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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? The Law As It Stands.

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

CIO

Its become ultra-important for CISOs to monitor LLM interactions, track protected source code in cloud repositories (repos), and prevent unauthorized AI indexing of intellectual property and other private data. That manipulation of financial trading platforms might cause the company and its investors to lose a great deal of money.Or

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

CIO

The principle of responsibility will require broader buy-in, as it requires a cultural shift to avoid blaming unwelcome decisions on an algorithm, whether AI-based or not. Reliability and security can be taken into account at every level, but CIOs may need to bake inclusion and impartiality into project requirements at an early stage.

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2 Innovations That Can Tip the Balance in Cybersecurity

CIO

Using machine learning algorithms, a decision can be rendered in near real-time — less than 10 minutes is state-of-the-art today — and a protection can be delivered automatically to stop the threat everywhere in the organization’s enterprise environment without the need for any human intervention.

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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.

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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.