Remove Intellectual Property Remove Learning Remove Win
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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. Were seeing AI for data as one of the largest applications of AI in the enterprise at the moment, says Siz.

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

Smart Data Collective

To create the winning piece, the contestant entered some text into Midjourney, an online app that creates images based on text input. The result is a piece called ‘Théâtre D’opéra Spatial,’ one of the first AI-generated images to win an art contest. As it stands, intellectual property law is partly prepared to tackle this.

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Generative AI and the Transformation of Everything

CIO

Another major concern is copyright infringement and intellectual property (IP). Indeed, we are using many of the same sorts of machine learning and even generative AI tools to help identify malicious behavior as they are used to create it. To learn more about Generative AI and cybersecurity: download the whitepaper.

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Fostering Innovation at Discover Financial Services

CIO

Innovation is about modernization, it’s about optimization,” said Dan Gisolfi, Distinguished Engineer, Head of Innovation and Intellectual Property at Discover Financial Services. “It It’s basically a forum for research and development, giving engineers the freedom to experiment, fail, succeed, and learn.

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Making the gen AI and data connection work

CIO

When applicable, data augmentation solves the problem of insufficient data or compliance with privacy and intellectual property regulations,” says Laveglia. Gartner agrees that synthetic data can help solve the data availability problem for AI products, as well as privacy, compliance, and anonymization challenges.

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10 best practices when partnering for strategic skills

CIO

In addition to AI and machine learning, data science, cybersecurity, and other hard-to-find skills , IT leaders are also looking for outside help to accelerate the adoption of DevOps or product-/program-based operating models. Invest in win-wins. Dig into talent management details.

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Shadow AI will be much worse than Shadow IT

CIO

If we don’t learn from history, we’re doomed to repeat it Shadow AI has the potential to eclipse Shadow IT. You see, unlike IaaS where organizations hold encryption keys, AIaaS, by default, is learning from your data. Everything from privacy of customer data to intellectual property is at risk. What’s at stake?