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5 skills needed to become a prompt engineer
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Synthetic data mimics real data without sensitive information. It offers cost-effective options and competitive advantages for AI training, software testing and data monetization.
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Top AI KPIs that business leaders need to know
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The operational reality of enterprise AI
AI models are now commodities. It's enterprise challenges like security, scalability and integration are the real barriers to successful deployment.
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AI watermarking is being used to identify deepfakes, enhance transparency and build trust in AI-generated content, but reliability issues and false positives present challenges.
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What to know about synthetic data as a business advantage
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Leading AI with ethics: The new governance mandate
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Context engineering takes prompting to a higher business level
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5 skills needed to become a prompt engineer
With the rise of generative AI, prompt engineering has emerged as a new profession. Desired skills include refining prompts, analyzing AI output and ensuring alignment with business goals.
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Top AI KPIs that business leaders need to know
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How to ensure AI transparency, explainability and trust
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Turn your AI center of excellence from sidelines to impact
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Enterprise Artificial Intelligence Basics
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Get Started
5 skills needed to become a prompt engineer
With the rise of generative AI, prompt engineering has emerged as a new profession. Desired skills include refining prompts, analyzing AI output and ensuring alignment with business goals.
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Get Started
10 AI business use cases that produce measurable ROI
When justifying their investments in AI deployments, business leaders know keeping up with the Joneses isn't enough without uncovering a positive ROI. Here's where to find it.
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Context engineering takes prompting to a higher business level
In the care and feeding of AI models and chatbot interfaces, prompting alone can be a fool's errand in strategic business planning without the proper context to interpret prompts.
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