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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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Intellectual Property Law Becomes Murkier As More Creations Are Created with AI

Smart Data Collective

As it stands, intellectual property law is partly prepared to tackle this. Ahmed Elgammal, director of Rutgers Art and Artificial Intelligence Laboratory, explains in his article published in American Scientist that these programs employ one of two algorithm classes. Is the practice considered plagiarism? Conclusion.

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Sweat the small stuff: Data protection in the age of AI

CIO

While NIST released NIST-AI- 600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile on July 26, 2024, most organizations are just beginning to digest and implement its guidance, with the formation of internal AI Councils as a first step in AI governance.So

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The Rome Call for AI Ethics: Should CIOs heed it?

CIO

As enterprises increasingly look to artificial intelligence (AI) to support, speed up, or even supplant human decision-making, calls have rung out for AI’s use and development to be subject to a higher power: our collective sense of right and wrong. Artificial Intelligence Transparency, though, is a whole other matter.

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2 Innovations That Can Tip the Balance in Cybersecurity

CIO

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. It does not include traditional policy and legal landmines such as personally identifiable information, protected health information, intellectual property, or surveillance-related data.

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Good data is the bedrock for genAI success: How can organizations process and prepare their data?

CIO

Lastly, businesses need to be sure that their data is sourced legally and ethically, and in a way that respects privacy and confidentiality, along with any relevant intellectual property rights. What’s more, you’re also missing information that can be used to train and fine-tune algorithms, and make them more intelligent.

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Making the gen AI and data connection work

CIO

Twenty-nine percent of 644 executives at companies in the US, Germany, and the UK said they were already using gen AI, and it was more widespread than other AI-related technologies, such as optimization algorithms, rule-based systems, natural language processing, and other types of ML.