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

CIO

As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. 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.

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2 Innovations That Can Tip the Balance in Cybersecurity

CIO

Army Major General and Vice President and Federal Chief Security Officer for Palo Alto Networks What critical innovations can change the balance in cybersecurity, providing those of us responsible for defending our organizations with more capabilities against those who would do us harm? By John Davis, Retired U.S. government.

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

CIO

Security and privacy : These systems must be secure and respect the privacy of users. 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. Impartiality : AI systems must not follow or create biases.

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What are the main challenges CISOs are facing in the Middle East?

CIO

This continued emergence of cloud environments has greatly affected application development and their associated security architectures. Cloud environments by their nature often consist of rapid DevOps cycles eliminating the need for application developers to adequately maintain secure applications.

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Good data is the bedrock for genAI success: How can organizations process and prepare their data?

CIO

Implementing governance and security for that data is also critically important, ensuring that it’s both protected against breaches and compliant with regulation. What’s more, you’re also missing information that can be used to train and fine-tune algorithms, and make them more intelligent.

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IT leaders explore footing amid shifting needs and the AI power struggle

CIO

The chatPG platform provides our employees with the same capabilities as an external OpenAI model while protecting our intellectual property and IT security in ways external tools can’t yet do.” But companies need to step away from one-off initiatives and move to scaling algorithmic solutions across their entire business.