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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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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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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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Optimizing hybrid cloud architecture for AI workloads
Hybrid cloud architecture can help with the unique scalability, hardware and governance needs of AI workloads. But is it the right choice for your business?
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How watermarking AI content benefits businesses
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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AI governance can make or break data monetization
As pressures mount for businesses to get the most value from their data, AI governance ensures the data to be monetized is secure, protected, trustworthy and used responsibly.
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Regression in machine learning: A crash course for engineers
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As AI systems consume data for training and decision-making, businesses must navigate complex regulations, geopolitical boundaries and vendor risks.
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Five years can seem like an eternity in a world where AI's technological advancements occur almost daily, but best to be prepared now and avoid "future shocks."
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A Guide to Unlock the Power of Private AI
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AI Everywhere
AI is transforming how we work. The majority of data center AI inference deployments today run on Intel® Xeon® processors. Learn why Intel® AI is the most trustworthy
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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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How watermarking AI content benefits businesses
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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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How to navigate data sovereignty for AI compliance
As AI systems consume data for training and decision-making, businesses must navigate complex regulations, geopolitical boundaries and vendor risks.
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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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10 AI business use cases that produce measurable ROI
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AI's impact on Google search engine antitrust ruling
While some believe the ruling was too light, it does emphasize the role of GenAI vendors as competitors in the market.
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Artificial intelligence platforms
Anthropic announces $13B fundraise, $183B valuation
While the vendor's valuation is still far away from OpenAI's, investors still have confidence in the vendor -- especially as it focuses on enterprise safety and coding.
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