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Ethics of generative AI: To be innovative, you must first be trustworthy

CIO

They should also implement verification systems that help detect and stop the spread of fake content and misinformation generated by AI. This means integrating privacy features into the GenAI system from the outset rather than as an afterthought. Second, adopt a privacy-by-design approach. There should be no barriers to opting out.

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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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CIOs eager to scale AI despite difficulty demonstrating ROI, survey finds

CIO

This transition has propelled AI and machine learning to the forefront, with 51% of CIOs identifying these technologies as among their most urgent priorities, alongside cybersecurity, highlighting their crucial role in driving organizational success. Today’s CIOs are working in a tornado of innovation.

Survey 295
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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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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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Generative AI: the Shortcut to Digital Modernisation

CIO

As transformation is an ongoing process, enterprises look to innovations and cutting-edge technologies to fuel further growth and open more opportunities. Compliance with best practices: AI can verify compliance with coding best practices and recommend optimizations to enhance performance.

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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.