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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

He also cautioned against rushing to deploy generative AI solutions without properly assessing feasibility and business viability, stating, “We need to pay at least as much attention to whether it should be built as we do to whether it can be built.”

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

AWS Machine Learning Blog

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 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.

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Amr Nour-Eldin, Vice President of Technology at LXT – Interview Series

Unite.AI

Another key takeaway from that experience is the crucial role that data plays, through quantity and quality, as a key driver of AI model capabilities and performance. Luckily, I have an excellent team that is very adept at creating and tailoring solutions to our clients' often-specialized AI data needs.

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LXT’s Report ‘The Path to AI Maturity 2024’: Unmasking the Future of AI Innovation and Corporate Transformation

Unite.AI

This meticulously crafted executive survey not only charts the accelerated journey of AI integration across industries but also illuminates the transformative shifts towards operational excellence and the rising tide of generative AI technologies.

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How to build a successful AI strategy

IBM Journey to AI blog

This calls for the organization to also make important decisions regarding data, talent and technology: A well-crafted strategy will provide a clear plan for managing, analyzing and leveraging data for AI initiatives. Research AI use cases to know where and how these technologies are being applied in relevant industries.