Intellectual Property Learning Win 
CIO
MARCH 26, 2025
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.
CIO
JANUARY 7, 2025
Since many early AI wins drive productivity improvements and efficiencies, CIOs should look for opportunities where real cost savings can drive further innovation and infrastructure investments. AI tools exacerbate the issue by exposing these data pockets, creating new security risks.
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CIO
OCTOBER 24, 2023
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.
CIO
SEPTEMBER 7, 2023
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.
CIO
AUGUST 9, 2024
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.
CIO
MARCH 7, 2024
Finally, it will need strong governance capabilities to ensure the accuracy of responses, prevent biases, and protect privacy and intellectual property rights,” he says. It will also need to be capable of incorporating data from a variety of data sources, both internal and external to the enterprise.
CIO
MARCH 26, 2024
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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