Remove Intellectual Property Remove Marketing Remove Security
article thumbnail

The key to operational AI: Modern data architecture

CIO

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. Ensuring effective and secure AI implementations demands continuous adaptation and investment in robust, scalable data infrastructures.

article thumbnail

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

CIO

The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value. Things will get worse.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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
article thumbnail

New trade body wants to license training data for AI use

CIO

Seven companies that license music, images, videos, and other data used for training artificial intelligence systems have formed a trade association to promote responsible and ethical licensing of intellectual property. These frameworks should identify, evaluate, and address potential risks in AI projects and initiatives.

article thumbnail

EU taps AI experts to develop compliance framework for AI regulations

CIO

This could force companies to share sensitive information, raising concerns over intellectual property and competitive advantage. Srinivasamurthy pointed out that key factors holding back enterprises from fully embracing AI include concerns about transparency and data security.

article thumbnail

Generative AI: 5 enterprise predictions for AI and security — for 2023, 2024, and beyond

CIO

From IT, to finance, marketing, engineering, and more, AI advances are causing enterprises to re-evaluate their traditional approaches to unlock the transformative potential of AI. The data privacy and security risks of AI applications themselves Not all AI applications are created equal. In general, they fall into two buckets: 1.

Security 501
article thumbnail

3 Top Email Security Practices to Prevent a Data Breach

Smart Data Collective

As most enterprises use email as their primary medium to pass on information, implementing a robust email security plan is not an option but a necessity. If you are concerned about the cyber safety of your data-driven enterprise , use the below-listed best practices for email security in 2021. Why do you need an email security plan?

Security 362