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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. It takes human input out of the equation, forcing the AI to learn through the images fed to it alone. Businesses might get stuck in needless intellectual property conflicts—a ‘legal minefield,’ as legal experts say. How AI Generation Works.

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

CIO

AI companies and machine learning models can help detect data patterns and protect data sets. How long might it be before a hacker group unlocks your data and intellectual property, perhaps already harvested with or without your knowledge, and potentially uses that data for harm? Things will get worse.

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3 steps to get your data AI ready

CIO

New technology became available that allowed organizations to start changing their data infrastructures and practices to accommodate growing needs for large structured and unstructured data sets to power analytics and machine learning.

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Digital transformation 2025: What’s in, what’s out

CIO

Dark data, often hidden in emails, spreadsheets, outdated systems, and often a derivative of the main data sources, can include sensitive intellectual property or personal data, making it vulnerable to breaches, says Nishant Doshi, chief product and development officer at Cyberhaven.

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Get your data AI-ready

CIO

Across industries, 78 % of executives rank scaling AI and machine learning (ML) use cases to create business value as their top priority over the next three years. Source data responsibly Sourcing data responsibly means acquiring and using data in a way that is ethical, legal, and respectful of privacy and intellectual property rights.

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CISO viewpoint part 1: AI’s impact on people, policies & processes

CIO

They want to create the right ethical standards, protect intellectual property, and ensure employees’ (and the company’s) well-being. What I learned will hopefully shed some light and help support or validate your organizational efforts regarding AI. Lay out some guardrails for people so they innovate, and you can be the hero!”