Remove AI Remove AI Development Remove Data Quality Remove Generative AI
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Navigating the Misinformation Era: The Case for Data-Centric Generative AI

Unite.AI

In the digital era, misinformation has emerged as a formidable challenge, especially in the field of Artificial Intelligence (AI). As generative AI models become increasingly integral to content creation and decision-making, they often rely on open-source databases like Wikipedia for foundational knowledge.

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Chuck Ros, SoftServe: Delivering transformative AI solutions responsibly

AI News

As the world embraces the transformative potential of AI, SoftServe is at the forefront of developing cutting-edge AI solutions while prioritising responsible deployment. ” Recognising the critical concern of ethical AI development, Ros stressed the significance of human oversight throughout the entire process.

Big Data 237
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Generative AI in the Enterprise

O'Reilly Media

Generative AI has been the biggest technology story of 2023. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. Many AI adopters are still in the early stages. What’s the reality?

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The importance of data ingestion and integration for enterprise AI

IBM Journey to AI blog

The emergence of generative AI prompted several prominent companies to restrict its use because of the mishandling of sensitive internal data. According to CNN, some companies imposed internal bans on generative AI tools while they seek to better understand the technology and many have also blocked the use of internal ChatGPT.

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The risks and limitations of AI in insurance

IBM Journey to AI blog

Artificial intelligence (AI) is polarizing. In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. It excites the futurist and engenders trepidation in the conservative.

AI 172
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning Blog

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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AI-Fueled Productivity: Generative AI Opens New Era of Efficiency Across Industries

NVIDIA

This set off demand for generative AI applications that help businesses become more efficient, from providing consumers with answers to their questions to accelerating the work of researchers as they seek scientific breakthroughs, and much, much more. The engine driving generative AI is accelerated computing.