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

CIO

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? What will your protection be against quantum computing attacks on your data?

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3 steps to get your data AI ready

CIO

Use AI to improve data, and knowledge to improve AI The good news is AI is part of the solution, adds Siz. A knowledge layer can be built on top of the data infrastructure to provide context and minimize hallucinations. The more you focus on knowledge, the more accurate your AI.

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Enabling productivity and scale through improved enterprise knowledge management

CIO

As the amount of knowledge generated within organizations continues to rise, firms must implement systems that make it easy for employees to find the information they need when they need it. Yet knowledge workers still spend a disproportionate amount of time searching for information. This article was co-written with Leila Dige.

Knowledge 369
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Overcoming data compliance and security challenges in the age of AI

CIO

Without proper data governance, transparency, and security, customer data, intellectual property, or other sensitive corporate information can be fed into LLM models, risking unintended data leakage. Additionally, BMC Helix customers have the option to configure whether internal knowledge articles can be used for their GenAI responses.

Security 307
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Implications of generative AI for enterprise security

CIO

Providing sensitive information to Generative AI programs such as personally identifiable data (PII), protected health information (PHI), or intellectual property (IP) needs to be viewed in the same lens as other data processor and data controller relationships. As such, proper controls must be in place.

Security 467
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Generative AI and the Transformation of Everything

CIO

ChatGPT’s pool of knowledge is essentially the whole of the Internet. Another major concern is copyright infringement and intellectual property (IP). They involve copying or putting sensitive corporate data, files, or images into public generative AI apps.

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How to kick-start your generative AI strategy

CIO

Among their biggest concerns: exposing intellectual property through publicly available generative AI models, revealing the personal data of users to third-party vendors or service providers, and securing the AI itself from criminal hackers. Two-thirds of risk executives surveyed by Gartner consider gen AI a top emerging risk.