Machine Learning is Used in Finance and Banking

Exadel

Sophisticated, intelligent security systems and streamlined customer services are keys to business success. The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry.

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IBM’s watsonx.governance takes aim at AI auditing

CIO

IBM is betting big on its toolkit for monitoring generative AI and machine learning models, dubbed watsonx.governance , to take on rivals and position the offering as a top AI governance product, according to a senior executive at IBM. watsonx.governance is a toolkit for governing generative AI and machine learning models.

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Why you should care about debugging machine learning models

O'Reilly Media - Data

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. 1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. Model debugging is an emergent discipline focused on finding and fixing problems in ML systems.

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10 most in-demand generative AI skills

CIO

These skills include expertise in areas such as text preprocessing, tokenization, topic modeling, stop word removal, text classification, keyword extraction, speech tagging, sentiment analysis, text generation, emotion analysis, language modeling, and much more.

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Protect AI lands a $13.5M investment to harden AI projects from attack

TechCrunch

Seeking to bring greater security to AI systems, Protect AI today raised $13.5 Protect AI claims to be one of the few security companies focused entirely on developing tools to defend AI systems and machine learning models from exploits. A 2018 GitHub analysis found that there were more than 2.5

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Tiger Global leads $34M investment into Unit21, a no-code fraud prevention platform

TechCrunch

F ormer Affirm product manager Trisha Kothari and C larence Chio founded Unit21 in 2018 with the goal of giving risk, compliance and fraud teams a way to fight financial crime via a “secure, integrated, no-code platform.” . According to Compliance Week (citing analysis by Fenergo), f inancial institutions were hit with an estimated $10.4

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Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

Cloudera

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. Implementing a modern data architecture is vital to compliance, and those banks that can underpin compliance with such an architecture will be well prepared.