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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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AI & the enterprise: protect your data, protect your enterprise value

CIO

Imagine a hacker compromising a healthcare database and simply changing the blood type of every individual in a research study or the entire patient population. Risk of compromised data Another major risk issue for executives is compromised data or data contamination. In any scenario, the results would be disastrous. Things will get worse.

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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. AICAN’s results have surprised researchers, as they were so accurate that people couldn’t tell that AI made it. Businesses might get stuck in needless intellectual property conflicts—a ‘legal minefield,’ as legal experts say. Conclusion.

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10 AI strategy questions every CIO must answer

CIO

Here are 10 questions CIOs, researchers, and advisers say are worth asking and answering about your organizations AI strategies. To counter such statistics, CIOs say they and their C-suite colleagues are devising more thoughtful strategies. As part of that, theyre asking tough questions about their plans.

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3 steps to get your data AI ready

CIO

Further Gartner research conducted recently of data management leaders suggests that most organizations arent there yet. The risk of exposing intellectual property also has to be mitigated, especially when AI is offered as a cloud-based service.

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EU taps AI experts to develop compliance framework for AI regulations

CIO

This could force companies to share sensitive information, raising concerns over intellectual property and competitive advantage. On the other hand, such a push for transparency could also drive wider AI adoption, according to Sharath Srinivasamurthy, associate VP of research at IDC.

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7 risk management rules every CIO should follow

CIO

Risks often emerge when an organization neglects rigorous application portfolio management, particularly with the rapid adoption of new AI-driven tools which, if unchecked, can inadvertently expose corporate intellectual property. That may sound straightforward, but many CIOs fall short of this fundamental discipline, Grimes observes.