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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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The Award Winning Formula: How Cloudera Empowered OCBC With Trusted Data To Unlock Business Value from AI

Cloudera

Recently, Cloudera, alongside OCBC, were named winners in the“ Best Big Data and Analytics Infrastructure Implementation ” category at The Asian Banker’s Financial Technology Innovation Awards 2024. The Role of AI in Banking 2024 continues to witness the rapid development of AI and its applications, with GenAI leading the charge.

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Digital listening reveals 3 leading innovation drivers

CIO

In six short months, ChatGPT propelled artificial intelligence (AI) into the minds and imaginations of the masses more than any other development since the term “AI” was coined in 1956. adult web users surveyed have used one or more generative AI tools. At the same time, ongoing challenges continue to be voiced online.

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Advancing AI: The emergence of a modern information lifecycle

CIO

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. And it does so while accommodating the increasing emphasis on security, governance, and environmental sustainability.

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Improve Your Business: Discover Interesting Software Trends for Upcoming Years

MagmaLabs

Unlike an app, it loads rapidly, doesn’t eat into the storage space of devices, delivers a much better browsing experience, and users can access the app with just one click. Popular applications for AI and machine learning include improving customer experience and generating customer insights, as well as the newcomer of generative AI.

Trends 52
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Improve Your Business: Discover Interesting Software Trends for Upcoming Years

MagmaLabs

Unlike an app, it loads rapidly, doesn’t eat into the storage space of devices, delivers a much better browsing experience, and users can access the app with just one click. Popular applications for AI and machine learning include improving customer experience and generating customer insights, as well as the newcomer of generative AI.

Trends 52
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Designing generative AI workloads for resilience

AWS Machine Learning - AI

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. Although they’re important, they are a functional aspect of the system and don’t directly affect resilience.